# multi-llm Adopt this skill: https://proskills.md/skills/other/beastlabai-multi-llm-plugin-skills-multi-llm Page: https://proskills.md/skills/other/beastlabai-multi-llm-plugin-skills-multi-llm This document is the public skill bundle for that page. It contains SKILL.md and every helper file the catalog carries. No login is required. ## File: skills/multi-llm/SKILL.md size: 17764 sha: 0e7e8de21f3c2b61cb698a32671075f737b5648d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/SKILL.md ````text --- name: multi-llm description: "Orchestrate code plan reviews, task generation, implementation, code reviews and commit reviews using multiple LLM providers in parallel, or ask each model a free-text question about a plan. Use this skill whenever the user wants to review a plan with multiple models, generate implementation tasks, implement tasks with subagent delegation, review code changes against a plan, review or fix the commits they made, ask the models a question about a plan, or run any multi-model workflow. Triggers on: 'review my plan', 'multi-llm', 'run code review', 'generate tasks from plan', 'implement this plan', 'use multiple models to review', 'ask the models about my plan', 'ask a question about this plan', '--ask', 'improve my plan', 'review and apply the suggestions', 'improve the code', 'review and fix the code', 'review my last commit', 'review the last N commits', 'review this branch's commits', 'fix the issues in my last commit'." allowed-tools: - Bash(uv:*) - Bash(PYTHONUNBUFFERED=1 uv:*) - Bash(command -v uv) - Bash(ls:*) - Bash(grep:*) - Bash(diff:*) - Bash(tail:*) - Bash(dirname:*) - Bash(test -x:*) - Bash(git rev-parse:*) - Read - Edit - Write - Task - AskUserQuestion - Glob - Grep argument-hint: [--review-plan|--apply-suggestions|--improve-plan|--generate-tasks|--review-tasks|--apply-task-suggestions|--implement|--review-code|--apply-code-fixes|--improve-code|--review-commits|--apply-commit-fixes|--improve-commits|--full|--ask|--status|--init] |[] (: --*-commits only) ["" (required for --ask)] [--models provider:model ...] [--interactive] [--quick] [--yes] [--force] [--scope-policy expand|preserve] [--focus ""|--context-plan PATH (--*-commits only)] [--dir PATH|--gitignore|--template-only (--init only)] --- # Multi-LLM — Claude Code entry shim This file carries the facts true of Claude Code and nothing else; the workflow lives in the shared host-neutral core, loaded in step 4 — never re-derived here. ## 1. Skill directory Claude Code expands `${CLAUDE_SKILL_DIR}` to this skill's absolute path inside *this* file before you read it, so every command below is already resolved: run them as written, and **keep the double quotes** (the path may contain spaces, e.g. `C:\Users\John Smith\...`, and an unquoted expansion word-splits). ## 2. Check `uv`, before the first `uv run` Run `command -v uv` exactly as written — standalone, never chained (chaining loses the permission allow rule). A path means proceed; otherwise check the locations a fresh shell may not have on `PATH` yet, reading **stdout, not the exit status** (this `ls` exits non-zero whenever any candidate is missing, the normal case): ```bash ls "$HOME/.local/bin/uv" "$HOME/.local/bin/uv.exe" "$HOME/.cargo/bin/uv" "$HOME/.cargo/bin/uv.exe" /opt/homebrew/bin/uv /usr/local/bin/uv /opt/local/bin/uv 2>/dev/null ``` If uv is genuinely absent, print `${CLAUDE_SKILL_DIR}/hosts/uv-missing.txt` verbatim and **stop with exit 3** — never install it, never ask, never fall back to bare `python`. ## 3. Map the user's flag to a mode word Flags are position-independent, and the mode flag is the mode word without its `--` (`--review-code` → `review-code`, `--full` → `full`, and so on for every flag in `argument-hint`). **No mode flag means `review-plan`.** Everything else the user typed passes through verbatim — never add a flag they did not type. The first positional is the **plan path**; for `--ask` the next single quoted argument is the **question**. Never re-join an unquoted multi-word question, never re-type a path you could copy, never infer a plan path from the conversation. A missing plan path, or an empty or unquoted question, is an error: show the usage hint from `argument-hint` and stop. `--init` takes no plan path. **The three commit modes** (`--review-commits`, `--apply-commit-fixes`, `--improve-commits`) take an optional **range**, not a plan path: the bare words right after the mode flag, none meaning `HEAD`. Bare words are joined into one range (`--review-commits last 2 commits` needs no quotes, unlike `--ask`'s question), and a `-N` there is a range (`-2`, the last 2 commits). Pass them right after the mode word, before any flag, as typed: range words after a flag are refused with `[RANGE_AFTER_FLAGS]`, and a run takes one range. A plan goes in `--context-plan `, never in the range; after the launch, every command you spell takes the brief `[COMMIT_BRIEF]` names as its plan path, as the mode's core says, and a command the run prints keeps the pinned range it prints. ## 4. Load the mode's core instructions, then execute them step by step ```bash uv run --frozen --no-dev --project "${CLAUDE_SKILL_DIR}" -- python "${CLAUDE_SKILL_DIR}/multi_llm.py" util instructions ``` This prints the core with every skill-dir placeholder already substituted — but most cores exceed this host's Bash-result cap, and what comes back is then a `` stub: a file path plus the output's first 2 KB. **That stub is not the core**: it keeps what the mode is and how it is invoked, which reads like a finished overview, and drops the end, where the steps that do the work are. So first find, in the result, the line its opening lines say the core ends with; if it is missing, `Read` the path the stub names, in full, before your next tool call, and treat that file as the core. Never run a mode command from a core you have not seen the end of — the usage line in the surviving 2 KB runs cleanly, reports success, and applies nothing. The documented fallback, `${CLAUDE_SKILL_DIR}/instructions/.md`, leaves its path placeholder for you to fill. ## 5. Capability verbs — how this host answers each one The core names three capability verbs and never a tool. These are their one concrete resolution here, so nothing is left to decide mid-run: - **Spawn subagents** — call your host's own subagent tool `Task`: when the task carries `task.prompt_path`, tell the subagent to read that file in full — through line `task.prompt_lines`, paging if one read returns fewer — and follow it verbatim, printing only what it asks; if the file is absent, or the task has no `prompt_path`, pass `task.prompt` verbatim. Take the role from `task.subagent_type` when your tool needs one, and write the JSON it returns to `task.output_path`. Never pass `--exec-subagents` on this host. - **Ask the user** — call your host's own structured question tool `AskUserQuestion`, then copy the selected option's command verbatim. Never compose a flag from the user's words. - **Run detached** — use your host's own background mechanism `run_in_background`, redirecting stdout and stderr to the phase dir's `orchestrator-run.log` (`> … 2>&1`, the one dispatcher command that takes a redirect: every foreground call runs bare), and give that launch call a timeout of its own, the longest the parameter takes: 7200000 here, in milliseconds (2 hours; a session whose maximum is lower clamps it rather than refusing it). Without one the mechanism stops the command at its default deadline, as short as ten minutes, and a fan-out still running then dies mid-run (exit `143`, `next` `null`). Never pass `--detach` on this host. Then make one **non-waiting** `status --host --view run --exit-zero` call — no `--wait`, no `--timeout`, so it answers in well under a second — and relay its `progress:` line and `models:` table once: the count is on the one, and the other's rows are the only thing that says which CLI and model each of them runs. The run writes that roster a few seconds after launch, so repeat that one call once if no table printed yet, adding `--wait --timeout 10` as the wait (never `sleep` before a call: a call that does not start with `uv` loses its permission rule) — and a table that *does* print can still be the previous run's, because the phase dir is re-used and the write that claims it for this fan-out drops the predecessor's `progress` only about 0.2 s in: a table under a `progress:` step that is not `fanout` is the last run's, so make that call again rather than relaying it. That step is the whole test — a head line reading `finished in foreground (…)` rather than `running` is what a re-used dir prints all run long once an earlier `--detach` run left its own terminal `run` record in it, so the tense names no run. Then poll while it runs, one foreground `status --host --view run --wait --timeout --exit-zero` call per turn at a 120-300 s interval, relaying the rendered `progress:` line and, whenever one prints, the `just finished:` line that names the model that turned terminal during that wait — verbatim. Its absence claims nothing: that line is a difference between two readings taken inside one wait, so a model that finished in the gap between polls is already terminal when the next poll takes its baseline — so every poll compares its `models:` table with the previous poll's and names every newly terminal row that line did not name, copying its spec and state word out of the row — a copy, never a recount. Nothing else from the view is relayed mid-run. Spell `--host` out yourself — no launcher printed a command to copy it from, and without it the wait is clamped under the tightest ceiling on record — and give the call itself a timeout of at least the interval plus 30 s, in that parameter's own unit — milliseconds here, so 330000 for a 300 s interval, not 330, which is a third of a second — because this host's default per-call cap is shorter than the interval and would otherwise kill every poll from the first. No exit code from that poll ends the loop except `1`, the unreadable one: nothing on this host names one invocation, so without `--exit-zero` `2` is the steady state and a `0` or a `3` belongs to an earlier run in the same dir and names no verdict for this one: read the exit code as nothing, relay the rendered line exactly as on a `2`, and keep polling. Both calls carry `--exit-zero` so every answer that was read exits `0` and none shows as an error. The loop ends when the background mechanism reports the process exited; read the markers and output paths from `orchestrator-run.log` then, and report a non-zero exit status with that path rather than retrying. A stop at the mechanism's time limit (exit `143`, `next` `null`, `status` still reading `running in foreground`) names no way forward of its own, so offer the user each of these and run none yourself: the launch, made again the same way with `--force` added, which resumes, keeping each model whose result file is in the phase dir (`[SKIP]`) and running the rest (without it, review-code and the commit modes refuse a dir holding results, exit `3`; never `--rerun-all`); and, on a review mode with at least one such file, its `--reaggregate`, which reports with those and lists the rest as failed. Say which models have a file: a `done` row can have none, its result held in memory for the fan-out's end. Where the mode instruction names a continuation for a stopped run (a composite's `[IMPROVE_RERUN]`), offer that instead. The mode instruction names the selector and the rest of the loop. While a phase runs, wait in this session for what it started: each subagent's, and each background command's, completion notification arrives on its own, and ending your turn while they run is how you wait. Never call `ScheduleWakeup`, `CronCreate` or `/loop` to come back later, and never schedule a phase command to run again: a scheduled prompt keeps a headless session open after its last reply and, when it fires, runs the phase a second time (the plugin's hook refuses both while a phase runs). When a batch's edits need more work, send the batch back to the subagent that ran it (`SendMessage`) and verify it again; never edit a batch's files yourself, since its diff, its record and its summary all count every change as its subagent's. ## 6. The one dispatcher command Every mode is this single command, with `--host claude-code` baked in, and every `util` command a core names starts the same way. Run each one from the directory this session started in (normally the repository root), and never `cd` in a Bash call: this host's Bash keeps the new directory for every later call, so a relative plan path then names a file that is not there. Run each one alone in its Bash call and spelled exactly as written here, the skill directory as printed: nothing chained before or after it (no probe, no `cd`, no other command) and no shell variable standing in for it, since a call that does not start with `uv` loses this skill's allow rule: ```bash uv run --frozen --no-dev --project "${CLAUDE_SKILL_DIR}" -- python "${CLAUDE_SKILL_DIR}/multi_llm.py" "" --host claude-code [flags…] ``` Exit codes are uniform (`0` done, `1` error, `2` nothing to do / already complete, `3` needs a human) and the last stdout line is always `MULTI_LLM_RESULT: {…}`: read `state`, `artifacts` and `next` from it rather than mining the transcript, and report what its `notice` says, when it has one, every part of it, as plain text. Put it above the closing section, and repeat nothing that section says. Run `next` verbatim when it is not `null` on `0` and `2`. On `3` stop: report to the user which phase stopped, on which plan or commit range, the last error line it printed, whole (on a stop it says what stopped, what it reported, what did not run and whether anything ran the repository's tests), and the options its output names (`next` included); do not run a different mode. Do not perform the work this run was going to review, plan, or implement: doing it yourself is never a substitute for a failed run. Run an option only after the user has picked it. Never edit `driver.write_paths`, or any other multi-llm setting in `.multi-llm/providers.yaml`, yourself. At a stop, offer only the ways forward the stop itself names, as it words them: when it names a change to `driver.write_paths` that lets a refused file be written (adding it to `allow`, or removing or narrowing a deny rule that covers it), that is one of them and the user's call; add no advice about the write policy of your own. Run `next` as printed, never re-typed: its plan path as printed, no flag added or dropped (no re-spelled plan flag, no lost `--quick --yes`). Run every foreground dispatcher call bare: no pipe (not even `| tail`), no `2>&1`, no `sleep` before it — a pipe reports `tail`'s exit code (a `3` reads as `0`), a trim drops the marker lines above the result line, and a command that does not start with `uv` loses this skill's allow rule. A long output is saved to a file: read it. Run the repository's own test or check command (implement's regression step) the same way: bare, its whole output read. The detached launch (*Run detached*, section 5) is the one exception: it redirects stdout and stderr into the phase dir's `orchestrator-run.log` (`> … 2>&1`). A stop at the background mechanism's time limit is the one stop whose ways forward are not its own to name: it names none, so offer the ones *Run detached* (section 5) lists for it, as it words them. `user_next_step` is the phase after this one, for the user to type: never run it yourself; end your report with the section the lookup prints between its `[NEXT_STEP_MARKDOWN]` and `[NEXT_STEP_MARKDOWN_END]` lines (its `markdown`), copied as it is (its words and order, each command alone in its fenced block, each why and note plain text, the manual tasks it lists included, no caption of your own). Only that section says "Workflow complete.": never write those words yourself. Copy it word for word, never wrapped in a fenced block of your own (its commands are fenced already), and say none of it twice: its whys, notes, manual tasks and "Workflow complete." appear only in it, never above it. After a workflow phase exits `0` or `2` with `next` `null` (never after `status`, `ask`, `init`), get it as the report's first step, after every command the core names: the command above with `util next-command "" --after ` replacing ` ""`, no `[flags…]`, the plan path as the user typed it — even when a `[NEXT_COMMAND]` line is already on screen (a `next` run can name it absolutely). After `1` or `3` look nothing up: a failed run has no next command. A native `implement` that stopped part-way exited `0`, so look it up: its section is the resume and each answer the stop offers, each with its why: copy it as given, whys included, in place of any list, recap or summary of the ways forward of your own; when the plugin ran no tests, the lookup also prints a `[TESTS_NOT_RUN]` line: give the text after the tag in the report, verbatim, as plain text. A lookup that prints no `[NEXT_COMMAND]` or `[WORKFLOW_COMPLETE]` line means there is none: write no command and never fill the gap (not from `suggested next:`, a plan path or a default). ## 7. Examples ```bash /multi-llm:multi-llm plans/my-feature.md # review-plan (the default) /multi-llm:multi-llm --full plans/my-feature.md --yes # fully unattended /multi-llm:multi-llm --ask "plans/my plan.md" "Is the rollback strategy sufficient?" /multi-llm:multi-llm --review-commits # review the last commit (HEAD) /multi-llm:multi-llm --review-commits last 2 commits # a range: bare words, no quotes /multi-llm:multi-llm --improve-commits this branch # review, then fix, this branch's commits ``` Providers and models live in `${CLAUDE_SKILL_DIR}/providers.yaml` (per-repository override via `--init`); `docs/providers.md` in the repository has the rest. ```` ## File: skills/multi-llm/legacy/README.md size: 3296 sha: 4372a0db8051d710b0ed8142448f1b4a5ffded38 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/legacy/README.md ````text # `legacy/` — the pre-refactor instruction tree This directory holds the **host-coupled instruction core exactly as it was before the host-neutral rewrite**: the same 11 `instructions/*.md` and 5 `references/*.md` files, byte-for-byte, still naming `Task` / `AskUserQuestion` / `run_in_background` / `${CLAUDE_SKILL_DIR}` and each `*_orchestrator.py` directly. It exists because the rewrite touched ~5k lines of battle-tested markdown, and the golden regression guard (`tests/test_instruction_refactor_guard.py`) is necessary but not sufficient: it proves the modes the guard fixture exercises, not the interactive corners a real user hits on day two. So there is **a way back that does not undo the Python work** — reverting the rewrite commit would also give back every `${CLAUDE_SKILL_DIR}` site the dispatcher was built to delete. ## Using it ```bash MULTI_LLM_LEGACY_INSTRUCTIONS=1 ``` With that variable set to `1`, `multi_llm.py util instructions ` serves the file from `legacy/instructions/` instead of `instructions/`, renders it against the running skill dir exactly as it renders the current core (the renderer substitutes every spelling of the placeholder, `${CLAUDE_SKILL_DIR}` included), and prints a one-line notice to **stderr** so a transcript records which core was read. Nothing else changes: same dispatcher, same modes, same exit codes, same `MULTI_LLM_RESULT` line. The escape hatch is a *read-path* switch, not a second implementation. `improve-plan`, `improve-code`, `review-commits`, `apply-commit-fixes` and `improve-commits` postdate the rewrite and have no frozen copy here: with the variable set they serve the current core, exactly as without it, and print no notice. ## Boundaries - **Claude Code only.** The legacy text names Claude Code's tools, so it is a fallback for the reference host and for nothing else. A non-Claude host that sets the variable gets instructions naming tools it does not have. - **Not maintained.** These files are frozen at the pre-refactor state. Fixes land in `instructions/`; nothing is back-ported here. One exception, forced by a Python change rather than a markdown one (2026-10-05): the write phases' orchestrators now record a phase *started* at emit and leave completion to the host's closing step, so `instructions/apply-suggestions.md` gained a closing `apply_suggestions_orchestrator.py --plan-file … --mark-completed` step (§8) and `instructions/implement.md`'s step 10 a closing `finalize_tracking.py --state-file … --mark-completed` call. Without them this core could no longer complete either phase; a write-path branch on the environment variable would have broken the "read path only" rule above instead. `tests/test_legacy_instructions.py` pins both. - **Not linted, not counted.** The host-neutrality lint, the `${CLAUDE_SKILL_DIR}` manifest and the `{SKILL_DIR}` site inventory all scan `instructions/` and `references/` and deliberately skip this directory — a frozen copy that had to pass the new rules would not be a copy. - **Expected lifetime: one release.** Once the reference host has run the rewritten core through the interactive corners the guard cannot reach, this directory and the environment variable go away together. ```` ## File: skills/multi-llm/tests/container/home_seed/README.md size: 2743 sha: ff43608fd36e41c7f860a142b1841c5ae507a9c4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/home_seed/README.md ```text # `home_seed//` — minimum synthesized config, value-free and tracked Every container row starts each identity at its **first-run posture** in a fresh tmpfs `$HOME`, which is the point: it is the state a real user's machine is never in, and therefore the one nothing else tests. These templates are the measured minimum that lets each CLI start non-interactively, pass the executor's own credential probe, and run without stopping to ask for approval. **They contain no values.** Every credential field is an empty string or a `{{placeholder}}` the entrypoint or the PATH wrapper substitutes at row start — with the *fake* per-exec stub session key on the provider lane, and on the host lane with whatever `creds.yaml` resolved. That is why `.gitignore` anchors its credential rules by path (`**/.codex/auth.json`) and then negates this whole directory back in: a bare `*auth.json` would silently untrack these files — `git add` appears to succeed, `git ls-files` never lists them, the committed-secret scanner never walks them, and the build context ships without them — surfacing three phases later as an opencode row that dies on `not_authenticated`. ## Measured, not assumed (Phase 1) | id | file | why it is needed | | --- | --- | --- | | `codex` | `.codex/config.toml` | selects the stub provider; **`$CODEX_HOME` must also point here and the directory must exist** — codex exits 1 with "CODEX_HOME points to … but that path does not exist", and a *relative* `$HOME` makes it resolve `~/.codex` against nothing and fall straight through to `api.openai.com` | | `codex` | `.codex/auth.json` | `codex login status` prints "Not logged in" and exits **1** without it, and `classify_auth_probe` reads that as `False` — so `install-host codex` fails row 5 and `preflight_runner` refuses the batch before the first stub call | | `opencode` | `.local/share/opencode/auth.json` | where `opencode auth list` reads credentials from | | `claude-code` | `.claude.json` | onboarding + a trust entry for `/work/sample-project`; the real `~/.claude.json` is deny-listed (87 KB of per-project history and MCP definitions that routinely embed third-party keys), so this is synthesized instead of mounted | **One measured surprise worth knowing before you trust an opencode row:** a logged-out `opencode auth list` prints "0 credentials" and exits **0**, which matches none of the adapter's `auth_error_patterns` — so `classify_auth_probe` returns `True` and the executor preflight admits the batch. Unlike codex, opencode does *not* fail closed on a missing credential; its `install-host` row 5 reports `auth=ok` on a completely fresh `$HOME`. A negative auth row on opencode therefore cannot expect a `not_authenticated` refusal. ``` ## File: skills/multi-llm/tests/container/README.md size: 71717 sha: 104b39f5274ab144e41da6070543107b8766443f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/README.md ````text # multi-llm - Harness the harnesses ![multi-llm plugin for Claude Code](https://beastlab.ai/images/multi-llm-plugin-for-claude-code-monster.jpg) **Wisdom of crowds for your codebase.** Use this plugin to improve planning, implementation, and code review by running the same work through multiple AI coding tools and LLMs in parallel - then consolidating their feedback so you catch bugs, blind spots, and improvements a single model might miss. The diversity works on two axes: not only do you get different **LLM models** (Opus, GPT, Gemini, Grok, Composer, ...), you also get different **code harnesses** (19 supported CLIs: [Cursor Agent](https://cursor.com/docs/cli/overview), [Gemini CLI](https://geminicli.com/docs/get-started/), [Grok Build](https://docs.x.ai/build), [Codex](https://developers.openai.com/codex/cli), [OpenCode](https://opencode.ai/docs/cli/), [Kilocode](https://kilo.ai/docs/cli), [Cline](https://docs.cline.bot/), [goose](https://block.github.io/goose/), [Aider](https://aider.chat/), [Antigravity CLI](https://antigravity.google/docs/cli/using), [Pi](https://pi.dev/docs/latest/usage), [Muse Code](https://dev.meta.ai/docs/muse-code/extending), [Kimi Code](https://code.kimi.com/docs), [Qwen Code](https://qwenlm.github.io/qwen-code-docs/), [GitHub Copilot CLI](https://docs.github.com/en/copilot/concepts/agents/about-copilot-cli), [Mistral Vibe](https://docs.mistral.ai/vibe/), [oh-my-pi](https://github.com/can1357/oh-my-pi), [Vercel fx](https://github.com/vercel-labs/fx), and [Claude Code](https://code.claude.com/docs/en/) itself) - each with its own prompting, tooling, and context-gathering behavior. Two harnesses running the *same* model can still surface different findings, so combining both axes widens the crowd further. 📺 **[Short video intro](https://www.youtube.com/watch?v=91lpnxAsyqs)** or **[Full video walkthrough](https://www.youtube.com/watch?v=_ySRt7rr0r8)** of the plugin in action. `multi-llm` fans **plan reviews, task generation, implementation, code reviews and commit reviews** out to several CLI-based LLMs in parallel - or asks every model the same free-text question about a plan - then validates and consolidates their suggestions and hands the host structured instructions to apply the results. The orchestrators never modify your code directly - they produce JSON that the host executes through its own tools, so every change stays reviewable. Your host session's model does the validating, so adding cheap reviewers is close to risk-free: it keeps their good catches and drops the rest ([cost, speed and choosing models](#4-cost-speed-and-choosing-models)). It installs as a **Claude Code plugin**, and the same workflow runs inside **Codex** and **OpenCode** too: on Codex as a Codex plugin, on OpenCode as the [`opencode-multi-llm`](https://www.npmjs.com/package/opencode-multi-llm) npm package. For either host, `install-host` is an alternative that writes a native entry point (a small command file) instead. See [Installation](#1-installation) and [docs/hosts.md](docs/hosts.md). --- ## What it looks like `plans/my-feature.md` stands for any Markdown plan; the commit modes need none. These are Claude Code commands: on OpenCode type `/multi-llm` instead, and on Codex `$multi-llm:multi-llm`, followed by the same arguments. ```text # Review a plan using the configured default LLMs /multi-llm:multi-llm plans/my-feature.md # Pick models explicitly, from several providers /multi-llm:multi-llm --review-plan plans/my-feature.md --models codex:gpt-5.5-extra-high cursor-agent:composer-2.5 # Quick review (fewer, preselected subset of models) /multi-llm:multi-llm --review-plan plans/my-feature.md --quick # Review code changes against the plan /multi-llm:multi-llm --review-code plans/my-feature.md # Review the plan, then apply the validated suggestions to it, unattended /multi-llm:multi-llm --improve-plan plans/my-feature.md --quick # Review your last commit (no plan needed) /multi-llm:multi-llm --review-commits # Review the commits after main, with error handling as the priority /multi-llm:multi-llm --review-commits main..HEAD --focus "error handling" # Review this branch's commits, then apply the validated fixes, unattended /multi-llm:multi-llm --improve-commits this branch # Review/implement/code-review a plan using the configured default LLMs completely hands-off /multi-llm:multi-llm --full plans/my-feature.md --agent-decide --non-interactive # Ask every model the same question (read-only Q&A) /multi-llm:multi-llm --ask plans/my-feature.md "Is the rollback strategy sufficient?" ``` Every mode and option is in [3. Modes](#3-modes). --- ## 1. Installation Pick your host (1.1 to 1.3), then configure providers (1.4). The prerequisites in 1.5 apply to every host. ### 1.1 Claude Code Installs as a Claude Code plugin. In Claude Code: ```text /plugin marketplace add beastlabai/multi-llm-plugin /plugin install multi-llm@beastlabai /reload-plugins /reload-skills /multi-llm:multi-llm --init ``` Then invoke the skill (plugin skills are namespaced `plugin:skill`), or just ask Claude to "review my plan with multiple models": ```text /multi-llm:multi-llm plans/my-feature.md ``` > **Added the marketplace before, in another project?** `/plugin marketplace add` reuses the cached copy and installs a stale version. Run the [update steps](docs/installation.md#updating-the-claude-code-plugin) instead. ### 1.2 Codex Installs as a Codex plugin: a `multi_llm` tool plus a `multi-llm:multi-llm` skill. Needs codex >= 0.159.2, python3 >= 3.9 and `uv` on `PATH`. Linux is verified; on Windows use the file route. ```bash codex plugin marketplace add beastlabai/multi-llm-plugin --ref release \ --sparse .agents --sparse packaging/codex codex plugin add multi-llm@beastlabai # then start a NEW Codex session ``` Codex plugins cannot add slash commands, so `/multi-llm` is not available. Mention the skill with `$` instead, followed by the same arguments the Claude Code skill takes. Once per repository, run `--init` first: it writes `/.multi-llm/providers.yaml`, which no upgrade touches. ```text $multi-llm:multi-llm --init $multi-llm:multi-llm plans/my-feature.md ``` If the model ever reworks your arguments, spell the request out: `Use the multi-llm:multi-llm skill with exactly these arguments: plans/my-feature.md`. > **Before you install:** the plugin's tool runs outside Codex's exec sandbox, so in a read-only session it refuses the modes that edit your working tree unless `MULTI_LLM_CODEX_UNSANDBOXED_WRITES=1` is set. Despite its name, `MULTI_LLM_CODEX_UNSANDBOXED_WRITES=1` lifts only this tool's own refusal of write-capable modes under a read-only or unreadable session posture. It never lets the Codex processes the orchestrator starts write without a sandbox, and it does not change which sandbox they run under: a Codex editing job refused because Codex's own sandbox cannot start on this host stays refused with it set. Provider API keys must be exported from `~/.profile` or `~/.bash_profile`, because Codex starts the tool with a stripped environment. Updating, uninstalling, platform support and troubleshooting are in [docs/hosts.md](docs/hosts.md#codex-plugin-route). ### 1.3 OpenCode Installs from npm as [`opencode-multi-llm`](https://www.npmjs.com/package/opencode-multi-llm): a `/multi-llm` command plus a `multi_llm` tool. Needs opencode 1.19.5 or newer and `uv` on `PATH`. Linux is verified; macOS and Windows are untested on this route. 1. **Add the package** to the `plugin` list in `~/.config/opencode/opencode.json` (create the file if you have none), keeping the exact version (OpenCode never updates an unpinned entry): ```json { "plugin": ["opencode-multi-llm@0.1.4"] } ``` 2. **Restart OpenCode** while online, then check that it loaded - on this route a failure is silent: ```bash opencode debug config | jq '.command["multi-llm"] != null' # true = loaded ``` 3. **Run `--init` once per repository,** then ```` ## File: skills/multi-llm/tests/container/runs/README.md size: 5042 sha: e969b52ddf430b0a4d60cf098a14904277fe9eb0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/runs/README.md ```text # `runs/` — raw evidence bundles (ephemeral, gitignored) Each container row binds `/work/out` here, at `runs///`, and leaves: - `stub.jsonl` — every request the stub server received, including the ones it could not answer (`unhandled: true`) and the ones no pattern matched (`unmatched: true`); - `calls.jsonl` — the PATH wrapper's call log: one redacted argv per real CLI invocation, plus the scrub receipt (child environment variable *names*, never values, and the config root); - `receipts//NNN.receipt.json` — one per dispatcher invocation, written by the `uv` wrapper: the parsed `MULTI_LLM_RESULT` payload, the run-id-correlated worker record, exit code and wall clock; - `artifacts/` — the plan's output directory, copied out by the entrypoint's `finally` step so a failed row still leaves its phase dirs, `state.json` and `.status.json` files behind. ## This directory is not provenance **Nothing in the repo may cite a path under `runs/` as evidence** — not `hosts/capabilities.yaml`, not a commit message, not a README. It is gitignored, `make e2e-clean` prunes it, and a fresh clone does not have it. A dangling pointer into a deleted directory is exactly the failure mode the split exists to prevent, and a test asserts no tracked file contains a `runs/` path outside the two places that describe the directory itself. The longer-lived half is the sibling **`records/`**: a sanitized, schema-pinned summary the host-side driver derives from these bundles — host id, CLI version, image digest, row outcomes, the credential census, cost actuals, and the sha256 of every file here. Records are **local too**: every harness run writes fresh ones, so `records/` is gitignored except for `record.schema.json` and the codex release network-check records (`*-codex-release-network-check*.json`), which the publish workflow reads from the default branch. `make e2e-prune` and `make e2e-clean` never touch it. If you still have a bundle, `make e2e-verify-record REC=records/-.json` re-hashes it and says whether it is the one the promotion cited. If you deleted it, the record still stands on its own and the tool reports the bundle as *missing* rather than as *mismatched* — which is the honest answer, since deleting this directory is a supported thing to do. ## Capped, and safe to delete The lane prunes itself: `harness.prune_runs` runs as each bundle directory is created and keeps the newest **8**, plus bundles leased by active drivers. Leases last until the driver exits, so concurrent runs cannot prune evidence that session-scoped graders still need. Process exit (including a crash) releases the lease. Zero-byte files in `.run-locks/` keep lock identities stable without entering bundle digests. Platforms without POSIX locks skip pruning. `MLLM_E2E_RUNS_KEEP` overrides the number and `0` turns the sweep off. `make e2e-prune KEEP=n` is the same sweep on demand, for a checkout that predates it. Both are shape-aware: only `[-]/` directories are candidates, so this README, `lock-update/` and `surface/` stay. `make e2e-clean` is still the blunt instrument — `rm -rf runs/*/`, which takes those with it — and both leave `records/` untouched. **Why a cap and not just an ignore rule.** `runs/` is gitignored, and that was treated as the whole answer until it wasn't: nothing that copies a *working tree* consults `.gitignore`. `codex plugin add` against a local-path marketplace and a local-path plugin install both take the directory as it stands, so an uncapped `runs/` is a distribution problem before it is a disk one — it reached **1.2 GB here, in a repo with 18 MB of tracked files**, and the advertised install would have copied every byte of it. The build context is a separate defence and already holds (`.dockerignore` re-excludes `runs/**` from inside an allowlisted tree); the cap is what protects the routes that have no context file to read. A pruned bundle costs nothing a record needed: `make e2e-verify-record` reports **MISSING** and exits 0, saying the record stands on its own, rather than reading the absence as a mismatch. One consequence worth knowing: **`test_container_argv.py` grades what is in here**. It grades the bundles *its own invocation* produced — the run roots `harness.MATRIX` recorded, filtered to the rows whose `row-result.json` says `lane: provider`, because a discovery-only or host-only bundle dispatches no argv this table describes and would starve every entry. Reading a bundle back from disk survives only as the fallback for running that module alone, and only when the bundle is newer than every input the comparison depends on (`expected_argv.yaml`, `normalize_argv.py`, the provider adapters, the subagent executor and the write scheduler); otherwise it skips, naming the command to re-run, rather than passing on stale evidence. So a clean disarms it until the next lane run, and editing a `build_command()` — or the table itself — cannot be graded against yesterday's argv. ``` ## File: skills/multi-llm/tests/golden/README.md size: 3958 sha: 75e800d8a13a797a390e41d023594c151e312978 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/README.md ````text # Golden Baseline Snapshots Pre-refactor baseline snapshots for the three apply orchestrators, captured for artifact parity validation during and after the ApplyOrchestratorBase refactor. ## Capture Details - **Capture date**: 2026-03-14 - **Commit hash**: `b50260c71d204c9f67a948168f78cb8591f18879` - **Branch**: `master` (pre-refactor state) ## Orchestrators Covered 1. `apply_suggestions_orchestrator.py` — applies validated plan review suggestions 2. `apply_code_fixes_orchestrator.py` — applies validated code review fixes 3. `apply_task_suggestions_orchestrator.py` — applies validated task review suggestions ## Artifact Types ### `--help` output CLI argument parser output for each orchestrator. Verifies that CLI interfaces remain identical after refactor. - `apply_suggestions_help.txt` - `apply_code_fixes_help.txt` - `apply_task_suggestions_help.txt` **These are normalized, not raw captures.** Since D1 each parser's `epilog` prints its example commands with the skill dir *resolved from `__file__`* (no `${CLAUDE_SKILL_DIR}` — no shell but Claude Code's expands it, so on Codex or OpenCode a copied example would die before Python started). A raw capture would therefore bake the capturing machine's absolute path into a checked-in fixture, so `capture_baselines.normalize_skill_dir` rewrites it back to the `{SKILL_DIR}` template token. Compare against live `--help` by rendering the fixture forward with the skill's own renderer — one round-trip, no second normalization rule: ```python cli_common.render_instruction_text(golden_text, cli_common.skill_dir()) ``` ### `--dry-run` output Console output (stdout + stderr) from running each orchestrator with `--dry-run` against representative test fixtures. Captures batch summaries, filtering decisions, and item counts. - `apply_suggestions_dry_run_stdout.txt` / `_stderr.txt` / `_exit_code.txt` - `apply_code_fixes_dry_run_stdout.txt` / `_stderr.txt` / `_exit_code.txt` - `apply_task_suggestions_dry_run_stdout.txt` / `_stderr.txt` / `_exit_code.txt` ### JSON output (`orchestrator_output.json`) Full output JSON from each orchestrator run, capturing schema structure, keys, value types, nesting, batch count, batch contents, and ordering. - `apply_suggestions_output.json` — stdout JSON from `--output-format json` - `apply_suggestions_orchestrator_output.json` — file written to disk - `apply_code_fixes_output.json` — stdout JSON from `--output-format json` - `apply_code_fixes_orchestrator_output.json` — file written to disk - `apply_task_suggestions_orchestrator_output.json` — file written to disk - `apply_task_suggestions_stdout.txt` — stdout from normal run ### Report-parsing intermediates Parsed user edits, skips, and validation overrides from report.md for each orchestrator, serialized as JSON snapshots. - `apply_suggestions_report_parsing.json` - `apply_code_fixes_report_parsing.json` - `apply_task_suggestions_report_parsing.json` ### Metadata - `capture_metadata.json` — capture date, commit hash, file manifest ## Regenerating Baselines To regenerate all golden files from the current code state: ```bash uv run --project skills/multi-llm -- python \ skills/multi-llm/tests/golden/capture_baselines.py ``` The script is idempotent and will overwrite existing golden files. ## Usage in Parity Validation During the refactor, compare post-refactor outputs against these golden files to ensure behavioral parity: 1. **CLI interface**: Diff `--help` output against golden help files 2. **Dry-run output**: Compare stderr markers, counts, and batch summaries 3. **JSON schema**: Validate that output JSON has identical keys, types, and nesting 4. **Report parsing**: Ensure skipped items, overrides, and edits are parsed identically Note: Some fields in the JSON outputs are environment-specific (e.g., `plan_file` paths contain `/tmp/` prefixes, `timestamp` values). Parity checks should normalize or ignore these fields. ```` ## File: skills/multi-llm/tests/README.md size: 5530 sha: bda1f2ff3f3d283ddb192e20e3b6f83a1c26762d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/README.md ````text # Test Suite Documentation This directory contains unit tests and integration tests for the multi-llm skill. ## Quick Start ```bash # Run all tests uv run -- pytest # Run with verbose output uv run -- pytest -v # Run a specific test file uv run -- pytest tests/test_filtering.py -v # Run a specific test class uv run -- pytest tests/test_filtering.py::TestFilterItems -v # Run a specific test uv run -- pytest tests/test_filtering.py::TestFilterItems::test_filter_valid_items -v ``` ## Test Categories ### Unit Tests These test individual functions and classes in isolation: | File | Module Tested | Description | |------|---------------|-------------| | `test_importance.py` | `utils/importance.py` | Importance level calculations and comparisons | | `test_filtering.py` | `utils/filtering.py` | Bulk approval conflict resolution, item filtering | | `test_validation_recovery.py` | `utils/validation.py` | Error classification, validation result loading/saving | | `test_state_manager_decisions.py` | `utils/state_manager.py` | Group ID generation, human decision tracking, resume state | | `test_schema_validator.py` | `utils/schema_validator.py` | JSON schema validation | | `test_json_extractor.py` | `utils/json_extractor.py` | JSON extraction from LLM responses | | `test_output_handler.py` | `utils/output_handler.py` | Output file path handling | | `test_provider_registry.py` | `utils/provider_registry.py` | LLM provider configuration | ### Integration Tests These test the orchestrators end-to-end using subprocess calls: | File | Description | |------|-------------| | `test_apply_suggestions_integration.py` | Tests `apply_suggestions_orchestrator.py` with various CLI options | ## Running Integration Tests Integration tests use mock data in `plans/test-plan/` to avoid calling real LLMs. ```bash # Run integration tests uv run -- pytest tests/test_apply_suggestions_integration.py -v # Regenerate test fixtures if they become stale uv run -- python tests/test_apply_suggestions_integration.py --setup-fixtures ``` ### Integration Test Fixtures The integration tests use a self-contained test plan at `plans/test-plan/`: ``` plans/ ├── test-plan.md # Mock plan file └── test-plan/ ├── state.json # Session state (for resume tests) └── review-plan/ ├── backup.md # Original plan backup ├── grouped.json # 10 suggestion groups └── validation.json # Validation results (v2 format) ``` The fixtures include: - **10 suggestion groups** with varying importance (HIGH, MEDIUM, LOW) - **Validation results** covering all statuses: - 4 `valid` - 2 `needs-human-decision` (real ambiguity) - 3 `validation_failed` (parsing_error, timeout, rate_limited) - 1 `invalid` - **State file** with: - 1 previously processed item - 1 previous human decision (approved) ## Test Patterns ### Import Pattern All test files use this import pattern to access the skill modules: ```python import sys from pathlib import Path sys.path.insert(0, str(Path(__file__).parent.parent)) from utils.filtering import filter_items ``` ### Fixture Pattern Common fixtures are defined in `conftest.py`: ```python @pytest.fixture def temp_dir(): with tempfile.TemporaryDirectory() as d: yield Path(d) @pytest.fixture def sample_plan(temp_dir): plan_file = temp_dir / "test-plan.md" plan_file.write_text("# Test Plan\n...") return plan_file ``` ### Class-Based Test Organization Tests are organized into classes by feature: ```python class TestFilterItems: """Tests for filter_items() function.""" def test_filter_valid_items(self): ... def test_filter_with_bulk_approval(self): ... ``` ## Coverage Report To generate a coverage report: ```bash # Run with coverage uv run -- pytest --cov=. --cov-report=html # Open the report open htmlcov/index.html ``` ## Troubleshooting ### Import Errors If you see `ModuleNotFoundError`, ensure you're running from the skill directory: ```bash cd skills/multi-llm uv run -- pytest ``` ### Stale Fixtures If integration tests fail unexpectedly, regenerate the fixtures: ```bash uv run -- python tests/test_apply_suggestions_integration.py --setup-fixtures ``` ### Plan Hash Mismatch The state file includes a `plan_hash` that must match the actual plan content. If you modify `plans/test-plan.md`, regenerate fixtures to update the hash. ## Adding New Tests 1. **Unit tests**: Add to the appropriate `test_*.py` file or create a new one 2. **Integration tests**: Add to `test_apply_suggestions_integration.py` or create a new integration test file 3. **Fixtures**: Add common fixtures to `conftest.py` ### Example: Adding a Unit Test ```python # tests/test_my_module.py import sys from pathlib import Path import pytest sys.path.insert(0, str(Path(__file__).parent.parent)) from utils.my_module import my_function class TestMyFunction: def test_basic_case(self): result = my_function("input") assert result == "expected" def test_edge_case(self): with pytest.raises(ValueError): my_function(None) ``` ### Example: Adding an Integration Test ```python # In test_apply_suggestions_integration.py class TestNewFeature: def test_new_option_works(self): result = run_orchestrator("--new-option", "--dry-run") assert result.returncode == 0 assert "expected output" in result.stderr ``` ```` ## File: skills/multi-llm/references/host-capabilities.md size: 14429 sha: fb87a4e5bbd0ba04a069dfef7b996db60265c7db upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/references/host-capabilities.md ```text # Host capabilities Human-readable view of `hosts/capabilities.yaml`. **Nothing reads this file at run time** — not an orchestrator, not a shim, and above all not a driving agent. The YAML is consumed by `multi_llm.py`, by `install-host` and by the tests; this document exists for people reading the repo. Every value carries a **provenance**: `verified` means a recorded live smoke run observed it, `documented` means host docs only, `unknown` is the shipping default. A `documented`-only value never selects the non-conservative path — which is why hosts whose native subagent dispatch is merely documented ship as `subagents: executor`, and why a documented command-timeout ceiling is worked around with `--detach` rather than trusted. The three **capability verbs** are the spine of each entry. The host-neutral instruction core says *spawn subagents* / *ask the user* / *run detached*; the columns below say what each resolves to, and a shim bakes that resolution in as a sentence when it is installed. | Host | Shim (repo → installed) | `arguments` | *spawn subagents* | *ask the user* | *run detached* | Default runner | `nested_exec` (spawn/network/creds) | Max subagents | Timeout ceiling | Verified | |---|---|---|---|---|---|---|---|---|---|---| | `claude-code` | *not rendered* → `SKILL.md` | `placeholder` | `native` (`Task`) — verified | `structured` (`AskUserQuestion`) — verified | `native` (`run_in_background`) — verified | `claude-code:sonnet` | allowed/allowed/allowed | 10 | 600 s (not raisable) | `arguments`, `ask`, `default_subagent_runner`, `detach`, `installable`, `multi_turn`, `native_tool`, `next_command.skill`, `shim_max_lines`, `subagent_tiers`, `subagents` | | `codex` | `hosts/codex/shim.md.tmpl` → `SKILL.md` | `placeholder` | `executor` (`agent`) — documented | `free-text` — documented | `python` — documented | `codex:gpt-6-astra` | unknown/unknown/unknown | 4 | none documented | `invocation`, `next_command.default`, `next_command.package`, `package`, `session_runner_provider` | | `opencode` | `hosts/opencode/shim.md.tmpl` → `commands/multi-llm.md` | `placeholder` | `executor` (`task`) — documented | `free-text` — documented | `required` — verified | `opencode:opencode/big-pickle` | unknown/unknown/unknown | 4 | 120 s (raise via env: `unknown`, config: `unknown`) | `arguments`, `detach`, `headless_invocation`, `install_paths`, `installable`, `invocation`, `multi_turn`, `next_command.default`, `next_command.package`, `package`, `reload`, `shim` | ## Per-host notes and stripped variables ### `claude-code` - Installable: `false`; reload after install: `none` - Invocation (documented): invoke it as `/multi-llm:multi-llm [options]`, or as `/multi-llm [options]` when the skill is installed as a plain skill under one of `install_paths`. - Driving agent gets a turn after a command returns (`multi_turn`): `true` — verified. A `false` here is what addresses a failed batch's retry instruction to the human rather than to an agent that will never read it. - Subagent tiers: full `sonnet`, cheap `haiku` - Verb sentences a rendered shim carries: - **Spawn subagents** — call your host's own subagent tool `Task`: when the task carries `task.prompt_path`, tell the subagent to read that file in full — through line `task.prompt_lines`, paging if one read returns fewer — and follow it verbatim, printing only what it asks; if the file is absent, or the task has no `prompt_path`, pass `task.prompt` verbatim. Take the role from `task.subagent_type` when your tool needs one, and write the JSON it returns to `task.output_path`. Never pass `--exec-subagents` on this host. - **Ask the user** — call your host's own structured question tool `AskUserQuestion`, then copy the selected option's command verbatim. Never compose a flag from the user's words. - **Run detached** — use your host's own background mechanism `run_in_background`, redirecting stdout and stderr to the phase dir's `orchestrator-run.log` (`> … 2>&1`, the one dispatcher command that takes a redirect: every foreground call runs bare), and give that launch call a timeout of its own, the longest the parameter takes: 7200000 here, in milliseconds (2 hours; a session whose maximum is lower clamps it rather than refusing it). Without one the mechanism stops the command at its default deadline, as short as ten minutes, and a fan-out still running then dies mid-run (exit `143`, `next` `null`). Never pass `--detach` on this host. Then make one **non-waiting** `status --host --view run --exit-zero` call — no `--wait`, no `--timeout`, so it answers in well under a second — and relay its `progress:` line and `models:` table once: the count is on the one, and the other's rows are the only thing that says which CLI and model each of them runs. The run writes that roster a few seconds after launch, so repeat that one call once if no table printed yet, adding `--wait --timeout 10` as the wait (never `sleep` before a call: a call that does not start with `uv` loses its permission rule) — and a table that *does* print can still be the previous run's, because the phase dir is re-used and the write that claims it for this fan-out drops the predecessor's `progress` only about 0.2 s in: a table under a `progress:` step that is not `fanout` is the last run's, so make that call again rather than relaying it. That step is the whole test — a head line reading `finished in foreground (…)` rather than `running` is what a re-used dir prints all run long once an earlier `--detach` run left its own terminal `run` record in it, so the tense names no run. Then poll while it runs, one foreground `status --host --view run --wait --timeout --exit-zero` call per turn at a 120-300 s interval, relaying the rendered `progress:` line and, whenever one prints, the `just finished:` line that names the model that turned terminal during that wait — verbatim. Its absence claims nothing: that line is a difference between two readings taken inside one wait, so a model that finished in the gap between polls is already terminal when the next poll takes its baseline — so every poll compares its `models:` table with the previous poll's and names every newly terminal row that line did not name, copying its spec and state word out of the row — a copy, never a recount. Nothing else from the view is relayed mid-run. Spell `--host` out yourself — no launcher printed a command to copy it from, and without it the wait is clamped under the tightest ceiling on record — and give the call itself a timeout of at least the interval plus 30 s, in that parameter's own unit — milliseconds here, so 330000 for a 300 s interval, not 330, which is a third of a second — because this host's default per-call cap is shorter than the interval and would otherwise kill every poll from the first. No exit code from that poll ends the loop except `1`, the unreadable one: nothing on this host names one invocation, so without `--exit-zero` `2` is the steady state and a `0` or a `3` belongs to an earlier run in the same dir and names no verdict for this one: read the exit code as nothing, relay the rendered line exactly as on a `2`, and keep polling. Both calls carry `--exit-zero` so every answer that was read exits `0` and none shows as an error. The loop ends when the background mechanism reports the process exited; read the markers and output paths from `orchestrator-run.log` then, and report a non-zero exit status with that path rather than retrying. A stop at the mechanism's time limit (exit `143`, `next` `null`, `status` still reading `running in foreground`) names no way forward of its own, so offer the user each of these and run none yourself: the launch, made again the same way with `--force` added, which resumes, keeping each model whose result file is in the phase dir (`[SKIP]`) and running the rest (without it, review-code and the commit modes refuse a dir holding results, exit `3`; never `--rerun-all`); and, on a review mode with at least one such file, its `--reaggregate`, which reports with those and lists the rest as failed. Say which models have a file: a `done` row can have none, its result held in memory for the fan-out's end. Where the mode instruction names a continuation for a stopped run (a composite's `[IMPROVE_RERUN]`), offer that instead. The mode instruction names the selector and the rest of the loop. - Install paths (project): `.claude/skills/multi-llm` - Install paths (global): `$HOME/.claude/skills/multi-llm` - Install paths (legacy): *none* - Runners: - `claude-code`: bundled=`true`, needs_auth=`false`, profiles=[generate, agent-readonly, agent-write], usage=`full` - `cursor-agent`: bundled=`false`, needs_auth=`true` (`cursor-agent login`), profiles=[generate], usage=`partial` - Refuse-to-start guards stripped from a dispatched runner: `CLAUDECODE`, `CLAUDE_CODE_ENTRYPOINT` - Session-scoping variables stripped: `CLAUDE_SESSION_ID`, `CLAUDE_SKILL_DIR` - Sanctioned exceptions that survive stripping: *none recorded* — audited, found nothing - Nested-exec notes: Native subagents run in-session; the executor is not on the default path for this host. ### `codex` - Installable: `true`; reload after install: `new-session` - Invocation (verified): invoke it by name rather than as a slash command — `Use the multi-llm skill with exactly these arguments: `. Codex installs this shim as a **skill**, which is model-invoked rather than typed: its composer answers `/multi-llm` with `Unrecognized command`. - Driving agent gets a turn after a command returns (`multi_turn`): `true` — documented. A `false` here is what addresses a failed batch's retry instruction to the human rather than to an agent that will never read it. - Subagent tiers: resolved from `providers.yaml` `driver.subagent_runner{,_cheap}` (this host does not dispatch subagents natively) - Verb sentences a rendered shim carries: - **Spawn subagents** — run the dispatcher with `--exec-subagents`: it dispatches every materialized task itself and continues past each marker in the same process. Never spawn a subagent by hand on this host. - **Ask the user** — print the numbered option block exactly as the dispatcher rendered it and copy the selected option's command verbatim, and only under `--interactive`. Otherwise the documented `--yes` default applies and nothing is asked. - **Run detached** — pass `--detach` (which implies `--yes`) on every fan-out mode, and on every apply mode and `implement`, whose write batches the executor runs inside that one command, then poll `status --view run`. Do this even when you expect the run to be quick: a run started in the foreground cannot be handed back to once your turn ends. Only a single-model call that applies no batch may stay in the foreground. Never combine `--detach` with a host background mechanism — pick one. - Install paths (project): `.codex/skills/multi-llm` - Install paths (global): `$HOME/.codex/skills/multi-llm` - Install paths (legacy): `$HOME/.codex/prompts/multi-llm.md` - Runners: - `claude-code`: bundled=`false`, needs_auth=`true` (`claude login`), profiles=[generate, agent-readonly, agent-write], usage=`full` - `codex`: bundled=`true`, needs_auth=`false`, profiles=[generate, agent-readonly, agent-write], usage=`full` - Refuse-to-start guards stripped from a dispatched runner: *none recorded* — the env diff has not run yet - Session-scoping variables stripped: *none recorded* — the env diff has not run yet - Sanctioned exceptions that survive stripping: *none recorded* — the env diff has not run yet - Nested-exec notes: Filled by the Phase 2 nested-exec smoke: --exec-subagents launched from inside `codex exec`'s own sandboxed shell, for both the same-host runner and a third-party one. ### `opencode` - Installable: `true`; reload after install: `new-session` - Invocation (verified): invoke it as `/multi-llm `. - Driving agent gets a turn after a command returns (`multi_turn`): `true` — verified. A `false` here is what addresses a failed batch's retry instruction to the human rather than to an agent that will never read it. - Subagent tiers: resolved from `providers.yaml` `driver.subagent_runner{,_cheap}` (this host does not dispatch subagents natively) - Verb sentences a rendered shim carries: - **Spawn subagents** — run the dispatcher with `--exec-subagents`: it dispatches every materialized task itself and continues past each marker in the same process. Never spawn a subagent by hand on this host. - **Ask the user** — print the numbered option block exactly as the dispatcher rendered it and copy the selected option's command verbatim, and only under `--interactive`. Otherwise the documented `--yes` default applies and nothing is asked. - **Run detached** — pass `--detach` (which implies `--yes`) on every fan-out mode, and on every apply mode and `implement`, whose write batches the executor runs inside that one command, and poll `status --view run`. This host caps a single shell command below the runtime of either, so no foreground path is offered for them. - Install paths (project): `.opencode/commands` - Install paths (global): `$XDG_CONFIG_HOME/opencode/commands`, `$HOME/.config/opencode/commands` - Install paths (legacy): *none* - Runners: - `claude-code`: bundled=`false`, needs_auth=`true` (`claude login`), profiles=[generate, agent-readonly, agent-write], usage=`full` - `opencode`: bundled=`true`, needs_auth=`false`, profiles=[generate, agent-readonly, agent-write], usage=`full` - Refuse-to-start guards stripped from a dispatched runner: *none recorded* — the env diff has not run yet - Session-scoping variables stripped: *none recorded* — the env diff has not run yet - Sanctioned exceptions that survive stripping: *none recorded* — the env diff has not run yet - Nested-exec notes: Filled by the Phase 3 nested-exec smoke from inside `opencode run`. ``` ## File: skills/multi-llm/references/human-decision-batch.md size: 17642 sha: 69baf1c5248551b2dd0145a328c44ed36269b110 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/references/human-decision-batch.md ````text # Human Decision Batch Mode When the orchestrator output includes `human_review_config`, use batch mode for efficient review of `needs-human-decision` items. **Under `--yes` (or `--non-interactive`) nothing in this file renders.** `--yes` implies `--agent-decide`, so `decision_mode` is always `"judge_auto_decide"` and the guard below routes every item to the judge — no batch summary, no per-item prompt, no 4-option cap to work around (D6 row 10). The batching described here exists only for the attended path. ## Batch Mode Guard (Required) Before prompting for ANY needs-human-decision item, check: 0. Read `human_review_config.decision_mode` from orchestrator output. If it is `"judge_auto_decide"` (set by the `--agent-decide` flag, which **`--yes` sets for you** — D6 row 10, so an unattended run always lands here): - Do NOT prompt the user at all — skip the batch summary AND any per-item question. - Go directly to the **"Let the Agent Decide" Mode** section below and evaluate every item autonomously. - This takes precedence over `batch_enabled` and `mode`. 0a. **Partition `needs_human_review` before doing anything else.** Split the items into two sets: - **Pre-marked judge set** — every item whose `group_id` appears in `human_review_config.judge_decide_item_ids`, **OR** that carries a per-item `decision_mode == "judge_auto_decide"` field. (The id list is a convenience index; the authoritative per-item signal is the `decision_mode` field — fall back to scanning that flag if an item has no stable id.) - **Interactive set** — all remaining items. Then: 1. **Process the pre-marked judge set first, without prompting.** Run the **"Let the Agent Decide" Mode** section below scoped to exactly those items (per-item trigger — one judging subagent, or the haiku coordinator fan-out if >4). Do NOT ask the user about these items, and do NOT include them in any batch summary. 2. **Then continue the steps below for the interactive set only** — the normal batch summary / individual prompts. (If the global `decision_mode == "judge_auto_decide"` from step 0, every item is already in the pre-marked set by construction, so the interactive set is empty.) 3. This per-item path is independent of `batch_enabled` / `mode`; it is the per-item analogue of the global `judge_auto_decide` mode. 1. Otherwise, for the **interactive set** read `human_review_config.batch_enabled` from orchestrator output 2. If `batch_enabled == true`: - Do NOT ask the user once per item - Present the batch summary prompt ONCE - Record all decisions with the same batch context 3. If `batch_enabled == false` OR `human_review_config` is missing: - Fall back to asking the user once per item ## Batch Approval Flow When there are multiple `needs-human-decision` items, present them in batches organized by importance level. **Ask the user**: - Question: "There are {N} items requiring human review ({X} HIGH, {Y} MEDIUM, {Z} LOW). How would you like to proceed?" - Header: "Batch review" - Options: - label: "Review each individually", description: "Traditional one-by-one flow" - label: "Let the agent decide", description: "The judge agent evaluates each item using its judgment" - label: "Approve all LOW, review others", description: "Auto-approve LOW importance, ask about rest" - label: "Approve all MEDIUM and LOW", description: "Auto-approve MEDIUM/LOW, ask about HIGH only" (A host whose ask mechanism caps the option count renders "Approve all" and "Skip all" through its overflow channel) ## "Let the Agent Decide" Mode Trigger this mode when **any** of the following hold: - the user selects "Let the agent decide" in the batch-approval prompt — scope: **all** `needs-human-decision` items, **or** - the user selects "Let the agent decide" for a single item in an individual / legacy per-item prompt — scope: **just that one item**, **or** - `human_review_config.decision_mode == "judge_auto_decide"` (the user passed `--agent-decide` on the command line, so no prompt is shown) — scope: **all** `needs-human-decision` items, **or** - **reviewer pre-marked items via report override** — every item whose `group_id` is in `human_review_config.judge_decide_item_ids`, **or** that carries a per-item `decision_mode == "judge_auto_decide"` field (set via the report's "Let the agent decide" dropdown/checkbox) — scope: **exactly those items**. This is **distinct from** the global `--agent-decide` trigger above: that flag targets **all** needs-human items, whereas this per-item trigger targets only the items the reviewer pre-marked in the report. See **Batch Mode Guard** step 0a for how this pre-marked set is gathered and processed (partition-then-process) before the interactive set. The evaluation is identical in every case; only the *set of items* it runs on differs. The per-item trigger exists so a user who is unsure about one specific item can offload just that decision to the judge agent — exactly as `--agent-decide` would have handled it — without touching the other items. ### Who owns the prompt, and where the verdict goes **Python owns the prompt; this section is narrative, not a template.** The apply orchestrator materializes one judging task per in-scope item into `{phase}/human_decision_tasks.json` (`utils/human_decisions.py`). **For each task in that file, run `task.prompt` as a subagent, then write the JSON it returns to `task.output_path`** — the same print/persist contract every other materialized task uses, and the reason no invoker needs to assemble a judging prompt. Always judge in a **subagent**, never inline in the main conversation — the reasoning is token-heavy and would crowd the main agent's context. The main agent stays responsible for *applying* and *recording*. Judging is complex reasoning: use the **full model**, never a cheap tier. Only a pure-orchestration fan-out coordinator (which writes no verdict) may be downgraded. **The judge is not necessarily Claude.** It is whichever agent runs the judging tasks: the host's own agent (through its native subagent tool) on a host that has one, or the runner `driver.subagent_runner` resolves to under `--exec-subagents` — the session model on Codex when available, with `codex:gpt-6-astra` as the host fallback. An explicit `driver.subagent_runner` takes precedence. **Do not choose the judge's name yourself.** The apply orchestrator settles it when it ingests the verdicts and records it on every decision as `batch_context.judge`: the runner spec the executor's provenance proves wrote the verdict file, ` host agent` (e.g. `claude-code host agent`) for a verdict the host's own agent wrote, or `executor (runner unrecorded)` when neither can be established. Wherever this file writes `{judge}`, it means that recorded value — read it from `state.json`'s `human_decisions_{phase}` entries, the same records the decisions come from, and copy it verbatim (several distinct values: list each once, comma-separated, in first-seen order). Never replace it with a name of your own, such as your model id or "Claude": the console block, `summary.md` and the HTML report badge all read that field, and this summary must name the same judge they do. Never tell the user "Claude is deciding" unless Claude actually is the judge. The rules below travel **inside** `task.prompt`, not as a pointer to this file: a headless runner may have no way to open it. They are rendered from `HUMAN_DECISION_JUDGE_RULES` in `utils/subagent_prompts.py`, which is the single source of truth — a test fails when this block and that constant diverge. **The verdict is a file with a schema, not a shape everyone remembers.** `human_decision_batch_.json` is `{"schema_version": "1.0", "judge": "", "verdicts": [...]}` (`judge` optional: it is what names a host-native judge's model in the report instead of "claude-code host agent"), each verdict `{group_id, decision, reason, salvaged_description, dropped}` with `decision ∈ approve|salvage|skip` and `salvaged_description`/`dropped` non-null iff `decision == "salvage"` — pinned by `schemas/human_decision_verdicts.schema.json`. The wrapper object (rather than a bare array) is what lets the ingest distinguish a truncated write from a legitimately empty verdict set. Verdicts are never returned as chat text: one that never touches disk is unrecoverable after a crash, invisible to `--resume`, and meaningless under `--detach`. Re-invoking the apply orchestrator once the verdict files exist ingests them: each verdict is schema-validated (naming the offending file and index), mapped by stable `group_id` — never by batch or list position — recorded via `record_human_decision`, and the work set is rebuilt from the recorded decisions, with `salvaged_description` substituted into the suggestion before batching. A group with no verdict stays `needs-human-decision`; it is never silently approved or dropped. Duplicate `group_id`s are an error unless the objects are identical, in which case the first wins. ### Three outcomes - **Approve (as-is)** — the suggestion is sound; apply it unchanged. - **Salvage (partial)** — only *part* of the suggestion is valid or worthwhile; rewrite it down to that defensible core and apply the rewritten version. **This is the default whenever an item is partially valid — never skip a whole suggestion just because part of it is wrong.** - **Skip** — there is nothing worthwhile to keep; drop the item entirely. ### Evaluation Criteria Read each item's details (title, description, importance, validation_reason, confidence) and decide based on: 1. **Clear improvement vs. subjective preference**: Approve items that address genuine bugs, security issues, or correctness problems. Be cautious with purely stylistic or preference-based items. 2. **Validation reason signals**: If the validation reason indicates genuine ambiguity ("could go either way", "trade-off", "matter of preference"), lean toward skipping. If it indicates implementation uncertainty ("not sure about scope", "might affect other files"), lean toward approving. 3. **Importance as risk signal**: Be more conservative (lean skip) with HIGH importance items — they have bigger impact if wrong. Be more permissive (lean approve) with LOW importance items. 4. **Security items lean approve**: Security-type items (XSS, injection, auth bypass, data exposure) should lean toward approval. 5. **Deletion caution**: For items that involve removing code/content, require stronger confidence before approving. Deletions are harder to reverse. 6. **Model consensus**: If the `models` array shows multiple models flagged this as `needs-human-decision`, be more cautious. If only one model flagged it while others said `valid`, lean toward approving. ### Deciding Approve vs. Salvage vs. Skip Apply the criteria above to each **distinct claim inside the suggestion**, not just the suggestion as a whole. Many `needs-human-decision` items are a mix — one solid point bundled with an overreach, a speculative extra, or an out-of-scope aside. Salvaging the worthwhile part is the **default** for such items. 1. **Identify the worthwhile core**: Which specific part(s) address a genuine bug, correctness, security, or clarity issue and survive the criteria above? 2. **Whole thing is sound** -> **Approve** as-is. 3. **Part is worthwhile, the rest is questionable / speculative / out-of-scope / low-confidence** -> **Salvage**: rewrite the description to keep only the worthwhile core and drop the rest. Salvage only ever **narrows** a suggestion — never add anything that was not in the original. The existing criteria still govern the kept part (e.g. deletion caution, security lean-approve). 4. **Nothing survives** — the item is purely subjective, speculative, redundant, or wrong -> **Skip**. Salvage only when a concrete, defensible improvement remains; do **not** manufacture value or apply a watered-down change just to avoid skipping. If there is nothing worthwhile, skip it entirely. A salvaged item is applied like an approval, except the **rewritten** description is what gets applied — never the original. ### Process 1. Run the judging tasks from `human_decision_tasks.json` as described above for the item(s) in scope (all `needs-human-decision` items for a batch/`--agent-decide` trigger; just the one selected item for a per-item trigger), writing each reply to its `task.output_path`, then re-invoke the apply orchestrator so it ingests the verdicts. 2. Present an informational summary (not a prompt — do not ask for confirmation): ``` Judge agent ({judge}) decisions for {N} needs-human-decision items: Approved ({A}): - [Title] ({importance}) — {brief reason} Salvaged ({V}): - [Title] ({importance}) — kept: {what was kept}; dropped: {what was dropped} Skipped ({S}): - [Title] ({importance}) — {brief reason nothing was worth keeping} ``` 3. Proceed directly: - **Approved** items → apply the original suggestion. - **Salvaged** items → apply the **rewritten** description (substitute it for the original when building the apply prompt / batch). - **Skipped** items → take no action. ### State Recording Record each decision using the existing `record_human_decision` mechanism. A salvaged item is recorded as an **`approved`** decision (it is an approval of the rewritten suggestion) carrying a salvage marker — this keeps `--resume` and any report consumer treating it as an applied approval, while the `batch_action` / `decision_source` distinguish it. The markers below are **identical regardless of what triggered the evaluation** — `--agent-decide`, the batch "Let the agent decide" option, or a single-item per-item "Let the agent decide" selection. Recording them the same way means `--resume`, the Markdown apply summary, and the HTML report all surface an agent-decided / salvaged item the same way, with no per-trigger special-casing. Approve / skip: ```json { "decision": "approved" or "skipped", "reason": "Agent decide [{judge}]: {brief reason}", "timestamp": "...", "batch_context": { "batch_id": "{generated}", "judge": "{judge}", "batch_action": "judge_auto_decide", "decision_source": "judge_auto_decide", "importance_at_decision": "{importance}" } } ``` Salvage (note `decision` stays `"approved"`): ```json { "decision": "approved", "reason": "Agent decide [{judge}] (salvaged): kept {what}; dropped {what}", "timestamp": "...", "batch_context": { "batch_id": "{generated}", "judge": "{judge}", "batch_action": "judge_auto_decide_salvage", "decision_source": "judge_auto_decide_salvage", "importance_at_decision": "{importance}", "salvaged_description": "{the rewritten description that was applied}", "dropped": "{brief note on what was intentionally left out}" } } ``` ## Individual Review Mode For "Review each individually" mode, group items by importance and ask the user once per level. For each importance level, first display the items as an informational list: ``` == {IMPORTANCE} IMPORTANCE ({count} items) == 1. [Title]: [Brief reason for needs-human-decision] {context line} 2. [Title]: [Brief reason] {context line} ``` Then **ask the user** once per importance level: - Question: "{IMPORTANCE} IMPORTANCE ({count} items): [{comma-separated titles}]. How would you like to handle these?" - Header: "{IMPORTANCE} items" - Options: - label: "Approve all {IMPORTANCE}", description: "Apply all {count} items at this level" - label: "Skip all {IMPORTANCE}", description: "Skip all {count} items at this level" - label: "Review individually", description: "Review each item one by one" - label: "Next importance level", description: "Skip to the next group" When the user picks **Review individually**, present each item in turn using the per-item prompt in **Legacy Individual Mode** below — which includes a **Let the agent decide** option so the user can offload any single item they are unsure about to the judge agent. ## Legacy Individual Mode For single items, when `batch_enabled == false`, or when the user chose **Review individually** above. For each item, **ask the user**: - Question: "How should we handle this item?" - Header: "Review needed" - Options: - "Apply/Fix this item" -> Process it (apply as-is) - "Skip this item" -> Skip and continue - "Let the agent decide" -> Offload just this item to the judge agent: run **"Let the Agent Decide" Mode** scoped to this single item (spawn one judging subagent per **Delegate the judgment to a subagent**), then apply the original (approve), apply the rewritten description (salvage), or skip per the subagent's verdict, and continue to the next item - "Skip all remaining" -> Exit early The **Let the agent decide** option lets a user who is unsure about a specific item hand that one decision to the judge agent; it behaves exactly like `--agent-decide` would for that item (Approve / Salvage / Skip, with salvage preferred over skipping a partially-valid item). Record its outcome with the same `judge_auto_decide` / `judge_auto_decide_salvage` markers shown under **State Recording** so reports and `--resume` treat it identically to a flag-driven auto-decision. ```` ## File: skills/multi-llm/references/own-check.md size: 4420 sha: 7c637ad6efe5be365059d369a087a5c0c450b576 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/references/own-check.md ```text # Recording a code batch's own check A subagent that edited code — an implement task that declares files, or an apply-code-fixes batch — ends its reply with a `check` object saying which checks it ran on its edits. Record it on that batch's `util batch-done` call with `--own-check`, by the first rule below that fits the object. The `--exec-subagents` leg reads the same object by the same rules (`subagent_executor.batch_check_findings`), so both legs record the same result. ## Words the rules use - **A finding**: an entry of its `findings` (a bare string or object is one entry) that is not empty. Beside a `passed` that is true, an entry that only says nothing was found (`"none"`, `"n/a"`, `"no problems found"`, `0`) is no finding either. - **`passed` is true** when it reads `true`, `"true"`, `"yes"`, `"pass"`, `"passed"` or `1`; **false** when it reads `false`, `"false"`, `"no"`, `"fail"`, `"failed"` or `0`; anything else (missing, `null`, `"maybe"`) is **neither**. - **`ran` maps a command to failed** when that command's outcome reads `"failed"`, `"fail"`, `"fails"`, `"failing"` or `false`; to **passed** for `"passed"`, `"pass"`, `"ok"`, `"success"` or `true`; to **not run** for `"not run"`, `"skipped"` or `"could not run"`. A list of `": "` strings, or of `{"command": …, "outcome": …}` objects, is read the same way. - **It ran nothing** when its `ran` is there and names no command it ran: `ran` is empty (`{}` or `[]`), or each entry is not run or the result shape's placeholder `` copied as it is (as a key, a string, or an object's `command`); or it has no `ran` at all but gives a `not_run` reason (a non-blank string). ## The rules 1. **No `check` object** (none at all, `null`, or not an object): leave `--own-check` out. 2. **`could_not_run` is true**: `--own-check findings --finding "its check could not run: "` (just `--finding "its check could not run"` when it names none). 3. **It ran nothing** — its `passed: true` is then a pass of nothing, never a pass: - it names a finding: `--own-check findings` and one `--finding` per finding, whatever `passed` says; - else, `passed` is false: `--own-check findings` with no `--finding` (it said its check failed and named nothing); - else: `--own-check none` — it ran no check, which is never a pass. 4. **Otherwise** — its `ran` names a command it ran, or its `check` has neither `ran` nor a `not_run` reason (an older reply): - `passed` is true: `--own-check passed` (what it lists beside a pass, such as `npm test: 12 passed`, is not a failing check), unless `ran` maps a command to failed: then `--own-check findings` and one `--finding ": failed"` per such command; - `passed` is false: `--own-check findings` and one `--finding` per finding, plus one `--finding ": failed"` per command `ran` maps to failed that no finding names (no `--finding` at all when there is neither); - `passed` is neither: as for false when it names a finding or `ran` maps a command to failed; else `--own-check passed` when `ran` maps a command to passed; else `--own-check none`. Each `--finding` is a finding as the reply wrote it, character for character, with no words of yours added: a finding that repeats one the user accepted for a check counts as accepted only when it says nothing more. A `note` in the `check` (the subagent's own words about its checks, such as that a failure is the accepted one) is recorded with `--note ""` beside `--own-check`, never as a `--finding`; the `--exec-subagents` leg records the same note, and neither leg reads it as a finding. A note is a comment, never a failure: every failure the check printed stays a `--finding`, so a `[FINDING_RESTATE]` call is run only when the words it moves to `--note` are a comment, never when they report something the check printed beyond the accepted finding (another value, test or line). `--own-check findings` is recorded with `--status completed`: the edits are kept and the check is reported as failing. An apply-code-fixes batch's `listed` is recorded beside it, one `--listed-check "{command}={outcome}"` per entry (step 6 of its runbook): a command it lists as failed is a failing check whatever the rules above gave, and a `passed: false` that names no finding beside a `listed` naming no failure is read as no failing check. ``` ## File: skills/multi-llm/references/resume-detection.md size: 2206 sha: 922ef8d3dfdba38c6e0934bdd4cdc4874b9fce55 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/references/resume-detection.md ```text # Resume Detection Check for existing output BEFORE running the orchestrator to avoid expensive duplicate runs. ## Detection Cases Check in this order: a. If `{plan}/{phase}/validation.json` exists: -> Phase is complete. Report results from `{plan}/{phase}/report.md` (or `report.html`) and skip. b. If `{plan}/{phase}/validation_tasks.json` exists AND `validation_batch_*.json` files exist: -> Validation ran partially or fully. Check if all batches complete. If all complete: run `--reaggregate` to finalize. If partial: re-run only missing validation batches, then reaggregate. c. If `{plan}/{phase}/validation_tasks.json` exists but NO `validation_batch_*.json`: -> Orchestrator completed but validation was interrupted. Skip to Validation Handling. d. If per-model `*.json` files exist in `{plan}/{phase}/` but no `grouped.json`: -> The fan-out stopped before grouping. Compare the files with `models_requested` in `{plan}/{phase}/.status.json`. If every requested model has its file: run `--reaggregate`. If some have none: run the orchestrator again with the same models. It keeps each file (`[SKIP]`) and runs only the missing ones; a `--reaggregate` would report without them. On review-code add `--force`, which a dir holding results needs (exit 3 otherwise); a composite's flags line already carries it. Never `--rerun-all`. Left out, `--scope-policy` stays the one the kept files were requested under (one `Scope policy notice:` line says so); a different one typed stops at exit 3 with `[SCOPE_POLICY_CONFLICT]`. e. If none of the above: proceed to run the orchestrator. f. If `.status.json` exists with `state: "validation_pending"`: equivalent to case (c) — skip to Validation Handling. ## Orchestrator Guards The orchestrator has its own re-run protection as defense-in-depth: - **Primary**: Exits with code 2 if phase is already marked complete in state.json. Use `--force` to override. - **Secondary** (code-review only): Exits with code 3 if partial completion artifacts exist without the phase being complete. This instruction-level resume detection is the FIRST line of defense; the orchestrator guards are backup protection. ``` ## File: skills/multi-llm/references/salvage-handling.md size: 12788 sha: db096e8f5c5dda72936f6c656844582b26326b9a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/references/salvage-handling.md ```text # Salvage Handling When a model's review output cannot be parsed as JSON, the orchestrator writes a salvage *request* (`salvage_{model}.json`) and, beside it, a **materialized salvage task** (`salvage_task_{model}.json`) — printing `[SALVAGE_NEEDED] {request_path}` and `[SALVAGE_TASK] {task_path}`. **For each task in the task file, run `task.prompt` as a subagent, then write the JSON it returns to `task.output_path`.** That is the whole contract; the prompt is assembled in Python (`utils/subagent_prompts.build_salvage_prompt`) and carries the request's `raw_output`, `expected_type` and `expected_schema` inline, so a runner with no workspace access can serve it. **Run the pair this run advertised, and leave the retired ones where they lie.** A phase dir is stable per plan and `--force` clears the state file's completion marker without deleting a byte from it, so a salvage pair outlives the attempt that produced it. Every *fresh* attempt for a model therefore retires that model's pair before the provider is invoked — both files, renamed to `retired_salvage_{model}.superseded.{stamp}.json` and `retired_salvage_task_{model}.superseded.{stamp}.json` (`utils/review_orchestrator_base.retire_salvage_artifacts`, called from `code_review_orchestrator.run_single_review` and from `run_all_models`'s `per_model`). It is a rename and never a delete, because the request holds the raw output the model actually produced and that is the evidence an operator needs to tell a truncated answer from a dead account; and it is quiet, so what tells you it happened is the phase dir, not a marker. Three rules follow: - **Run the task files this run printed `[SALVAGE_TASK]` for.** If you find them by listing the directory instead, match `salvage_task_*.json` and take the prefix literally — a `retired_salvage_task_…` file is a previous attempt's, and its `output_path` is a result file this run has already written. - **Never rename a retired file back, re-materialize a task from one, or write a document recovered from one to its `output_path`.** Do not delete one either: it is the evidence, and it is nobody's outstanding work. - **A request you found by listing is only yours if this run ran that model.** Check the request's `model` field against the models this run actually dispatched. A model *skipped as already complete* on a resumed run begins no attempt, so it keeps its pair and that pair is genuinely outstanding. A model *dropped from the selection* between runs also begins no attempt, so nothing retires its pair either — it is stale in exactly the way its `{model}.json` is stale, and running it would write last run's answer over this run's file. Neither of the two rules below can catch that one: they judge the reply in front of them, and a superseded request arrives from an attempt that already ended — the phantom participant walking in through the one door the gate cannot watch. **`raw_output` is the text the salvage gate judged, and it is bounded.** It is chosen by one rule, `utils/review_orchestrator_base.salvage_source`, on all three losing paths — a non-zero exit, a timeout kill, and a zero exit whose output would not parse — because a provider can write a truncated array and *then* die: - **When the adapter reduces its stream, `raw_output` is `salvage_text`**: the assistant's answer text and nothing else (for an event-stream CLI, the text of its last assistant message — never its tool calls, its reasoning, or the event framing around them). The adapter reads its whole stdout to produce it, and the harness then redacts it and bounds it **from the answer's opening bracket**: text that fits the 45 KB cap is kept whole, and longer text is windowed forward from the `[` or `{` the answer opened, so a cut falls at the end, never at the start. An empty `salvage_text` is the adapter's verdict that there is no answer text at all, and then no salvage is requested — stderr is never consulted in its place, because a stream CLI's stderr holds only diagnostics. - **Only when no reducer applies is it still the raw excerpt**: `details["stdout_excerpt"]` ahead of `details["stderr"]`, the last 20 lines of the stream, each line cut at 64 KB and the whole at 45 KB. Two consequences when you read a request: - **Judge the answer text, not the transport stream.** A document is not more likely to be the model's answer because of the channel it arrived on — stdout is precisely where a CLI's own error event appears — so both rules below apply to it unchanged. And when `raw_output` still holds an event stream, only the assistant's own text parts can hold the answer: an event's `content` array of `thinking`/`toolCall` parts, a tool call's arguments, or a tool's result is transport data, however array-shaped it looks. - **An elision in `raw_output` is the harness's, not the model's.** Every cut leaves its own marker in the text, and credential-shaped values are replaced with ``. So a document that stops mid-token may have been cut by the bound rather than by the provider, and a raw excerpt that starts mid-sentence may simply be missing its earlier lines. Recover what is present and no more: do not reconstruct a tail you cannot see, and never carry a `` marker into the result as though it were the model's own text. **One reply is not a result.** When the raw output holds nothing recoverable — an authentication error, a stack trace, an empty stream — the prompt tells the subagent to print `{"salvage_failed": true, "reason": "..."}` instead of a document. **Do not write that object to `task.output_path`, and do not write an empty array in its place.** That path is the model's *own* result file, so whatever lands there is read back as that model's review: an empty array would make a model that never produced a parseable word count as one that reviewed the input and found nothing — and finding priority is scored partly by how many models flagged something. Leave the file untouched, so the model stays failed, which is the true outcome; report the subagent's `reason` beside it. An empty array that the subagent really did recover from the raw output is a result like any other and is written normally — **unless the request records `"failure": "timeout"`**. A run killed at its deadline never said "I found nothing", so an empty array recovered from it is a non-result: write nothing, leave the model failed, and report that the run timed out before it wrote an answer. A timed-out run's recovered findings are still written as usual. **Not every non-result announces itself.** A stream that was cut off mid-answer often still carries a relayed provider error — `{"error": {"code": 401, "message": "User not found"}}`, or the `{"type": "error", "message": "..."}` record an `opencode`/`codex` run prints as an event — and a subagent can recover that object perfectly faithfully, report success, and never print the sentinel, because as far as it can tell it found something. It is still not this model's review. So before writing: if what came back is neither an array, nor an object wrapping one, nor an object carrying the answer's own fields (`title`, `desc`, `importance`, …), treat it exactly as `salvage_failed` — write nothing, leave the model failed, and report that the raw output held a provider error rather than a document, which points at the provider's login instead of at a JSON repair. The same holds for a reply recovered out of an event stream's transport data. An array a subagent lifted from an event's `content` field — `thinking` and `toolCall` parts, a tool call's arguments, a tool's output — passes the shape test, because it *is* an array, but it is not findings the model wrote. It is a non-result, like a relayed provider error: write nothing, leave the model failed, and report it as `salvage_failed`, naming it as transport data. **On this lane both checks are yours, and the second one is the write itself.** Nothing stands between the subagent's reply and `task.output_path` except you: under `--exec-subagents` that position is held by `utils/subagent_executor._salvage_gave_up`, and here there is no such reader. So apply them in the prompt's own order — the sentinel first, because a subagent that read the raw output and named what was in it gives a better diagnostic than anything the shape test can reconstruct from the reply alone; then the shape test. Decide **before** you back up, not after: a `{filename}-BEFORE-SALVAGE-{timestamp}.json` sitting beside an unchanged result file records a salvage that never happened. A near-miss is not a non-result — a single record where an array was asked for names the answer's own fields, so it passes the shape test and is a mis-packaged recovery to repackage, not a provider error to report. `--exec-subagents` applies both rules on its own lane: the task is recorded in `subagent_batch_report.json` as `salvage_unrecoverable`, carrying that `reason`, with nothing written and no retry. The second rule is one shared predicate, `json_extractor.is_answer_shaped` — the same one that decides whether a salvage is worth dispatching at all, asked again of what came back. What it buys *there* is the diagnostic rather than the write: the salvage result shape (`subagent_executor._salvage_result_errors`) already refuses a top-level object for not being an array, so an error envelope never reached disk on that lane — it was reported as `schema_invalid`, "expected a JSON array of suggestions, got dict", which reads as a botched repair pass and invites another one when the fix is the provider's login. On *this* lane the same rule stops the write, because an invoker following the paragraph above it would faithfully persist the envelope. Same predicate, two different failures prevented. **A salvage that recovered nothing is finished, and re-running it is the loop to avoid.** The same raw output through the same prompt has the same answer, which is why `salvage_unrecoverable` sits in none of the executor's retry sets. Under `--exec-subagents` the run closes the case for you: the pair is retired as `retired_salvage_{model}.unrecoverable.{stamp}.json`, and `[SALVAGE_UNRECOVERABLE] {model}: {reason}` prints on stdout in the place the `[SALVAGE_NEEDED]` marker would have held — so there is no `SALVAGE NEEDED` block, no `[REAGGREGATE_AFTER_SALVAGE]` line and nothing recorded as the run's next command, because the artifacts those blocks look for are gone, not because a second reporting site re-derived the verdict. Only the terminal verdict is retired this way; every other salvage failure has a retry rung, stays on disk, and goes on being advertised precisely so it can be re-run. **Without `--exec-subagents` none of that fires, and the flow above is unchanged byte for byte** — this is your lane and it keeps working exactly as documented: the two markers print, you run each task, you write what is recoverable, you run the reaggregation the run prints. What is yours by hand is the ending. When a salvage recovered nothing, write nothing, report the `reason` (or your own finding from the shape test), and do **not** dispatch that request again. Then finish the run anyway: reaggregation is still mandatory, because the models that *did* parse depend on it, and the unrecovered model simply stays failed in the result. That request is still listed under `SALVAGE NEEDED` in the run output you are working from — the block was printed by the fan-out, before anyone knew what the salvage would find, so answering it does not remove it. Treating a request you have already answered as work still outstanding is what turns a dead provider account into an endless salvage-and-reaggregate loop. Two steps that used to live in this prompt are the invoker's, not the subagent's: 1. **Back up before overwriting.** Immediately before writing `task.output_path`, run `utils/backup.py` on it; an existing file is copied to `{filename}-BEFORE-SALVAGE-{timestamp}.json`. 2. **Delete the salvage request** after reaggregation, not after extraction — the request is what the task's `inputs.salvage_request_sha256` binds to. Delete only the request you actually consumed: a `retired_salvage_…` file is not yours to remove, and deleting one destroys the raw output that says why that model failed. After ALL salvage tasks complete, run reaggregation. The orchestrator prints a `[REAGGREGATE_AFTER_SALVAGE]` marker with the exact command — copy and run it. This is mandatory: reaggregation regenerates grouped.json, validation.json and the report files to include the salvaged data. Do NOT report results to the user until reaggregation is complete. ``` ## File: skills/multi-llm/references/summary-format.md size: 9834 sha: 1311cba4ec282a81dfa65b5da9fe3bf906e51e09 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/references/summary-format.md ````text # Standard Summary Format The shape of the report a mode ends with. It moved out of the Claude Code shim in the D5c cutover: what a run reports is *workflow* prose, identical on every host, so it belongs in the core rather than in one host's entry file. After any mode completes, report: ``` ## [Mode] Complete **Plan**: /path/to/plan.md ### Results - [Mode-specific statistics] ### Output Files - [Every generated file, with its full path] ### State - State file: [path, if the mode has one] ### Next Steps - Start the next phase in a fresh context (recommended, for best performance) — use whatever context-reset command your host provides, and omit this line if it has none - [The next step, copied from `user_next_step` as the next-step rule below says: its `command` alone in a fenced block, then any optional commands under "Optional, before that:" — or "Workflow complete." and any manual tasks still owed — or nothing] ``` Every mode ends with this report. Four rules, and a fifth for `ask`: - **Paths come from the run, never from memory.** Take them from the orchestrator's own output — the `[OUTPUT_FILE]` lines, the paths a phase printed, and `MULTI_LLM_RESULT`'s `artifacts` array. Do not reconstruct a path from a pattern. - **Report the one follow-up the run owes, verbatim — and tell `next` from `user_next_step`.** They are two different things. `MULTI_LLM_RESULT.next`, when it is not `null`, *continues this phase*: the phase has not finished (a `--reaggregate` or a `status` poll is still owed), so copy it exactly, and report nothing as a next step that the run did not name. Copy it character for character, never re-typed: its plan path as printed, no flag added or dropped (not a `--plan-file` spelling, not without the `--quick --yes` it carries), and read a foreground call's output whole (only a detached launch redirects its output, into the phase dir's `orchestrator-run.log`): a pipe, even through `tail`, hands you the pipe's exit code instead of the dispatcher's and drops the marker lines above the `MULTI_LLM_RESULT` line you must read. `user_next_step` *starts the next phase*: it is the user's to type, never yours to run, and it ends the report as the next rule says. - **End the report with the next phase's command — copied, never composed.** Python builds it as `user_next_step`; your part is to fetch it and copy it. - *Where it comes from.* While the last result's `next` is not `null`, the phase is unfinished: report that follow-up under the rule above and look nothing up. A phase whose run exited `1` or `3` failed and has no next step either: report the failure, and look nothing up. Otherwise take `user_next_step` from the last result (its `MULTI_LLM_RESULT` line, or the tool result that relays it) when that result carries the key. When it does not, the host decides: - *On Codex and OpenCode* (file shim and tool alike), the key arrives in the phase's own result, so a result without it means there is no next step — the phase stopped short (at a `[…_PENDING]` marker, say), or the run is not one that names a next phase. Look nothing up, and write nothing under `### Next Steps`. `--after` does not check that the phase finished, so a lookup here could name the successor of a phase that never did. - *On Claude Code* only, the phase's last call is often a `util` step that cannot know the phase, so the report's first step is one read-only lookup, run after every command the core told you to run — the phase's own completion write included, because run earlier it answers from a phase not yet recorded: the dispatcher's `util next-command "" --after `, behind the same `uv run … multi_llm.py` prefix as every command in the core, with the plan path as the user typed it. Run it even when a `[NEXT_COMMAND]` line is already on screen: a `--reaggregate` (or any other `next`) run can name the plan by its absolute path, and the command is printed with the path the user typed. Its `MULTI_LLM_RESULT` line carries `user_next_step`, and the `[NEXT_COMMAND]` lines above it hold the same strings. - *When a lookup answers nothing.* A lookup whose output has no `[NEXT_COMMAND]` or `[WORKFLOW_COMPLETE]` line, and whose result line has no `user_next_step`, found no next command: that is its whole answer. Write nothing under `### Next Steps` for it, and do not fill the gap: not with a status view's `suggested next:` (a phase name, not a command), not with a default, and never with a command assembled from the plan path. (2026-10-02: a Claude Code `--status` ran the lookup, got nothing, and the report invented a command from the plan path.) `ask`, `init` and `status` are not workflow phases: on every host they run no lookup and end with no command. - *What to write under `### Next Steps`.* `user_next_step.markdown`, copied as it is (on Claude Code the lookup prints it between `[NEXT_STEP_MARKDOWN]` and `[NEXT_STEP_MARKDOWN_END]`): it is this section already written, as the rest of this rule describes it. Copy it word for word, never wrapped in a fenced block of your own (its commands are fenced already), and say none of it twice: its whys, notes, manual tasks and "Workflow complete." appear only in it, never above it. A notice you report goes above it and repeats none of it. Without it, `user_next_step.command` alone in a fenced block, copied character for character, and never "Workflow complete." beside it, however much of the work is done: while there is a command, the workflow goes on (its `why`, the `[NEXT_COMMAND_WHY]` line, goes above it as plain text). Any `optional_before` entries follow it, never precede it: the line "Optional, before that:", then each entry in the order the key lists them — its `why` as plain text outside the fence, then its `command` alone in its own fenced block. When the lookup also printed `[NEXT_COMMAND_ANSWERS_WHY]` / `[NEXT_COMMAND_ANSWERS]` pairs (`user_next_step.answers`: a stopped implement's `--human-task` answers, the one command carrying every answer first when more than one task waits, then each answer alone), write every pair, in the order printed, last: its why as plain text, then its command alone in its own fenced block. A stopped implement's lookup can also print a `[TESTS_NOT_RUN]` line above them, saying what ran the repository's tests: give the text after its tag verbatim in the report, above `### Next Steps`; it is never a command. When `complete` is `true` (its `command` is then `null`), write "Workflow complete." instead, and when it carries `manual_tasks`, list each one under it, its `id` and `title`, as the user's to do: implement deferred them to the user, and one with `waits_on` is a task skipped with that manual task, which implement runs once that one is recorded done (the `[MANUAL_TASK]` lines below `[WORKFLOW_COMPLETE]` are the same tasks, and such a line says what it waits on), then its `manual_tasks_note` (the `[MANUAL_TASK_NOTE]` line) verbatim as plain text and its `manual_tasks_command` (the `[MANUAL_TASK_COMMAND]` line) alone in its own fenced block: they say how to record them done. A `user_next_step` that names a `command` can carry `manual_tasks` and `manual_tasks_note` too, while the run's manual tasks are still owed (on Claude Code the same lines follow the `[NEXT_COMMAND]` block): list them after the commands the same way, with the note and its command, but never write "Workflow complete." for it. When there is no `user_next_step` at all, write neither a command nor "Workflow complete.": an absent key is not a completion. - *A failed lookup prints no command.* When `util next-command` exits non-zero, write no fenced command and no "Workflow complete.": write one line under `### Next Steps` saying the next-step lookup failed, quoting the stderr line it printed. - Never build, shorten, recall or rephrase a command yourself — not from a phase name, a mode flag, a usage line or an earlier report. A paraphrased command is the failure this rule exists to remove. - **Name every model that produced nothing, with its reason.** A review phase's `report.md` lists them on its `**Models failed:** N of M requested — …` line, directly under `**Models:**`, on the fan-out and after `--reaggregate` alike; a `--reaggregate` also prints one `[MODEL_FAILED] : ` line per requested model that still has no result. When `MULTI_LLM_RESULT.state` is `"partial"`, the same models and reasons are the `failed` rows of `progress.models` (a `status` poll carries them). List each one under Results with its reason; never report the run as if only the models that answered had been requested. **In `ask` mode** they are the `## Failed Models` section of `answers.md`. A failed model whose run left some text has it kept in a `partial_.md` that its line names; say so, since a partial is not counted and a resume re-asks the model. You may offer `--accept-partial ` for a partial the user has read and judged whole — never run it unasked. - **In `ask` mode, say how the answers were obtained.** Report the run's `answered: …` counts line verbatim, and the `[WARN]` it prints when every model asked to write an answer file answered on stdout instead. A host that reads only the result line takes both from `MULTI_LLM_RESULT.answer_origins` (its integers are the counts line's; `warn_all_fallback` is the warning). ```` ## File: skills/multi-llm/references/uv-check.md size: 5791 sha: 4274922c4fc131701faaaa6406ee324a92d067ab upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/references/uv-check.md ````text # uv Preflight (D6 row 1) **Audience: maintainers.** No agent opens this file at run time — every shim carries its own inlined copy of the step below. This document is the one written contract that copy, `install-host --check`'s row-3 shape lint and the shim tests are authored against, so an edit here is an edit to what every shim has to say. Every orchestrator and helper in this skill runs through `uv run`, so when `uv` is genuinely absent the shell fails with `uv: command not found` (exit 127) *before* any Python that could explain it runs. Row 1 therefore cannot own its own detection, and ownership is split across three layers with three different lifetimes: | Layer | When | Owner | |---|---|---| | 1 | install time | `multi_llm.py install-host --check` resolves `uv` and reports a miss as a prerequisite failure | | 2 | invocation time | **the shim's uv step, placed before its first `uv run`** — the inlined copy of the procedure below, and the only part of this that cannot be Python | | 3 | run time | the Python backstop, `utils/unattended.require_uv()` — uv removed after install, a host invoking `multi_llm.py` directly, or a shim edited by hand | **The message text lives in exactly one place: `hosts/uv-missing.txt`.** The shim interpolates it, `install-host --check` prints it and the Python backstop reads it, so no two layers can disagree about how to install uv. Never paraphrase it here or in a shim. ## The probe (layer 2 — run this once, before the first `uv run`) Run detection as a **single standalone command** — do NOT chain it with `||`, `&&`, `;`, or a pipe. The permission allowlist contains the exact-match rule `Bash(command -v uv)`, and exact-match rules only apply when the command is run exactly as written; chaining anything onto it triggers a permission prompt. ```bash command -v uv ``` - **Exit 0 (path printed)** → `uv` is available. Proceed; nothing to report. - **Non-zero exit** → check the install locations a fresh shell may not have on `PATH` yet (quoted `"$HOME"`, never a quoted tilde — `"~"` does not expand; the `.exe` variants are what the Windows installer creates under Git Bash): ```bash ls "$HOME/.local/bin/uv" "$HOME/.local/bin/uv.exe" "$HOME/.cargo/bin/uv" "$HOME/.cargo/bin/uv.exe" /opt/homebrew/bin/uv /usr/local/bin/uv /opt/local/bin/uv 2>/dev/null ``` **Read the result from stdout, NOT from the exit status.** This single `ls` exits non-zero whenever *any* candidate is absent — the normal case even when uv IS installed (at most one of the seven paths exists on a given machine). Any path printed on stdout means **FOUND**; only empty stdout means uv is absent. The same seven candidates, in the same order, are what `utils/unattended.find_uv()` probes (after `$MULTI_LLM_UV` and `PATH`), so the shim and the backstop agree by construction. If a candidate is printed, verify it is executable (`test -x "$FOUND"`, or run `"$FOUND" --version`). If one exists, **do not reinstall**. Note that launching uv by absolute path is NOT covered by the `Bash(uv:*)` allow rule, so every subsequent command raises a permission prompt: the primary remedy is to get `uv` onto `PATH` (add the directory, or simply restart the shell / the host — installers update the profile), then re-run the standalone `command -v uv`. ## When uv is truly absent **Print `hosts/uv-missing.txt` verbatim and stop with exit 3.** Nothing else: - **Never install it.** Installing software is not a decision this skill makes on a user's behalf, and unattended there is nobody to consent. The message names the official installer and the package-manager alternatives; running one of them is the user's step. - **Never render a question.** There is no "offer to install" prompt any more: on a headless host nothing would answer it, and D6 forbids a question as a fallback. "Install uv, re-run" is the whole recovery. - **Never fall back to bare `python`.** The skill's dependencies are pinned in `uv.lock` and resolved by `uv run` from `pyproject.toml`; a bare interpreter runs against whatever happens to be importable, turning a clear "install uv" into a `ModuleNotFoundError` or a silently wrong dependency version mid-fan-out. - **Exit 3, not 127**, where the host reports the shim's own status, so "needs a human" reads the same as every other gate. No `MULTI_LLM_RESULT` line is printed, because no dispatcher ran. ## Supported shells (fail fast otherwise) This check — and every other command in this skill — is POSIX-shell syntax and runs under the host's shell tool (Git Bash on Windows, the native shell on macOS/Linux). If the shell environment is **not** a POSIX shell (e.g. a host fell back to its PowerShell tool because Git for Windows is not installed), **stop immediately** and tell the user: > Windows support requires Git for Windows (Git Bash); PowerShell-only > environments are not supported — install it from > https://git-scm.com/download/win and restart the host. Do NOT attempt PowerShell equivalents of any command in this skill — there is no PowerShell instruction path. (The Windows uv installer named in `hosts/uv-missing.txt` is itself PowerShell; that is an install command the user runs, not an execution path.) ## After installing Re-run the probe: first the standalone `command -v uv`, then the seven-candidate `ls` — the current shell's `PATH` usually does not pick up a fresh install. On Windows the re-detection must include the `.exe` variants. If the binary exists but only by absolute path, prefer restarting the shell (or the host) so `uv` resolves on `PATH`. If detection still fails, stop with exit 3 and print `hosts/uv-missing.txt` again; never proceed to a `uv run` command while `uv` cannot be resolved. ```` ## File: skills/multi-llm/references/wave-batching.md size: 5328 sha: 2acf436a193ff3fffc70c35e54ede51dc3af160b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/references/wave-batching.md ```text # Wave-Based Parallel Spawning When there are more than 4 batches, spawn them in waves to control context growth. ## Strategy Selection - **≤ 4 batches (Strategy A)**: **Spawn subagents** for every batch at once, in one parallel group. - **> 4 batches (Strategy B)**: Use wave-based spawning (below). ## Wave-Based Spawning (Strategy B) 1. Split batches into waves of up to 4 batches each, except the last wave may include up to 6 batches (absorbing any small remainder to avoid an unnecessary extra round — e.g., 5 batches = one wave of 5, 9 batches = wave of 4 + wave of 5, 8 batches = two waves of 4) 2. For each wave: - **Spawn subagents** for every batch in the wave at once, in one parallel group - Run each batch's task exactly as the calling instruction's contract says (the sidecar at `prompt_path`, or `task.prompt`), writing the reply to its `output_path` - A validation batch whose context was too big to inline is `context_mode: workspace-read`: its prompt holds an excerpt and names a snapshot of the full plan (and, for review-tasks, of the task list) by path. Run it where the subagent can read that path, and never treat the excerpt as the whole document - Wait for all agents in the wave to complete - **Confirm every batch in the wave wrote its `output_path`** — the file is there and is not empty — before moving on. A missing file is not a batch that failed; it is a batch whose reply never reached you, and nothing else will write it 3. Proceed to the next wave 4. After ALL waves complete, and only once every task's `output_path` is on disk, continue to the next step (reaggregation, etc.) ## Error Handling - Per-subagent timeout: 60 seconds. If a subagent times out, mark that batch as `validation_failed`. - If a subagent returns malformed output or fails validation, retry it once (max 1 retry per batch). `util check-reply` is the test of "malformed" — run it after writing each reply, never on a batch whose subagent has not returned (its `[REPLY_MISSING]` is a reply not written yet, not a malformed one) — and the retry is a fresh reply from the subagent, never a repair of the bad one. If still failing, mark it as `validation_failed` and move on. - A missing `output_path` spends that same one retry: re-dispatch the batch and write the reply yourself. Only a batch that comes back empty-handed a second time is `validation_failed`. A batch you never re-dispatched is not a failed batch and must not be reported as one — it is a batch the run dropped, and the merge cannot tell the two apart. - If any batch in a wave fails (after retry), log the failed batch index and continue to the next wave -- do NOT abort the workflow. - After ALL waves complete, report which batches failed (e.g., "Completed {success}/{total} batches. Failed: batch {indices}."). - Proceed to the next step regardless of partial failures -- `merge_batched_validation_results` already handles missing batch files gracefully, so partial results are merged automatically. That grace is for batches the verification above has already re-dispatched and given up on: it means the merge does not crash on a missing file, never that the batch's findings survive it. ## Important Notes - Do NOT run these batches detached. Spawn them as ordinary parallel subagents so their results return inline. - **Do not end your turn while a dispatched batch is outstanding.** Stay in the turn until the last `output_path` above is on disk. A reply that arrives after the turn ends arrives after a one-shot headless run has ended, and the batch dies with it — unwritten, unreported, and indistinguishable afterwards from a batch that was never dispatched. Saying what you are waiting for is not waiting for it. - Context growth per wave is approximately 30-50 lines (4 subagent spawns with their parameters plus responses), so for 5 waves (~20 batches) expect ~150-250 lines of context growth — still manageable within typical context budgets. ## ETA Reporting When the calling instruction file wraps the wave loop with `util metrics start ... finish`, each per-batch `util metrics record --batch-index {N} --total-batches {total}` prints an `[ETA]` line to stderr. In wave-parallel runs, summing per-subagent durations would overstate wall-clock time by a factor of ~wave-width, so the ETA helper reports both signals (`per-item` and `wall-clock`) and the predicted-remaining segment uses `min(per_item, wall_clock)` — wall-clock dominates here. Pass the **cumulative** `--batch-index` (1..N across all completed waves), not the within-wave index. ## Design Rationale **Why wave size 4 (with flexible last wave)?** The base wave size of 4 balances parallelism against context growth and typical API concurrency limits. The last wave absorbs remaining batches (up to 6 total) to avoid unnecessary serialization at the boundary — the extra context from 1-2 additional parallel subagents is negligible compared to the cost of an entire extra sequential round. **Trade-off: wave-level synchronization.** Wave-based spawning waits for all subagents in a wave to complete before starting the next wave. If one subagent is slow, the other completed results sit idle until the wave finishes. This is simpler and more predictable than the coordinator approach, but does sacrifice some throughput. ``` ## File: skills/multi-llm/assets/icons/Anthropic.svg size: 584 sha: fb2a512944afa71885262868f6c2cabfb316d771 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Anthropic.svg ```text ``` ## File: skills/multi-llm/assets/icons/Codex.svg size: 1360 sha: bae0b51e845bfe6367f99df592c546e36ac34fb4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Codex.svg ```text Codex ``` ## File: skills/multi-llm/assets/icons/Copilot.svg size: 1546 sha: 192015fd116da7ff70d10a844847ee1c2e2bd998 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Copilot.svg ```text ``` ## File: skills/multi-llm/assets/icons/Cursor.svg size: 793 sha: 635d3ccdc6d9c699fa54e5114894f225a1c0635a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Cursor.svg ```text ``` ## File: skills/multi-llm/assets/icons/GoogleGemini.svg size: 623 sha: 97ef1c3e10776fdb1ed997c61e0d3042aa4ee2fd upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/GoogleGemini.svg ```text ``` ## File: skills/multi-llm/assets/icons/Goose.svg size: 3318 sha: ab3535d53654b1b5eb91d64ba20ea467df08bb46 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Goose.svg ```text ``` ## File: skills/multi-llm/assets/icons/Kilocode.svg size: 531 sha: 0cd56876e7bd74e5e8e4e92d241a27a88e1571ef upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Kilocode.svg ```text ``` ## File: skills/multi-llm/assets/icons/MiniMax.png size: 1525 sha: 1cd16498689da081e640134cd72a41a727ff496e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/MiniMax.png Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/MiniMax.png ## File: skills/multi-llm/assets/icons/Mistral.svg size: 717 sha: 3b9abf6a7d346cf92dda07f5ad3cf6e2b55ca613 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Mistral.svg ```text ``` ## File: skills/multi-llm/assets/icons/MoonshotAI.svg size: 957 sha: db43fce6e53ee68cd1400dc200ce1c101eb7b942 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/MoonshotAI.svg ```text ``` ## File: skills/multi-llm/assets/icons/Nvidia.svg size: 2468 sha: a6e8b188b0b2ae2bf29cea4ec988bddd902b8976 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Nvidia.svg ```text ``` ## File: skills/multi-llm/assets/icons/OhMyPi.svg size: 434 sha: 553490c5e92b9c44f39b5d7b94fb3df1c58c2c1f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/OhMyPi.svg ```text ``` ## File: skills/multi-llm/assets/icons/OpenAI.svg size: 1692 sha: 401b8f7ce6300a4c8521b2d29b10786ca9cfd4df upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/OpenAI.svg ```text ``` ## File: skills/multi-llm/assets/icons/Opencode.svg size: 325 sha: 542a9188c3fee77ec55e2a49f0deaa99fceaa856 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Opencode.svg ```text ``` ## File: skills/multi-llm/assets/icons/Pi.svg size: 440 sha: c28d6242332dcb8dce3802cbc8cc8334ec69e245 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Pi.svg ```text ``` ## File: skills/multi-llm/assets/icons/Qwen.svg size: 1790 sha: a4bb382a6359b82c581fd3e7fb7169fe8fba1657 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Qwen.svg ```text Qwen ``` ## File: skills/multi-llm/assets/icons/xAI.svg size: 343 sha: 27f1e812e8e46d1ce7f2f663809e506f1758b2c3 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/xAI.svg ```text ``` ## File: skills/multi-llm/assets/icons/Zhipu.png size: 442 sha: 73aa0ea155008b30f7fed196f92e5e7ec468c471 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Zhipu.png Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/icons/Zhipu.png ## File: skills/multi-llm/assets/omp/overlay.yml size: 2429 sha: 5d4861291d74f64f213b4f0b18e9d31d012fc5af upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/omp/overlay.yml Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/assets/omp/overlay.yml ## File: skills/multi-llm/AGENTS.md size: 12529 sha: 09ef84e5c47f1ea5416296b44bf0191ee8a615f0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/AGENTS.md Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/AGENTS.md ## File: skills/multi-llm/apply_code_fixes_orchestrator.py size: 59929 sha: 00d467d396647bbdd80dedb85bc5d0816fffb927 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/apply_code_fixes_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/apply_code_fixes_orchestrator.py ## File: skills/multi-llm/apply_commit_fixes_orchestrator.py size: 2027 sha: bb43069f16c823004f5b0e27ad5dcdf94819d4c9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/apply_commit_fixes_orchestrator.py ```text #!/usr/bin/env python3 """``--apply-commit-fixes``: apply a commit review's validated fixes as uncommitted edits. A thin entry point, as ``improve_code_orchestrator.py`` is. It owns the module-level ``parse_args`` the ``--help`` scan reads and the ``main(argv)`` the dispatcher calls, one module per mode because ``modes.SCRIPT_TO_MODE`` keys each mode by its script. Everything it does lives in ``utils/commit_review.py``, the front-door core the three commit modes and ``util commit-brief`` share (plans/review-commits.md §2.1), so the doors cannot drift apart. It resolves the range (or, with none, picks the review on record), prints the commit block, then runs apply-code-fixes on the commit brief in-process, re-recorded as ``apply-code-fixes``. ``utils.commit_review`` is imported inside each function rather than at module scope: importing this module stays side-effect free and cheap, as every dispatch target's must (``tests/test_instruction_portability.py``). Usage:: uv run --project -- python /multi_llm.py \\ apply-commit-fixes [] [--focus ""] [--context-plan ] \\ [--resume] [--fresh] [--yes] """ from __future__ import annotations import argparse import os import sys from pathlib import Path from typing import Optional, Sequence # Absolute, symlinks preserved — see utils/cli_common.py. sys.path.insert(0, str(Path(os.path.abspath(__file__)).parent)) from utils.stream_bootstrap import bootstrap_streams # noqa: E402 #: This module's mode word in ``modes.py``. MODE = "apply-commit-fixes" def parse_args(argv: Optional[Sequence[str]] = None) -> argparse.Namespace: from utils import commit_review return commit_review.parse_args(MODE, argv) def main(argv: Optional[Sequence[str]] = None) -> int: bootstrap_streams() from utils import commit_review return commit_review.front_door( MODE, list(sys.argv[1:] if argv is None else argv) ) if __name__ == "__main__": sys.exit(main(sys.argv[1:])) ``` ## File: skills/multi-llm/apply_suggestions_orchestrator.py size: 15042 sha: d94cb1dfdc7526b6abf8e1c5f1849aae2fc6c8c2 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/apply_suggestions_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/apply_suggestions_orchestrator.py ## File: skills/multi-llm/apply_task_suggestions_orchestrator.py size: 29702 sha: 3dd63cb992c71388eb5a24521856f338469240fd upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/apply_task_suggestions_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/apply_task_suggestions_orchestrator.py ## File: skills/multi-llm/ask_orchestrator.py size: 119166 sha: 75eb2ab8facb0f7752a28f97f77e98acf0563ccf upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/ask_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/ask_orchestrator.py ## File: skills/multi-llm/check_workflow_prerequisites.py size: 77149 sha: 3d14eb1a4e3b645704314431f00d025a854402d6 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/check_workflow_prerequisites.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/check_workflow_prerequisites.py ## File: skills/multi-llm/CLAUDE.md size: 10 sha: eef4bd20cf972fc2f3c7405fdae3fdcff80e59d4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/CLAUDE.md ```text @AGENTS.md ``` ## File: skills/multi-llm/code_review_orchestrator.py size: 340163 sha: 5065f5796d5e8e9db6436aad4d1f210f1b95bf3b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/code_review_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/code_review_orchestrator.py ## File: skills/multi-llm/display_decisions.py size: 10094 sha: 3fa4ea08bd3c878aceff4409269cfe5d403ee84c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/display_decisions.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/display_decisions.py ## File: skills/multi-llm/finalize_tracking.py size: 40585 sha: 8c8aacbea9d270bf72573867adc8a97db9ba3287 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/finalize_tracking.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/finalize_tracking.py ## File: skills/multi-llm/full_workflow_orchestrator.py size: 57227 sha: 5683b7fc82a3423839a6b71b5a9f041ef8b1acaa upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/full_workflow_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/full_workflow_orchestrator.py ## File: skills/multi-llm/generate_tasks_orchestrator.py size: 39308 sha: 5c1e04af1990ce474b3a4e7c705f91a3cc21a8d4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/generate_tasks_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/generate_tasks_orchestrator.py ## File: skills/multi-llm/hosts/capabilities.yaml size: 48864 sha: 78c690ccf6c44bee01bb9f23aa5b9a3a54bb37d9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/capabilities.yaml Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/capabilities.yaml ## File: skills/multi-llm/hosts/codex/plugin-skill.md.tmpl size: 2831 sha: 6f374d84568e24fe84fd424e753010ad2d62912c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/codex/plugin-skill.md.tmpl Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/codex/plugin-skill.md.tmpl ## File: skills/multi-llm/hosts/codex/shim.md.tmpl size: 6574 sha: 97239239fe939fb1aef58807d992c3df62db40c1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/codex/shim.md.tmpl Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/codex/shim.md.tmpl ## File: skills/multi-llm/hosts/opencode/plugin-command.md.tmpl size: 2278 sha: b17bc29a4ef0f4812b7a1e1666ae5142cbfd4212 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/opencode/plugin-command.md.tmpl Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/opencode/plugin-command.md.tmpl ## File: skills/multi-llm/hosts/opencode/shim.md.tmpl size: 6470 sha: e90a563f6eec689528dd4444788ad4f8e5bcc755 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/opencode/shim.md.tmpl Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/opencode/shim.md.tmpl ## File: skills/multi-llm/hosts/render_capabilities.py size: 49513 sha: 84dbcd347cabb6163331ba137bc5139fa3763b39 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/render_capabilities.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/render_capabilities.py ## File: skills/multi-llm/hosts/snippets/poll-loop.md size: 4527 sha: bbfe0eb4c3f62e109b3194bb33773a470cb30f30 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/snippets/poll-loop.md Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/snippets/poll-loop.md ## File: skills/multi-llm/hosts/snippets/uv-preflight.md size: 2300 sha: b269082e991fa81a0e78a23df0993dfbb51e2d4f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/snippets/uv-preflight.md Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/snippets/uv-preflight.md ## File: skills/multi-llm/hosts/uv-missing.txt size: 1485 sha: 71b11e353822bb64ed2342ea370000d92454fce3 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/uv-missing.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/hosts/uv-missing.txt ## File: skills/multi-llm/implement_orchestrator.py size: 152286 sha: d68936ad00139fea2ed2784ad2bf2059c809c7c8 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/implement_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/implement_orchestrator.py ## File: skills/multi-llm/improve_code_orchestrator.py size: 1513 sha: b1832748ed13a3cfe424eb5061f6432cf56efde3 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/improve_code_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/improve_code_orchestrator.py ## File: skills/multi-llm/improve_commits_orchestrator.py size: 2122 sha: a585b869d25fcc6b5deefc745f9182ca4dbd3f96 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/improve_commits_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/improve_commits_orchestrator.py ## File: skills/multi-llm/improve_plan_orchestrator.py size: 1456 sha: 75a550094a8c8a210067b1b4b6e698957ea5d2b6 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/improve_plan_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/improve_plan_orchestrator.py ## File: skills/multi-llm/init_config.py size: 58608 sha: 28253948777b45c3ae5b7571cccd45d418f57c9d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/init_config.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/init_config.py ## File: skills/multi-llm/instructions/apply-code-fixes.md size: 58108 sha: 7aabff486d7e95ae97b9124897c03117c1630b1b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/apply-code-fixes.md Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/apply-code-fixes.md ## File: skills/multi-llm/instructions/apply-commit-fixes.md size: 10561 sha: a832c1d370695f14f188da8723cc2797b4cbd0e4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/apply-commit-fixes.md Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/apply-commit-fixes.md ## File: skills/multi-llm/instructions/apply-suggestions.md size: 54745 sha: 51289512b37b1fe88bf6ca9d6b0012bf90222eb0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/apply-suggestions.md Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/apply-suggestions.md ## File: skills/multi-llm/instructions/apply-task-suggestions.md size: 53450 sha: 4a9c67637cfb115987d711b3d5c41e0bba0d7d23 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/apply-task-suggestions.md Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/apply-task-suggestions.md ## File: skills/multi-llm/instructions/ask.md size: 28310 sha: 44d42639fb71fd039269acdae34340835e909e56 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/ask.md Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/improve-plan.md ## File: skills/multi-llm/instructions/init-config.md size: 6705 sha: 24de553d2b300d4ff3cd32761734b5ba4a0a4449 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/init-config.md Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/init-config.md ## File: skills/multi-llm/instructions/review-code.md size: 45989 sha: daa550c137582b82a777cada929d8ee3daea2261 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/instructions/review-code.md Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/legacy/instructions/review-tasks.md ## File: skills/multi-llm/legacy/references/human-decision-batch.md size: 17523 sha: 58f53055542f836b3c9145cf922f68540061f0f0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/legacy/references/human-decision-batch.md Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/legacy/references/human-decision-batch.md ## File: skills/multi-llm/legacy/references/resume-detection.md size: 1547 sha: a4ffda0333987eff603d8e3bb804f985a5d0e5ba upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/legacy/references/resume-detection.md Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/host_capabilities.schema.json ## File: skills/multi-llm/schemas/human_decision_verdicts.schema.json size: 2623 sha: dce80326ba6859ad3d07f04c62effe49b81596cc upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/human_decision_verdicts.schema.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/human_decision_verdicts.schema.json ## File: skills/multi-llm/schemas/review_suggestions.schema.json size: 2477 sha: 0d3b3aa265e8c608d3f9b4a51c42ac957514e2e4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/review_suggestions.schema.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/review_suggestions.schema.json ## File: skills/multi-llm/schemas/state_file.schema.json size: 18494 sha: 1fcda81396a3a4468a301abc5c8eb36c4366166e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/state_file.schema.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/state_file.schema.json ## File: skills/multi-llm/schemas/subagent_tasks.schema.json size: 19555 sha: e3b4d75482fa1b38e0a05b7c38a3afa36f64ab68 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/subagent_tasks.schema.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/subagent_tasks.schema.json ## File: skills/multi-llm/schemas/task_decomposition.schema.json size: 1254 sha: 7f111b190065a08564566a6eb68794f406995a23 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/task_decomposition.schema.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/task_decomposition.schema.json ## File: skills/multi-llm/schemas/write_batch_result.schema.json size: 9002 sha: 3bf8dbb52ccd5ec39a4a26f042a3606187ab5bed upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/write_batch_result.schema.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/schemas/write_batch_result.schema.json ## File: skills/multi-llm/templates/config/providers.override.yaml size: 17575 sha: 0ad754a790183700fd4afccdc20b302a960ae46f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/templates/config/providers.override.yaml Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/templates/config/providers.override.yaml ## File: skills/multi-llm/templates/consolidated_report_template.html size: 69019 sha: ac289fc1b38602a23d919d2501744b95be58bad9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/templates/consolidated_report_template.html Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/templates/consolidated_report_template.html ## File: skills/multi-llm/templates/pr_report_template.html size: 209686 sha: cab89ee74dcae025a1067a20a0ec4608ee1e715c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/templates/pr_report_template.html Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/templates/pr_report_template.html ## File: skills/multi-llm/templates/report_template.html size: 96651 sha: 67710eeea452fafe6121775184d3969823a6703a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/templates/report_template.html Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/templates/report_template.html ## File: skills/multi-llm/tests/__init__.py size: 0 sha: e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/__init__.py ```text ``` ## File: skills/multi-llm/tests/conftest.py size: 42900 sha: 9fb99e0a3779117b638955fab7eb5381b22236d7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/conftest.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/conftest.py ## File: skills/multi-llm/tests/container/__init__.py size: 295 sha: e0498374d80a615776d0b38d90055dc66ba43e0a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/__init__.py ```text """Container-lane rig: assets, the host-side driver, and the in-container entrypoint. Nothing in here is skill runtime. The package exists so the container-marked test modules can import the shared Docker probe (:mod:`docker_probe`) rather than each growing its own copy of the skip logic. """ ``` ## File: skills/multi-llm/tests/container/aider-requirements.txt size: 196731 sha: 14264948b7538e671762c4b03c97fdbfdb87be1d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/aider-requirements.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/aider-requirements.txt ## File: skills/multi-llm/tests/container/cli-surface.yaml size: 29228 sha: c2100076cee83581ea6fe924515648a3a4660091 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/cli-surface.yaml Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/cli-surface.yaml ## File: skills/multi-llm/tests/container/cli-versions.lock size: 31244 sha: fc25371156447d3d1af84c4b69e05d85a574c5d1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/cli-versions.lock Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/cli-versions.lock ## File: skills/multi-llm/tests/container/context_manifest.txt size: 4663 sha: 5fff6d7012086cc9e91c9c0568b85eb1767ac033 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/context_manifest.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/context_manifest.txt ## File: skills/multi-llm/tests/container/creds.yaml size: 4368 sha: 57db843e8f073a4b266b53c6028f341c8e5303ac upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/creds.yaml Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/creds.yaml ## File: skills/multi-llm/tests/container/docker_probe.py size: 2878 sha: 0d487152b685de4cc2c7ea5cd7286bf4b00aa992 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/docker_probe.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/docker_probe.py ## File: skills/multi-llm/tests/container/Dockerfile size: 67768 sha: 85640e9ed1b27613a9325ca3e0b334e68a6ed416 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/Dockerfile Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/Dockerfile ## File: skills/multi-llm/tests/container/Dockerfile.codex-version size: 3119 sha: 25e4ed4b9e4963d2a2c754ee0c9dd04387f7fc57 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/Dockerfile.codex-version Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/Dockerfile.codex-version ## File: skills/multi-llm/tests/container/egress_resolver.py size: 10699 sha: 235523243d1cff15741d7013ab6751eec274d8b6 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/egress_resolver.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/egress_resolver.py ## File: skills/multi-llm/tests/container/entrypoint.py size: 339474 sha: d9ec64ea45deea5b5ea6c2cbf588b03204af0f60 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/entrypoint.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/entrypoint.py ## File: skills/multi-llm/tests/container/expected_argv.yaml size: 26650 sha: 77b8240ef3b95d018058b4a3aaf5a083daabe5ae upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/expected_argv.yaml Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/expected_argv.yaml ## File: skills/multi-llm/tests/container/failserver.py size: 17698 sha: 0d8c1831bc4986a4c96a3e040de0f29a44149734 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/failserver.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/failserver.py ## File: skills/multi-llm/tests/container/fx_smoke.py size: 5096 sha: 178ad583b1bf7cedf28f1058358dce6f39e960e9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/fx_smoke.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/fx_smoke.py ## File: skills/multi-llm/tests/container/harness.py size: 182584 sha: 0695284f454efb691218249d96ecac2c65554254 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/harness.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/harness.py ## File: skills/multi-llm/tests/container/home_seed/claude-code/.claude.json size: 176 sha: f31c4e34b8598dfae1688e3a00b97dba6af1e191 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/home_seed/claude-code/.claude.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/home_seed/claude-code/.claude.json ## File: skills/multi-llm/tests/container/home_seed/cline/.cline/data/settings/providers.json size: 371 sha: fcfe5b6ca51e95f8407a5f067355d589a7fe6603 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/home_seed/cline/.cline/data/settings/providers.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/home_seed/cline/.cline/data/settings/providers.json ## File: skills/multi-llm/tests/container/home_seed/codex/.codex/auth.json size: 89 sha: ba1337d8d279c02773d26b639de8bfbc26713f1f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/home_seed/codex/.codex/auth.json Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/home_seed/fx/.fx/settings.json ## File: skills/multi-llm/tests/container/home_seed/gemini/.gemini/settings.json size: 83 sha: 644e6b15ff93f63d72388ccc2cc347e4bce84dcf upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/home_seed/gemini/.gemini/settings.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/home_seed/gemini/.gemini/settings.json ## File: skills/multi-llm/tests/container/home_seed/kilocode/.config/kilo/kilo.jsonc size: 442 sha: dd19d754b88a57736a8f005195713f4604d2106b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/home_seed/kilocode/.config/kilo/kilo.jsonc Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/host_matrix.yaml ## File: skills/multi-llm/tests/container/host_spend.py size: 12983 sha: 46ea0118da8d64e5b6468c826221c1b6ee748ccb upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/host_spend.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/host_spend.py ## File: skills/multi-llm/tests/container/link_cli_bins.mjs size: 2915 sha: 13d299eb428d52e29fd937b668972bd65e5f157b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/link_cli_bins.mjs Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/link_cli_bins.mjs ## File: skills/multi-llm/tests/container/live_provider.py size: 49501 sha: 1a85fba902419cc7d35090197fd9f8bfbe473eca upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/live_provider.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/live_provider.py ## File: skills/multi-llm/tests/container/lock_update.py size: 45826 sha: 5d6edc379fdae0b25ec6efd6f0cce358f2b86d87 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/lock_update.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/lock_update.py ## File: skills/multi-llm/tests/container/next_command_check.py size: 28081 sha: 15b60b79ff590e44516c62db00e5a88762435679 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/next_command_check.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/next_command_check.py ## File: skills/multi-llm/tests/container/opencode_package_gate.py size: 51685 sha: fe3f2f0f70c5c10b807e3a4e3bf883dc080e6740 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/opencode_package_gate.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/opencode_package_gate.py ## File: skills/multi-llm/tests/container/opencode_package_gate_graders.py size: 43820 sha: cea097dcad863b5aa46550f246f17512224673be upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/opencode_package_gate_graders.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/opencode_package_gate_graders.py ## File: skills/multi-llm/tests/container/package-lock.json size: 268835 sha: b73d99da50d039507cd057fec25c2b6a7e8c00e8 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/package-lock.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/package-lock.json ## File: skills/multi-llm/tests/container/package.json size: 538 sha: 64b58f4ba5662b5ed889f4f3023724d7130ab32d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/package.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/package.json ## File: skills/multi-llm/tests/container/posture.yaml size: 7022 sha: 47c77379e5530ba9f031955d9a1e143764e9e076 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/posture.yaml Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/posture.yaml ## File: skills/multi-llm/tests/container/providers.tmpl.yaml size: 5587 sha: 8247d9f9609306dfe10aabd51bc3e4e6954c9b0f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/providers.tmpl.yaml Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/providers.tmpl.yaml ## File: skills/multi-llm/tests/container/records/20260923T233755Z-codex-release-network-check-rehearsal.json size: 15647 sha: fae05e5dcdd6320dd63abf4eac07bb3d1ea402d4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20260923T233755Z-codex-release-network-check-rehearsal.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20260923T233755Z-codex-release-network-check-rehearsal.json ## File: skills/multi-llm/tests/container/records/20261023T132656Z-codex-release-network-check.json size: 16121 sha: fdb60088daa2c70fba1ac670ed589587c9595763 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261023T132656Z-codex-release-network-check.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261023T132656Z-codex-release-network-check.json ## File: skills/multi-llm/tests/container/records/20261026T025255Z-opencode-release-gate.json size: 14596 sha: 8539047b8babd5d218443ba9f91252229b95000b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261026T025255Z-opencode-release-gate.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261026T025255Z-opencode-release-gate.json ## File: skills/multi-llm/tests/container/records/20261026T125425Z-opencode-release-gate.json size: 14596 sha: 32c8a81be3b0a252109750b03d52e271ba1b84ec upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261026T125425Z-opencode-release-gate.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261026T125425Z-opencode-release-gate.json ## File: skills/multi-llm/tests/container/records/20261026T175524Z-opencode-release-network-check.json size: 31222 sha: ec0458cda476d4f4cf937e35ba62c1d125f9bb9a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261026T175524Z-opencode-release-network-check.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261026T175524Z-opencode-release-network-check.json ## File: skills/multi-llm/tests/container/records/20261028T004534Z-opencode-release-gate.json size: 14596 sha: 62b7aef8f62a656393ac9893600277b801db75d5 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261028T004534Z-opencode-release-gate.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261028T004534Z-opencode-release-gate.json ## File: skills/multi-llm/tests/container/records/20261030T155243Z-opencode-release-gate.json size: 14596 sha: 8476f6df6564fdf7d536c51d42883e9a0977851c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261030T155243Z-opencode-release-gate.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261030T155243Z-opencode-release-gate.json ## File: skills/multi-llm/tests/container/records/20261030T181607Z-codex-release-network-check.json size: 16086 sha: 3b26704826eda74101eaa095152687ad6b842592 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261030T181607Z-codex-release-network-check.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261030T181607Z-codex-release-network-check.json ## File: skills/multi-llm/tests/container/records/20261030T214755Z-opencode-release-network-check.json size: 39457 sha: c06d58319c0fbd5b95365fef158d9259d7f2825e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261030T214755Z-opencode-release-network-check.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261030T214755Z-opencode-release-network-check.json ## File: skills/multi-llm/tests/container/records/20261101T004126Z-opencode-release-gate.json size: 14596 sha: 8a7104759234877c8414b8f6a732371e5e5eae8e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261101T004126Z-opencode-release-gate.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261101T004126Z-opencode-release-gate.json ## File: skills/multi-llm/tests/container/records/20261101T031024Z-codex-release-network-check.json size: 16087 sha: e808c461a3c753d54a89fb17f55a8635955ca125 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261101T031024Z-codex-release-network-check.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261101T031024Z-codex-release-network-check.json ## File: skills/multi-llm/tests/container/records/20261101T061412Z-opencode-release-network-check.json size: 37852 sha: f4985bcb36fa3eb7d5563b341ac5bae9ee27756b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261101T061412Z-opencode-release-network-check.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/20261101T061412Z-opencode-release-network-check.json ## File: skills/multi-llm/tests/container/records/record.schema.json size: 12425 sha: 871bcd4700b803ceb12a7a59c48204a0f1e8d89d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/record.schema.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/records/record.schema.json ## File: skills/multi-llm/tests/container/redirect.yaml size: 100931 sha: 36ed113504b08b24686979a79fc6a0d45a12bf2f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/redirect.yaml Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/redirect.yaml ## File: skills/multi-llm/tests/container/rig-requirements.txt size: 5381 sha: 3807c9d99d0c97bfce840540d2526af6bf155ead upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/rig-requirements.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/rig-requirements.txt ## File: skills/multi-llm/tests/container/seed_cli_surface.py size: 13779 sha: 913b03e24948dc5a1af597f09720aa31344198f9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/seed_cli_surface.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/seed_cli_surface.py ## File: skills/multi-llm/tests/container/seed_container_golden.py size: 26730 sha: 783d434ae43e60925339251e8a5d7ffdc45b6325 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/seed_container_golden.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/seed_container_golden.py ## File: skills/multi-llm/tests/container/seed_expected_argv.py size: 10360 sha: 26828bbccf1e032999ec336c3e2d0b277d9f2d72 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/seed_expected_argv.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/seed_expected_argv.py ## File: skills/multi-llm/tests/container/seed_workspace.py size: 15594 sha: 5473af034f21e90df626115f0f5df7bbf011239e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/seed_workspace.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/seed_workspace.py ## File: skills/multi-llm/tests/container/stub_server.py size: 64213 sha: 9aa79f2e22a2c5cbfc224cd4c2ee59b473d2e69c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/stub_server.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/stub_server.py ## File: skills/multi-llm/tests/container/test_fx_integration.py size: 9700 sha: b064e2738ff5db1a558e0c96ecbe73b80b3d2468 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/test_fx_integration.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/test_fx_integration.py ## File: skills/multi-llm/tests/container/verify_record.py size: 5873 sha: 2f57ca2b6d7a2345a1037d7afcd654d0cbc965af upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/verify_record.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/verify_record.py ## File: skills/multi-llm/tests/container/verify_versions.py size: 10979 sha: 38d729b8ea6a7527d6dd77748228b677c9d41dfe upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/verify_versions.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/verify_versions.py ## File: skills/multi-llm/tests/container/vibe-requirements.txt size: 111391 sha: 213a716e08334bf110560033ef37611a53fb4cdc upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/vibe-requirements.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/vibe-requirements.txt ## File: skills/multi-llm/tests/container/wrapper.py size: 40677 sha: 461cefde83961137189afdf7bcf667bc47ba98e7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/wrapper.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/container/wrapper.py ## File: skills/multi-llm/tests/golden/apply_code_fixes_dry_run_exit_code.txt size: 1 sha: c227083464fb9af8955c90d2924774ee50abb547 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_dry_run_exit_code.txt ```text 0 ``` ## File: skills/multi-llm/tests/golden/apply_code_fixes_dry_run_stderr.txt size: 882 sha: aec7f729e48207f68083458e6c6147e79e8f5ab6 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_dry_run_stderr.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_dry_run_stderr.txt ## File: skills/multi-llm/tests/golden/apply_code_fixes_dry_run_stdout.txt size: 0 sha: e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_dry_run_stdout.txt ```text ``` ## File: skills/multi-llm/tests/golden/apply_code_fixes_help.txt size: 12380 sha: ecf8bbfa343b28520162175b19e72ca2f37ae1d7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_help.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_help.txt ## File: skills/multi-llm/tests/golden/apply_code_fixes_json_exit_code.txt size: 1 sha: c227083464fb9af8955c90d2924774ee50abb547 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_json_exit_code.txt ```text 0 ``` ## File: skills/multi-llm/tests/golden/apply_code_fixes_json_stderr.txt size: 635 sha: 4ddd51a0e8c507e31ed25df6159f93aa6be45d30 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_json_stderr.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_json_stderr.txt ## File: skills/multi-llm/tests/golden/apply_code_fixes_orchestrator_output.json size: 8000 sha: 4548d5bee878db7e7de02b659fb3606a27be2547 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_orchestrator_output.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_orchestrator_output.json ## File: skills/multi-llm/tests/golden/apply_code_fixes_output.json size: 8000 sha: 4548d5bee878db7e7de02b659fb3606a27be2547 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_output.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_output.json ## File: skills/multi-llm/tests/golden/apply_code_fixes_report_parsing.json size: 307 sha: ef7210e16ddce1c919d2d65b40ca0fe0d115541a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_report_parsing.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_code_fixes_report_parsing.json ## File: skills/multi-llm/tests/golden/apply_suggestions_dry_run_exit_code.txt size: 1 sha: c227083464fb9af8955c90d2924774ee50abb547 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_dry_run_exit_code.txt ```text 0 ``` ## File: skills/multi-llm/tests/golden/apply_suggestions_dry_run_stderr.txt size: 908 sha: 83a16e92d7bbe99a9917f629a35e0a1718abea94 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_dry_run_stderr.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_dry_run_stderr.txt ## File: skills/multi-llm/tests/golden/apply_suggestions_dry_run_stdout.txt size: 0 sha: e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_dry_run_stdout.txt ```text ``` ## File: skills/multi-llm/tests/golden/apply_suggestions_help.txt size: 12165 sha: 3b32b257dd316edac7eca351a6be8c824223f530 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_help.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_help.txt ## File: skills/multi-llm/tests/golden/apply_suggestions_json_exit_code.txt size: 1 sha: c227083464fb9af8955c90d2924774ee50abb547 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_json_exit_code.txt ```text 0 ``` ## File: skills/multi-llm/tests/golden/apply_suggestions_json_stderr.txt size: 631 sha: 416950d0df73cb00c9162299d557e56d08a58218 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_json_stderr.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_json_stderr.txt ## File: skills/multi-llm/tests/golden/apply_suggestions_orchestrator_output.json size: 9535 sha: 51af5afb472602321e40465a8e046e35202ad92a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_orchestrator_output.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_orchestrator_output.json ## File: skills/multi-llm/tests/golden/apply_suggestions_output.json size: 9535 sha: 51af5afb472602321e40465a8e046e35202ad92a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_output.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_output.json ## File: skills/multi-llm/tests/golden/apply_suggestions_report_parsing.json size: 308 sha: 30296ce27ca36c4e5ceae1e16b649612fdf59c54 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_report_parsing.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_suggestions_report_parsing.json ## File: skills/multi-llm/tests/golden/apply_task_suggestions_dry_run_exit_code.txt size: 1 sha: c227083464fb9af8955c90d2924774ee50abb547 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_dry_run_exit_code.txt ```text 0 ``` ## File: skills/multi-llm/tests/golden/apply_task_suggestions_dry_run_stderr.txt size: 947 sha: cd7858ae63ed0287fc11af26e6e4ae52fe09c415 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_dry_run_stderr.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_dry_run_stderr.txt ## File: skills/multi-llm/tests/golden/apply_task_suggestions_dry_run_stdout.txt size: 0 sha: e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_dry_run_stdout.txt ```text ``` ## File: skills/multi-llm/tests/golden/apply_task_suggestions_exit_code.txt size: 1 sha: c227083464fb9af8955c90d2924774ee50abb547 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_exit_code.txt ```text 0 ``` ## File: skills/multi-llm/tests/golden/apply_task_suggestions_help.txt size: 10929 sha: 1a3e23b1dce10ddf2ce3891a389ac46d5cae021a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_help.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_help.txt ## File: skills/multi-llm/tests/golden/apply_task_suggestions_orchestrator_output.json size: 17105 sha: 8e39d8e5e77073c7986a9e0072bcf384c6b4057b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_orchestrator_output.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_orchestrator_output.json ## File: skills/multi-llm/tests/golden/apply_task_suggestions_report_parsing.json size: 313 sha: 50b6d586c432eb7bdfbcdeb08121673f3c7780d7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_report_parsing.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_report_parsing.json ## File: skills/multi-llm/tests/golden/apply_task_suggestions_stderr.txt size: 778 sha: b9520b2ef38b5ee2bf549c2e203595fd5c5fa183 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_stderr.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_stderr.txt ## File: skills/multi-llm/tests/golden/apply_task_suggestions_stdout.txt size: 1648 sha: 1569b06f237c504e23fcaab2bd7e83bb6f22e5cf upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_stdout.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/apply_task_suggestions_stdout.txt ## File: skills/multi-llm/tests/golden/bundle_compare.py size: 14125 sha: d87343e6bb9e244bcfeb7eb8db22298015431819 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/bundle_compare.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/bundle_compare.py ## File: skills/multi-llm/tests/golden/capture_baselines.py size: 34858 sha: 7666ea01bc3396af417299ab900ce9ee7ce7f70d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/capture_baselines.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/capture_baselines.py ## File: skills/multi-llm/tests/golden/capture_metadata.json size: 1357 sha: 510af7955939fbfd07be11846747752f1b48d7a5 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/capture_metadata.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/capture_metadata.json ## File: skills/multi-llm/tests/golden/code_review_head_ref_prompt.txt size: 9256 sha: 8232aeaa4336bb1f02daa32cc94ddb96050959f1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/code_review_head_ref_prompt.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/code_review_head_ref_prompt.txt ## File: skills/multi-llm/tests/golden/container/aider/bundle.json size: 249463 sha: 1e2280f147f4b9ca25cf3126141bf490c092f8dd upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/aider/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/aider/bundle.json ## File: skills/multi-llm/tests/golden/container/claude-code/bundle.json size: 251219 sha: a55d584a1e3d207af7b4658bf326b7c33f52f665 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/claude-code/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/claude-code/bundle.json ## File: skills/multi-llm/tests/golden/container/cline/bundle.json size: 249391 sha: 9f9d31c7fc1bb25647813332645ce8811ff419b3 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/cline/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/cline/bundle.json ## File: skills/multi-llm/tests/golden/container/codex/bundle.json size: 179615 sha: 9d8163979584ccff72feefde0aa3e8b28860a9d2 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/codex/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/codex/bundle.json ## File: skills/multi-llm/tests/golden/container/copilot/bundle.json size: 249029 sha: fc29dd502300440b9901bd508209e493791d29dc upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/copilot/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/copilot/bundle.json ## File: skills/multi-llm/tests/golden/container/expected_changes.yaml size: 2122 sha: c8f2199604a4ee0622e51bd3af938557f56c4a8b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/expected_changes.yaml Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/expected_changes.yaml ## File: skills/multi-llm/tests/golden/container/fx/bundle.json size: 249107 sha: a5cf359540640f7f81919f9f54b153fd1e0a7739 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/fx/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/fx/bundle.json ## File: skills/multi-llm/tests/golden/container/gemini/bundle.json size: 249381 sha: b4676e1710bb31bb40ed8438543ef49f7428b018 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/gemini/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/gemini/bundle.json ## File: skills/multi-llm/tests/golden/container/goose/bundle.json size: 249391 sha: 27fc56264f8e660025bbc2fa3650ab009fcf6e8e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/goose/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/goose/bundle.json ## File: skills/multi-llm/tests/golden/container/grok/bundle.json size: 248820 sha: 5197745308ba5a3376df7082df3d9fcf307ee234 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/grok/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/grok/bundle.json ## File: skills/multi-llm/tests/golden/container/kilocode/bundle.json size: 249471 sha: 498f80796d0443682d7b705a1e0e85423424803c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/kilocode/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/kilocode/bundle.json ## File: skills/multi-llm/tests/golden/container/kimi/bundle.json size: 248820 sha: f66b9b50031451668035f2de847224ed8188b7de upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/kimi/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/kimi/bundle.json ## File: skills/multi-llm/tests/golden/container/muse/bundle.json size: 249104 sha: 9396528f150338f0e259d6f60e63a7130a3a6d7f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/muse/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/muse/bundle.json ## File: skills/multi-llm/tests/golden/container/omp/bundle.json size: 249896 sha: 30260e5ae64a738223776fcf414828955b0c646d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/omp/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/omp/bundle.json ## File: skills/multi-llm/tests/golden/container/opencode/bundle.json size: 250287 sha: 0ffc0195a577e87226240682c92e0008c34c21c1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/opencode/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/opencode/bundle.json ## File: skills/multi-llm/tests/golden/container/pi/bundle.json size: 249819 sha: c52a85f7fdb2eb5317fddc682934b275338f44f8 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/pi/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/pi/bundle.json ## File: skills/multi-llm/tests/golden/container/qwen-code/bundle.json size: 249177 sha: ddf49e7fb60a7290ce7d532d211b53ba45343dc4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/qwen-code/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/qwen-code/bundle.json ## File: skills/multi-llm/tests/golden/container/vibe/bundle.json size: 249446 sha: 81fa033537103b7742c6dd9ae23e5b36ab05b46e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/vibe/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/vibe/bundle.json ## File: skills/multi-llm/tests/golden/container/writer-claude-code/bundle.json size: 251172 sha: 813bc5796269356c66b041c719802a9a12227271 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/writer-claude-code/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/writer-claude-code/bundle.json ## File: skills/multi-llm/tests/golden/container/writer-opencode/bundle.json size: 249836 sha: 1bd6c16cc8d88662b73dc6e24f7aedd35529c7b6 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/writer-opencode/bundle.json Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container/writer-opencode/bundle.json ## File: skills/multi-llm/tests/golden/container_bundle.py size: 33216 sha: 0fba99bb5bc68642ef2f3bbbb3c57ad255c3f5a2 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_bundle.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_bundle.py ## File: skills/multi-llm/tests/golden/container_turns/apply-code-fixes-batch.txt size: 3811 sha: 1bbf5f30d8108d8a0a792eb368fedf28db5af104 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/apply-code-fixes-batch.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/apply-code-fixes-batch.txt ## File: skills/multi-llm/tests/golden/container_turns/apply-suggestions-batch.txt size: 1840 sha: 9ce46b5de99dd97705e363aeaf82753344cfbd0e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/apply-suggestions-batch.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/apply-suggestions-batch.txt ## File: skills/multi-llm/tests/golden/container_turns/apply-task-suggestions-batch.txt size: 6216 sha: 0464ca20c5df3dc5523120dd0174985727d5c5a5 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/apply-task-suggestions-batch.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/apply-task-suggestions-batch.txt ## File: skills/multi-llm/tests/golden/container_turns/ask.txt size: 6706 sha: 9cb38bb5c92727b8698d7c350044d2e2e592d501 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/ask.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/ask.txt ## File: skills/multi-llm/tests/golden/container_turns/implement-batch.txt size: 2860 sha: 93d983c3a32ed51ee36943c26d69e3246ac71572 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/implement-batch.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/implement-batch.txt ## File: skills/multi-llm/tests/golden/container_turns/manifest.yaml size: 6156 sha: e6d57123720026f4cd078d4cf7d4835adb123589 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/manifest.yaml Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/manifest.yaml ## File: skills/multi-llm/tests/golden/container_turns/nested-exec-probe.txt size: 72 sha: 28d45dbe99daf14f2b2482de4db36f05677d5a0d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/nested-exec-probe.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/nested-exec-probe.txt ## File: skills/multi-llm/tests/golden/container_turns/review-code-fanout.txt size: 4551 sha: 07b22f71fdcf218908fefa7a318d413e3316cbfd upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/review-code-fanout.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/review-code-fanout.txt ## File: skills/multi-llm/tests/golden/container_turns/review-plan-fanout.txt size: 5529 sha: 0760c99b8fdeb8f65fbda2c01713099abad1d667 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/review-plan-fanout.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/review-plan-fanout.txt ## File: skills/multi-llm/tests/golden/container_turns/review-tasks-fanout.txt size: 8215 sha: a28ce8e16904f10b219ad5a3d45e86950b3dea00 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/review-tasks-fanout.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/review-tasks-fanout.txt ## File: skills/multi-llm/tests/golden/container_turns/side_turns/claude-code-session-title.txt size: 6558 sha: 0591a147863c99eba50ecc8c9f5e728a0fe852e8 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/claude-code-session-title.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/claude-code-session-title.txt ## File: skills/multi-llm/tests/golden/container_turns/side_turns/goose-session-title.txt size: 5487 sha: 9035e1460640d705a109eed4f8d8c26ec44a713a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/goose-session-title.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/goose-session-title.txt ## File: skills/multi-llm/tests/golden/container_turns/side_turns/grok-session-title.txt size: 5464 sha: e9cc61bdfa34ea447be23b47f68621da756da8fd upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/grok-session-title.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/grok-session-title.txt ## File: skills/multi-llm/tests/golden/container_turns/side_turns/kilocode-session-title.txt size: 7286 sha: 6093edf622641c9ea03257344550b9f767dfd6ad upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/kilocode-session-title.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/kilocode-session-title.txt ## File: skills/multi-llm/tests/golden/container_turns/side_turns/muse-reminder-observer-2.txt size: 7052 sha: a02661bc0f2254a5829bc612e45e389013eab864 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/muse-reminder-observer-2.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/muse-reminder-observer-2.txt ## File: skills/multi-llm/tests/golden/container_turns/side_turns/muse-reminder-observer.txt size: 12363 sha: fadcf2146243f959a757ab608a7661fa2d91409c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/muse-reminder-observer.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/muse-reminder-observer.txt ## File: skills/multi-llm/tests/golden/container_turns/side_turns/opencode-session-title.txt size: 7286 sha: e9fa145f1737fb97cae511f4a53de93cb639a5bb upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/opencode-session-title.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/side_turns/opencode-session-title.txt ## File: skills/multi-llm/tests/golden/container_turns/task-generation.txt size: 8999 sha: 83bfafdafcd5510a0f97bfb97415196ea67ac86b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/task-generation.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/task-generation.txt ## File: skills/multi-llm/tests/golden/container_turns/validation-code-review.txt size: 8784 sha: 9d9abe816bb66e53ccf5bc0b3fa34dddb98a96e7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/validation-code-review.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/validation-code-review.txt ## File: skills/multi-llm/tests/golden/container_turns/validation-plan-suggestions.txt size: 6368 sha: 4bcc568218f94526bf2050531fae3f607c4fda8a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/validation-plan-suggestions.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/validation-plan-suggestions.txt ## File: skills/multi-llm/tests/golden/container_turns/validation-task-suggestions.txt size: 6646 sha: e556b32a39f29ab61b1f9c36906522f4cdf071b9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/validation-task-suggestions.txt Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/container_turns/validation-task-suggestions.txt ## File: skills/multi-llm/tests/golden/expected_changes.yaml size: 54430 sha: 84844279fbb8f25ddd0aad00f7e7f44d24223718 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/expected_changes.yaml Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/instruction_refactor_bundle.py ## File: skills/multi-llm/tests/golden/normalize_argv.py size: 13546 sha: 70f607ff190b32920c6c62d581472356e940ee78 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/normalize_argv.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/normalize_argv.py ## File: skills/multi-llm/tests/golden/prompts/consolidation.txt size: 7017 sha: 1155562956cc3452c7192f6dd90161de8a71dd2d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/prompts/consolidation.txt Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/golden/scope_policy_default_apply.json ## File: skills/multi-llm/tests/harness/__init__.py size: 1054 sha: 4129fac95fe2a5bf9360960e885a50485fb09bff upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/harness/__init__.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/harness/__init__.py ## File: skills/multi-llm/tests/harness/assertion_helpers.py size: 21488 sha: 1ac78fb2f0f2525d454fe7313586f3c9e56d9416 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/harness/assertion_helpers.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_code_fixes_unit.py ## File: skills/multi-llm/tests/test_apply_fix_known_checks.py size: 45197 sha: 6256f8c35872924aceaa50059bdef3cc27f21528 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_fix_known_checks.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_fix_known_checks.py ## File: skills/multi-llm/tests/test_apply_orchestrator_base.py size: 284749 sha: 2d77658296b96c4e23cd553c8fd44412e6a68879 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_orchestrator_base.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_orchestrator_base.py ## File: skills/multi-llm/tests/test_apply_phase_in_progress.py size: 6899 sha: 2539621d77a4af93de7df7b1ccdb0ba7d64f49bc upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_phase_in_progress.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_phase_in_progress.py ## File: skills/multi-llm/tests/test_apply_phases_close_like_implement.py size: 7927 sha: 89da18d6ad2fbd675acbb65a21c0b7c19470448d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_phases_close_like_implement.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_phases_close_like_implement.py ## File: skills/multi-llm/tests/test_apply_suggestions_integration.py size: 51498 sha: ccfff9d193c7ee98c70204c8f3f4bb17ef9ecc66 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_suggestions_integration.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_suggestions_integration.py ## File: skills/multi-llm/tests/test_apply_task_suggestions.py size: 60658 sha: 010d6053f981538b7180656c269f63dbf707962b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_task_suggestions.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_task_suggestions.py ## File: skills/multi-llm/tests/test_apply_task_suggestions_integration.py size: 51358 sha: 9d3ed67f68f19d47709956e72effce3f75a9af2a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_task_suggestions_integration.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_apply_task_suggestions_integration.py ## File: skills/multi-llm/tests/test_ask.py size: 189819 sha: 30d96defdc2eb370e8a00d2c21e3e0373ebcc391 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_ask.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_ask.py ## File: skills/multi-llm/tests/test_attempt_backpressure.py size: 16683 sha: ad99a98392420e16648ad6508a506263ac927491 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_attempt_backpressure.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_attempt_backpressure.py ## File: skills/multi-llm/tests/test_availability.py size: 34937 sha: 2bb08e330b4b1c1b4e2af3ea0dae77d3218ef2ec upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_availability.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_batch_own_check.py ## File: skills/multi-llm/tests/test_batched_validation.py size: 122962 sha: 787cbc5734b7777af17974c252c88a128dce2ea1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_batched_validation.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_batched_validation.py ## File: skills/multi-llm/tests/test_block_reason_says_one_thing.py size: 6902 sha: ffe72471cd2834cb1c37f4e45c160df718a0050c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_block_reason_says_one_thing.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_block_reason_says_one_thing.py ## File: skills/multi-llm/tests/test_build_context.py size: 19446 sha: 091d4e47aec077ba3a98ab7bde2f6888e782cede upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_build_context.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_build_context.py ## File: skills/multi-llm/tests/test_bypassed_slot_failure_provenance.py size: 11103 sha: 62b4df8989a94429cf9b77429576655a3638a684 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_bypassed_slot_failure_provenance.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_bypassed_slot_failure_provenance.py ## File: skills/multi-llm/tests/test_capability_promotions.py size: 25449 sha: a022a6d55f9ec71f0f78eefdb05243768f04f6d7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_capability_promotions.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_capability_promotions.py ## File: skills/multi-llm/tests/test_check_always_reported.py size: 12199 sha: b3bc3ae99a66ff3bb2377f261dfafd6b616b1c05 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_check_always_reported.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_check_gate_fixture.py ## File: skills/multi-llm/tests/test_check_repeats_finding.py size: 24282 sha: f6197a512cd0215d8d17620ec1235aca5fd2671b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_check_repeats_finding.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_check_repeats_finding.py ## File: skills/multi-llm/tests/test_check_reply.py size: 11116 sha: 9277a4a7cd14b6697518cdf01ed5198105732bf6 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_check_reply.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_check_reply.py ## File: skills/multi-llm/tests/test_check_task_findings.py size: 16322 sha: 2ac94b752f4c013e79c4e3df57c871a3d40f2f26 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_check_task_findings.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_check_task_findings.py ## File: skills/multi-llm/tests/test_check_tree_stamps.py size: 6496 sha: 4a4e6ba064c45d6728b55883446dfbb73818e0b4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_check_tree_stamps.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_front_door.py ## File: skills/multi-llm/tests/test_commit_range.py size: 61936 sha: 29eba0a1567c0f1d001de85ff989d18fce39d07f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_range.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_range.py ## File: skills/multi-llm/tests/test_commit_review_paths.py size: 24578 sha: 6f55c479adf4c849d5e78639c186bfca1c1878f7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_review_paths.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_review_paths.py ## File: skills/multi-llm/tests/test_commit_review_prompt.py size: 19082 sha: 8d5dfd2e986c3d77186491af29da044258be5291 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_review_prompt.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_review_prompt.py ## File: skills/multi-llm/tests/test_commit_review_report.py size: 40574 sha: 44cab4d0eb14c76e54e0cd4c81eb07c1b5603556 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_review_report.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_review_report.py ## File: skills/multi-llm/tests/test_commit_spelling.py size: 3802 sha: ce3b4ff004743c3752b083b991ba5e92b0301327 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_spelling.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_spelling.py ## File: skills/multi-llm/tests/test_commit_spelling_sites.py size: 33370 sha: a5d5e69564d21eec2be2536284f86c0b6e8c4588 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_spelling_sites.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_spelling_sites.py ## File: skills/multi-llm/tests/test_commit_write_policy.py size: 78516 sha: 272077fb153e77b317760bc6f8683cb5572c94de upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_write_policy.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_commit_write_policy.py ## File: skills/multi-llm/tests/test_completion_predates.py size: 10818 sha: 039c086cffdc5def55972c5a484fe692ce12a2d0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_completion_predates.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_completion_predates.py ## File: skills/multi-llm/tests/test_consolidation.py size: 51092 sha: 2151749fc7dd6d5289274c055e290e8042f38b2a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_consolidation.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_consolidation.py ## File: skills/multi-llm/tests/test_consolidation_integration.py size: 41763 sha: 23012e5ab3eebca29f79233550ef2f7c05362910 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_consolidation_integration.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_consolidation_integration.py ## File: skills/multi-llm/tests/test_consolidation_not_recommended_twice.py size: 10410 sha: c9ba548a80ba3f8a55c41f0c26490c8c75002144 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_consolidation_not_recommended_twice.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_consolidation_not_recommended_twice.py ## File: skills/multi-llm/tests/test_container_argv.py size: 18134 sha: b1f0bbe7cf2b2697c7caf59e5c3affa5f07e72d9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_argv.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_argv.py ## File: skills/multi-llm/tests/test_container_cli_surface.py size: 17102 sha: 905a00b2107e0cafc1c93b5d3d3781be3ea7c5b3 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_cli_surface.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_cli_surface.py ## File: skills/multi-llm/tests/test_container_commit_modes.py size: 15004 sha: 14b61b9000bb4bcf971a7f5cf2f0ea3938966c71 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_commit_modes.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_commit_modes.py ## File: skills/multi-llm/tests/test_container_documented_invocation.py size: 26482 sha: b8e37c670dcddba7e2ef0c240dd91555b505ce0e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_documented_invocation.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_documented_invocation.py ## File: skills/multi-llm/tests/test_container_full_chain.py size: 73354 sha: b1afcd167cc0cb0d9897d1101f0d67e86c4cab5f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_full_chain.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_full_chain.py ## File: skills/multi-llm/tests/test_container_host_lane.py size: 179759 sha: 1423cad9d2058e02b144c51829ed4215b4fcc928 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_host_lane.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_host_lane.py ## File: skills/multi-llm/tests/test_container_improve_modes.py size: 16802 sha: 8d2390b08f2508536fed5de6a1dbd5162ce48195 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_improve_modes.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_improve_modes.py ## File: skills/multi-llm/tests/test_container_live_provider.py size: 121699 sha: fd5cc82d1778914fb5a1c7f4a301f39b4b79a29d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_live_provider.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_live_provider.py ## File: skills/multi-llm/tests/test_container_opencode_deny.py size: 10256 sha: 837a794645e8f3ae004543ff2f814d223cb06f77 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_opencode_deny.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_opencode_deny.py ## File: skills/multi-llm/tests/test_container_opencode_package_gate.py size: 6390 sha: af962e0797eee610bcd75c738ddb5ebe1b6dc119 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_opencode_package_gate.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_opencode_package_gate.py ## File: skills/multi-llm/tests/test_container_provider_lane.py size: 15389 sha: 447f8049aaaebbec7e436ebbc2712b2cfdad8fa4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_provider_lane.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_container_provider_lane.py ## File: skills/multi-llm/tests/test_continuation_plan_spelling.py size: 23536 sha: 9362107f4096e8c00a2a6d3c0b2c65aefa3ab87d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_continuation_plan_spelling.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_continuation_plan_spelling.py ## File: skills/multi-llm/tests/test_copilot_home_isolation.py size: 8578 sha: e5085dcf6d98d980a57b076531426d6f3f81d052 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_copilot_home_isolation.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_copilot_home_isolation.py ## File: skills/multi-llm/tests/test_credential_strip.py size: 39023 sha: d1b299cd7fd552bd27309e64dc7bcf6ef6c0ea02 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_credential_strip.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_credential_strip.py ## File: skills/multi-llm/tests/test_cursor_argv_and_residue.py size: 25284 sha: 9f7941f4ee3002305a61dffbdbc796db64261c04 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_cursor_argv_and_residue.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_cursor_argv_and_residue.py ## File: skills/multi-llm/tests/test_cursor_auth_probe.py size: 33911 sha: eb06ad10aad0941cb3b161810b6bd392c5f116dc upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_cursor_auth_probe.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_cursor_auth_probe.py ## File: skills/multi-llm/tests/test_cursor_profile_isolation.py size: 45227 sha: ce37b45529e6945d7ec4a1ce0b769c8b566f1b51 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_cursor_profile_isolation.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_declined_reason_punctuation.py ## File: skills/multi-llm/tests/test_default_models_reach_a_lane.py size: 4875 sha: f95210c0bc47d91d7699d2d6714da1f2be6c6def upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_default_models_reach_a_lane.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_default_models_reach_a_lane.py ## File: skills/multi-llm/tests/test_detach.py size: 338689 sha: debcc0d9f2d064bb628dd635f673484837defb7d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_detach.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_dispatch_counts.py ## File: skills/multi-llm/tests/test_dispatch_from_a_subdirectory.py size: 31556 sha: 915732a44fc88bd6052b0536ed66b3d64d9e772f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_dispatch_from_a_subdirectory.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_dispatch_from_a_subdirectory.py ## File: skills/multi-llm/tests/test_dockerfile_pins.py size: 21999 sha: 8f750f124afd26b589013dc6248861a96ded2756 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_dockerfile_pins.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_dockerfile_pins.py ## File: skills/multi-llm/tests/test_docs_links.py size: 17811 sha: 76c65157a8964764bf46020a9f5de2c63409984e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_docs_links.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_docs_links.py ## File: skills/multi-llm/tests/test_doctor.py size: 52498 sha: e4b472f43737d22c85f1b5a256606a1a847bd059 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_doctor.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_doctor.py ## File: skills/multi-llm/tests/test_duplicate_run_prevention.py size: 33129 sha: b22d637d48f3301c050f767fe027eb87885fa977 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_duplicate_run_prevention.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_duplicate_run_prevention.py ## File: skills/multi-llm/tests/test_e2e_apply_code_fixes.py size: 41040 sha: 5a473e76b66f91dbcc3fe61b0a3e6b1e7764adb1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_apply_code_fixes.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_apply_code_fixes.py ## File: skills/multi-llm/tests/test_e2e_batching.py size: 29069 sha: 373840a730d4d8411f46c20c90b9a2b86b683d4c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_batching.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_batching.py ## File: skills/multi-llm/tests/test_e2e_code_review.py size: 38392 sha: fdcc6b27767beee413e18d5d7e4bb8d58ca224a8 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_code_review.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_code_review.py ## File: skills/multi-llm/tests/test_e2e_commit_modes.py size: 49055 sha: 3445d821c03cde0ff95763a4df590808a40b03a0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_commit_modes.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_commit_modes.py ## File: skills/multi-llm/tests/test_e2e_exec_subagents.py size: 17171 sha: 15503c7003865fe54c05ff50d27309d13db86de4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_exec_subagents.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_exec_subagents.py ## File: skills/multi-llm/tests/test_e2e_failures.py size: 158695 sha: c123b7e19e4a6c2276ff061d517d5787678e044d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_failures.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_failures.py ## File: skills/multi-llm/tests/test_e2e_full_chain.py size: 41136 sha: cccce9b3034f799f734a3be0d95fb054ebe7297c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_full_chain.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_full_chain.py ## File: skills/multi-llm/tests/test_e2e_html_report.py size: 20745 sha: 9c32dc379e644682335d7ffc017cbf887e73f613 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_html_report.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_html_report.py ## File: skills/multi-llm/tests/test_e2e_improve_modes.py size: 79425 sha: 1d235e4c4fbf8ecdd9b7228640468e7e9cdee800 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_improve_modes.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_improve_modes.py ## File: skills/multi-llm/tests/test_e2e_mock_infrastructure.py size: 35843 sha: fd31a0d32650e72395bb9364143154908308f2ae upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_mock_infrastructure.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_mock_infrastructure.py ## File: skills/multi-llm/tests/test_e2e_runs_retention.py size: 7240 sha: b4697030a39783e43cbf279456ce6f306d39abe0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_runs_retention.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_runs_retention.py ## File: skills/multi-llm/tests/test_e2e_validation.py size: 25340 sha: 81ebb332a9f5ccaaf5c31888ade9dd43692a4beb upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_validation.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_validation.py ## File: skills/multi-llm/tests/test_e2e_validation_edge_cases.py size: 41891 sha: 24e3cbe54fb50be710dfe415cd0998f2e1aa3f39 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_validation_edge_cases.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_validation_edge_cases.py ## File: skills/multi-llm/tests/test_e2e_workflow.py size: 27144 sha: f237355377e3d658f436d05498bd4eb15769fa3f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_workflow.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_e2e_workflow.py ## File: skills/multi-llm/tests/test_egress_resolver.py size: 4689 sha: a6b0869431395ec62bcc45eb15ead8f00c96d556 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_egress_resolver.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_egress_resolver.py ## File: skills/multi-llm/tests/test_empty_review_outcomes.py size: 26739 sha: 7c31604d66ab71ddb462930de6a6e68455be4d73 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_empty_review_outcomes.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_empty_review_outcomes.py ## File: skills/multi-llm/tests/test_env_allowlist.py size: 32917 sha: 63ae0f87f92a67ce35e245c947bdf6ff224c7ffa upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_env_allowlist.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_env_allowlist.py ## File: skills/multi-llm/tests/test_env_home_expansion.py size: 8303 sha: f6b7b9921f721a3ecdc39b3bca04a7ca5db3b470 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_env_home_expansion.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_env_home_expansion.py ## File: skills/multi-llm/tests/test_eta_closes_every_ending.py size: 13868 sha: a4d38ebc4505c12b5c9f9beb7023ca769dce3d66 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_eta_closes_every_ending.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_harness.py ## File: skills/multi-llm/tests/test_hook_transcript_settle.py size: 28989 sha: 18c165a800df388bd4a61dfe8e4e49b60135dc6c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_hook_transcript_settle.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_hook_transcript_settle.py ## File: skills/multi-llm/tests/test_host_capabilities.py size: 90491 sha: 7120e1fc12daeb42571821114bd87161d8631e7f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_host_capabilities.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_human_task_answers.py ## File: skills/multi-llm/tests/test_implement_continues_a_started_run.py size: 33550 sha: a1fd6b870b0cf8a5a7ac3d5d09515640146d3ac1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_implement_continues_a_started_run.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_implement_continues_a_started_run.py ## File: skills/multi-llm/tests/test_implement_orchestrator.py size: 106133 sha: ae774282a16fe14d56261b5a519c005c55fa7863 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_implement_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_implement_orchestrator.py ## File: skills/multi-llm/tests/test_implement_resolution_replay.py size: 2059 sha: b082a68ac0d915c063785de0c1aae0fada7fbbda upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_implement_resolution_replay.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_implement_resolution_replay.py ## File: skills/multi-llm/tests/test_implement_stop_account.py size: 21463 sha: 8e2d1856dbda0ded54d29ce3fcd27bbae177adb4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_implement_stop_account.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_implement_stop_account.py ## File: skills/multi-llm/tests/test_importance.py size: 12655 sha: ee7292acdac3d56e4fa24ed6a9595036d443fb99 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_importance.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_importance.py ## File: skills/multi-llm/tests/test_improve_commits.py size: 44329 sha: dc4141a40ce661e5bbad161b2b95d52cabb267d7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_improve_commits.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_improve_commits.py ## File: skills/multi-llm/tests/test_improve_orchestrator.py size: 84953 sha: e43806bbda0d27cf7ae78797833356bcb608bed1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_improve_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_improve_orchestrator.py ## File: skills/multi-llm/tests/test_improve_steps.py size: 60566 sha: d8fbb0755c3247af9a4930acc522f7834acc38cc upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_improve_steps.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_improve_steps.py ## File: skills/multi-llm/tests/test_init_config.py size: 29792 sha: 83f7b3617083b765d69b297bb91104dc6dd08814 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_init_config.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_init_config.py ## File: skills/multi-llm/tests/test_install_host.py size: 100939 sha: 0e69003ab9e00bf9c08581606c1425d936fb2fa6 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_install_host.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_install_host.py ## File: skills/multi-llm/tests/test_instruction_portability.py size: 199433 sha: 18ae51cdc9919b25f7a89a189edbe5c648b17d73 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_instruction_portability.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_instruction_portability.py ## File: skills/multi-llm/tests/test_instruction_refactor_guard.py size: 16268 sha: cc728cc1e3060b050b11c5a87eb6a7f62dc42eb4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_instruction_refactor_guard.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_instruction_refactor_guard.py ## File: skills/multi-llm/tests/test_interactive.py size: 14693 sha: 6fb522f187ca3f6f0cfab840cae790114eefacd0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_interactive.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_interactive.py ## File: skills/multi-llm/tests/test_json_extractor.py size: 43694 sha: 1886eda5cbea9bf076fd621e272c587c9f711d3f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_json_extractor.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_json_extractor.py ## File: skills/multi-llm/tests/test_judge_vocab.py size: 36368 sha: 1f037e6b5e6eff4b001d60200c4d32d9e1ca8886 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_judge_vocab.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_judge_vocab.py ## File: skills/multi-llm/tests/test_kept_task_ids.py size: 3640 sha: e1ab66afd7caef4b339bcf99ced5eef73a5a4618 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_kept_task_ids.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_kept_task_ids.py ## File: skills/multi-llm/tests/test_kimi_home_isolation.py size: 7588 sha: e807fb7f663b0747c36189abeea1fd56e0a341fe upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_kimi_home_isolation.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_kimi_home_isolation.py ## File: skills/multi-llm/tests/test_landlock_dispatch.py size: 110054 sha: badde5e678c070966568703539c91db97a8162be upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_landlock_dispatch.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_llm_robustness.py ## File: skills/multi-llm/tests/test_lock_update.py size: 25759 sha: 9a6cba415189a1e2d13ea133ca104fd8c19cdb6b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_lock_update.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_lock_update.py ## File: skills/multi-llm/tests/test_makefile_lanes.py size: 6071 sha: a6c2c2a4149f13107033c47f2dcfcd2a96bd105e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_makefile_lanes.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_next_step_relay_rules.py ## File: skills/multi-llm/tests/test_no_commit_repository.py size: 37800 sha: 4f9baaf1a194f07b89609ef0419131e7921e51a5 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_no_commit_repository.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_no_commit_repository.py ## File: skills/multi-llm/tests/test_no_committed_secrets.py size: 52564 sha: 2720cc35387214e1c4a0641a0b9ca4c5159ab7c1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_no_committed_secrets.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_no_committed_secrets.py ## File: skills/multi-llm/tests/test_notice_clause_join.py size: 7978 sha: 616f7097ffe6c89fbf1c3e90311984bd5be276d5 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_notice_clause_join.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_notice_clause_join.py ## File: skills/multi-llm/tests/test_omp_containment.py size: 23496 sha: e0082764c80d03221405b979cc272139d42b30dc upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_omp_containment.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_omp_containment.py ## File: skills/multi-llm/tests/test_omp_stream_reading.py size: 37419 sha: 850b5b673521484f0907ce80eb710812cd97a6a3 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_omp_stream_reading.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_omp_stream_reading.py ## File: skills/multi-llm/tests/test_one_own_check_rule.py size: 14268 sha: 79d72abb277e2f54f1fb9d45e9991a03fd32758f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_one_own_check_rule.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_one_own_check_rule.py ## File: skills/multi-llm/tests/test_opencode_config_providers.py size: 51335 sha: e0baf3458554c86fd10b70ea9b79bb6d3900ab4a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_config_providers.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_config_providers.py ## File: skills/multi-llm/tests/test_opencode_first_release.py size: 57243 sha: 683445ad99127d617b00d4b1cea467ce85595cfa upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_first_release.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_first_release.py ## File: skills/multi-llm/tests/test_opencode_hermetic.py size: 59083 sha: 1e6bd9b8280d77227dfd93bf6d56214f6e0305f9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_hermetic.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_hermetic.py ## File: skills/multi-llm/tests/test_opencode_host_install.py size: 26590 sha: 86ead5cd48c374a779f1817a4e90a716c28dd50f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_host_install.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_host_install.py ## File: skills/multi-llm/tests/test_opencode_package.py size: 453795 sha: 5383baed53a4f48d9fbe5c6e8442b29246a23d8b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_package.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_package.py ## File: skills/multi-llm/tests/test_opencode_package_gate_graders.py size: 47558 sha: 9a4ac525eb29084a93940b3ab26308a3f48a9b40 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_package_gate_graders.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_package_gate_graders.py ## File: skills/multi-llm/tests/test_opencode_permission_block.py size: 24416 sha: c93d763a73db5719402b26245304eff118c6a186 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_permission_block.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_permission_block.py ## File: skills/multi-llm/tests/test_opencode_probe_signals.py size: 12020 sha: c092e31d02bef9edd04e470183a3201a474bc348 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_probe_signals.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_probe_signals.py ## File: skills/multi-llm/tests/test_opencode_publish_workflow.py size: 59860 sha: 0d1040c3a3063eeb3c157f1fb711f43f50d2e416 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_publish_workflow.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_publish_workflow.py ## File: skills/multi-llm/tests/test_opencode_registry_absent.py size: 44543 sha: 4d64963ba10a8ed906ace148cad08d55338206a9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_registry_absent.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_registry_absent.py ## File: skills/multi-llm/tests/test_opencode_registry_check.py size: 77575 sha: 47cfd272f2f6bc8eaf51ead1f79c230f191b6647 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_registry_check.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_registry_check.py ## File: skills/multi-llm/tests/test_opencode_registry_record.py size: 30309 sha: e001b3c8da30fda60b06270ea1980bfb00f8425f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_registry_record.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_registry_record.py ## File: skills/multi-llm/tests/test_opencode_registry_stub.py size: 13975 sha: 944d5c12a96fdb34d27feb1b7d594d5c9046177c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_registry_stub.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_registry_stub.py ## File: skills/multi-llm/tests/test_opencode_release_gate.py size: 85631 sha: b81d14e5c75bbccb57068f77314dbf6df2f54d04 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_release_gate.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_release_gate.py ## File: skills/multi-llm/tests/test_opencode_row7_probe.py size: 43478 sha: 7a98faf9e8910f20b072724cbebefd6a6c5cd133 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_row7_probe.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_row7_probe.py ## File: skills/multi-llm/tests/test_opencode_stop_title.py size: 9662 sha: ef630892788bc7c14a814f1b68900481050030a2 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_stop_title.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_stop_title.py ## File: skills/multi-llm/tests/test_opencode_version_pins.py size: 15319 sha: 7a817ded899cae9853f37584dd11e3dd750cb5b1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_version_pins.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_version_pins.py ## File: skills/multi-llm/tests/test_opencode_write_profile.py size: 32045 sha: 9674aa50f0b194293e9ea85668d310fa0ac6224f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_write_profile.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_opencode_write_profile.py ## File: skills/multi-llm/tests/test_optional_step_why.py size: 6443 sha: 47df530adb23350c4b39daa4b8316833ea2ba4d1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_optional_step_why.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_optional_step_why.py ## File: skills/multi-llm/tests/test_optional_why_wording.py size: 4441 sha: e7e679dfae3d14042a2c9fd4633e2efcfdbb9ce5 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_optional_why_wording.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_optional_why_wording.py ## File: skills/multi-llm/tests/test_orchestrator_integration.py size: 4139 sha: a898ed21f59e3c2e044ac0ec3a12e3872e916e29 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_orchestrator_integration.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_orchestrator_integration.py ## File: skills/multi-llm/tests/test_output_handler.py size: 7247 sha: 1e6dbdcd73f45ea27009c20a581b9a2cfccd0975 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_output_handler.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_output_handler.py ## File: skills/multi-llm/tests/test_own_check_not_recorded.py size: 11435 sha: b907e7586418165de19d62cd61a7340bbd4442ca upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_own_check_not_recorded.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_own_check_not_recorded.py ## File: skills/multi-llm/tests/test_partial_detached_result.py size: 23398 sha: 5ecfa6587108b2afff0f8db7bc7003c1be2d6d10 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_partial_detached_result.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_partial_detached_result.py ## File: skills/multi-llm/tests/test_phase3c_workflow.py size: 49648 sha: fade2c387ab5a24e2271faa7a6cafaf76444a24b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_phase3c_workflow.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_phase3c_workflow.py ## File: skills/multi-llm/tests/test_pi_family_stream.py size: 20688 sha: 37dd5dab9bdba6bc9650060b629d5588a1a76714 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_pi_family_stream.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_pi_family_stream.py ## File: skills/multi-llm/tests/test_pi_json_mode.py size: 41254 sha: 2a060672801e9ffd2cad568b972659ebd8657803 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_pi_json_mode.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_pi_json_mode.py ## File: skills/multi-llm/tests/test_plan_updater.py size: 5766 sha: 863bbb59885e7ade234fa191b82e1c22d6b413ae upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_plan_updater.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_plugin_hooks.py ## File: skills/multi-llm/tests/test_plugin_landlock_acceptance.py size: 82823 sha: b2eff3204af6fd1dd7b0fa2f759c6ed3da659f88 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_plugin_landlock_acceptance.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_plugin_landlock_acceptance.py ## File: skills/multi-llm/tests/test_plugin_landlock_executor.py size: 78250 sha: d9fe0d66c53f1bc4aee639d787f9d9981a958128 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_plugin_landlock_executor.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_plugin_landlock_executor.py ## File: skills/multi-llm/tests/test_plugin_landlock_fanout.py size: 61309 sha: 029bc2cfa3e1293024f2bcc027dbdf6fd2e6fe1b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_plugin_landlock_fanout.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_plugin_landlock_fanout.py ## File: skills/multi-llm/tests/test_plugin_landlock_surfaces.py size: 28018 sha: 1dc44f302fd3a544ca97a8283b101919aed857dc upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_plugin_landlock_surfaces.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_plugin_landlock_surfaces.py ## File: skills/multi-llm/tests/test_plugin_landlock_write.py size: 62299 sha: 257826c7ca241cc2ff4cfc7a63b49aeb4b51b0d0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_plugin_landlock_write.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_plugin_landlock_write.py ## File: skills/multi-llm/tests/test_policy_way_forward.py size: 16473 sha: 53d4b0ecc2c7392e7b4b0bfcb1ecd0fd0b1fbf90 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_policy_way_forward.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_policy_way_forward.py ## File: skills/multi-llm/tests/test_porcelain_baseline.py size: 8423 sha: a4b98e747b6abd722a2012826e4341d9508a9b5c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_porcelain_baseline.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_porcelain_baseline.py ## File: skills/multi-llm/tests/test_prior_batches_named_by_id.py size: 15342 sha: 897f827870975728032af9dda3e1ba5b81e501fd upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_prior_batches_named_by_id.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_prior_batches_named_by_id.py ## File: skills/multi-llm/tests/test_prior_changes.py size: 38483 sha: d22f07aa7613048b54574800e73b44efbc9aa431 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_prior_changes.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_prior_changes.py ## File: skills/multi-llm/tests/test_prior_changes_empty_id.py size: 4228 sha: 99a3c9da7506ae2c734357d2dd0d146379525672 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_prior_changes_empty_id.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_progress_tracker.py ## File: skills/multi-llm/tests/test_prompt_files_stay_inside.py size: 13108 sha: 6fc941ab12bf548e7f9164d3b1a10a8037b01d1c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_prompt_files_stay_inside.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_prompt_files_stay_inside.py ## File: skills/multi-llm/tests/test_prompt_loader.py size: 12245 sha: c0857899d3f579b5f19a1978bc2bfc21f0a95261 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_prompt_loader.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_prompt_loader.py ## File: skills/multi-llm/tests/test_provider_fixture_rows.py size: 17436 sha: 018ae749a72733ad7d74703a466350aed31bf330 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_provider_fixture_rows.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_provider_fixture_rows.py ## File: skills/multi-llm/tests/test_provider_housekeeping.py size: 48867 sha: e4e040a89b2d05fde7a012c2e4e70bd8713c7907 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_provider_housekeeping.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_provider_housekeeping.py ## File: skills/multi-llm/tests/test_provider_registry.py size: 137196 sha: 632941bb4c804e663f15dded3249f5fb2109867b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_provider_registry.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_provider_registry.py ## File: skills/multi-llm/tests/test_providers.py size: 523833 sha: eb796139f13cee47ad36a2199d2c5ae98b58c756 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_providers.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_providers.py ## File: skills/multi-llm/tests/test_qwen_home_isolation.py size: 9334 sha: bb28b318ff9a2b83951bfd8378bbe052276c0445 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_qwen_home_isolation.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_qwen_home_isolation.py ## File: skills/multi-llm/tests/test_read_only_modes.py size: 59935 sha: 0bdb6a6c46685481c96a7c06347ccd28ca39c726 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_read_only_modes.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_read_only_modes.py ## File: skills/multi-llm/tests/test_readme_mode_table.py size: 6457 sha: 006cf8549061a1834d0ff9cc0f70540afbdce719 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_readme_mode_table.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_readme_mode_table.py ## File: skills/multi-llm/tests/test_reaggregate_identity.py size: 176949 sha: 81e228a236d3e500a09c46cf14139cae4e010189 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_reaggregate_identity.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_reaggregate_identity.py ## File: skills/multi-llm/tests/test_reaggregate_progress_line.py size: 6503 sha: b4f362e428b2c8843788192edad792552b0588bc upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_reaggregate_progress_line.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_reaggregate_progress_line.py ## File: skills/multi-llm/tests/test_reasoning_effort_ladder.py size: 29930 sha: 753589a028626a9614dffa270ad9b54337685dbe upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_reasoning_effort_ladder.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_reasoning_effort_ladder.py ## File: skills/multi-llm/tests/test_recorded_stop_answers.py size: 5073 sha: 24ffe598c2e337148d2590aaa130c69c5ddbc0bf upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_recorded_stop_answers.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_recorded_stop_answers.py ## File: skills/multi-llm/tests/test_redaction.py size: 65581 sha: dbdcb177d1bf14defb454fb54be700f8605c699d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_redaction.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_redaction.py ## File: skills/multi-llm/tests/test_redirect_matrix_claims.py size: 62867 sha: 94f07338877c914ef8894d8e2e8a9ca618524e6f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_redirect_matrix_claims.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_redirect_matrix_claims.py ## File: skills/multi-llm/tests/test_refused_answers.py size: 9645 sha: 20d103648b3f5c20b706242ac02374a0b40fe39c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_refused_answers.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_refused_answers.py ## File: skills/multi-llm/tests/test_relay_says_it_once.py size: 19023 sha: 07286b93bb26e414445fdf31716d09143ed0d2b9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_relay_says_it_once.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_relay_says_it_once.py ## File: skills/multi-llm/tests/test_release_history.py size: 46972 sha: 62c65ec73cd3dc6b99c7b7aa2f8e6231c5a22ee2 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_release_history.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_release_history.py ## File: skills/multi-llm/tests/test_replay_flags.py size: 53882 sha: 5e2892a2493c9bcbaf6808555b80be40ece20fbd upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_replay_flags.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_replay_flags.py ## File: skills/multi-llm/tests/test_reply_without_schema_version.py size: 9103 sha: 8584caab88c832e11a4a7f0ac65cc50a773fa2ff upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_reply_without_schema_version.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_reply_without_schema_version.py ## File: skills/multi-llm/tests/test_report_check.py size: 33206 sha: edc277d29054bbc40b66dd79b031f9ecfb3b04b3 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_report_check.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_report_check.py ## File: skills/multi-llm/tests/test_report_check_composite.py size: 17838 sha: ff4c1e689593473a911b3be372ae926030851a9c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_report_check_composite.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_report_check_composite.py ## File: skills/multi-llm/tests/test_report_check_session.py size: 12532 sha: 43ae7eda4e226200dc3172e3a25020b4b75a497a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_report_check_session.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_report_check_session.py ## File: skills/multi-llm/tests/test_report_check_stop_answers.py size: 6880 sha: 35c734152560131b793d3eb522cdc2e4e7b7efd9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_report_check_stop_answers.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_report_check_stop_answers.py ## File: skills/multi-llm/tests/test_report_parser.py size: 74837 sha: bac7a605da24471a6a950b73790f090d717af209 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_report_parser.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_report_parser.py ## File: skills/multi-llm/tests/test_report_repair_preserves_checks.py size: 5451 sha: 78c2c0aaea9bb903d9a7ba51683e58397d7b10ad upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_report_repair_preserves_checks.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_report_repair_preserves_checks.py ## File: skills/multi-llm/tests/test_rerun_result_freshness.py size: 20955 sha: 486be4fa9b94be691fb39b18f628a09e10e2adad upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_rerun_result_freshness.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_rerun_result_freshness.py ## File: skills/multi-llm/tests/test_result_envelope.py size: 10369 sha: ddbb54fdc833d096f1ee71d0e14f2947eb6cb472 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_result_envelope.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_result_envelope.py ## File: skills/multi-llm/tests/test_result_envelope_verdicts.py size: 22055 sha: f423613050992ac3a9dd11fa289d5d704fd70421 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_result_envelope_verdicts.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_result_envelope_verdicts.py ## File: skills/multi-llm/tests/test_resume_why.py size: 20909 sha: 2552cb842ac2e7a28791a68c3cd86eb4d8459af7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_resume_why.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_resume_why.py ## File: skills/multi-llm/tests/test_retry_ladder.py size: 30563 sha: b458c9c8cb6513690f05c2315f7ec46cd25c1f08 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_retry_ladder.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_retry_ladder.py ## File: skills/multi-llm/tests/test_review_code_head_ref.py size: 56065 sha: 543180f613fd03e521dd2dea3a0db362e9432eee upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_code_head_ref.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_code_head_ref.py ## File: skills/multi-llm/tests/test_review_diff_spill.py size: 25707 sha: d6835d5d4ae2cacb7d27467b25cf10e1eafd2599 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_diff_spill.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_diff_spill.py ## File: skills/multi-llm/tests/test_review_plan_orchestrator.py size: 87223 sha: c2875b897715afc7ac9c2ed7bfc35885f09f6942 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_plan_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_plan_orchestrator.py ## File: skills/multi-llm/tests/test_review_priority_reset.py size: 879 sha: 888e89a66916ecc781d2b9c24c63057fce3e64b1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_priority_reset.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_priority_reset.py ## File: skills/multi-llm/tests/test_review_prompt_rules.py size: 20437 sha: 94dbf3f28411c8a9e6dc9f5fde210b9fee5feeda upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_prompt_rules.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_prompt_rules.py ## File: skills/multi-llm/tests/test_review_tasks_integration.py size: 42435 sha: 522e10b5e43872d20de6aa8ca7b3d0769cbda7df upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_tasks_integration.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_tasks_integration.py ## File: skills/multi-llm/tests/test_review_tasks_orchestrator.py size: 53397 sha: 84774c1471e794cb18790c150365a26a11911155 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_tasks_orchestrator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_review_tasks_orchestrator.py ## File: skills/multi-llm/tests/test_run_anchor_pinning.py size: 21069 sha: ea85ea23c950033ccbede803c13822cbb2ff9c4b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_run_anchor_pinning.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_run_anchor_pinning.py ## File: skills/multi-llm/tests/test_run_record_write_outcome.py size: 14999 sha: 07e2e488a383e0dfc6e20e2b326dc684f513816d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_run_record_write_outcome.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_run_record_write_outcome.py ## File: skills/multi-llm/tests/test_runner_catalog_roster.py size: 5313 sha: 82db8a6f523fb48f076c5ebc684e57ddbf0e30a7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_runner_catalog_roster.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_runner_catalog_roster.py ## File: skills/multi-llm/tests/test_runner_env_skill_venv.py size: 15006 sha: e2e22ed58b3243c0316a359794da3eb5fc5ac6a6 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_runner_env_skill_venv.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_runner_env_skill_venv.py ## File: skills/multi-llm/tests/test_salvage_text.py size: 45425 sha: f85574d3b510f1d6b409fe7837134e48c5c9a025 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_salvage_text.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_salvage_text.py ## File: skills/multi-llm/tests/test_sandbox_fallback_ladder.py size: 48643 sha: 0065256115bf1bb5ea2e27b9d9a24f39bc2cdd7e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_sandbox_fallback_ladder.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_sandbox_fallback_ladder.py ## File: skills/multi-llm/tests/test_sandbox_rung_reporting.py size: 29515 sha: c0f391de3b529f2e4e0f37cd3a312e399b562023 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_sandbox_rung_reporting.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_sandbox_rung_reporting.py ## File: skills/multi-llm/tests/test_sandbox_rung_retirement.py size: 18628 sha: 1e3bb23708c228a6b4dbf3d81d234b1410ffb04d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_sandbox_rung_retirement.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_sandbox_rung_retirement.py ## File: skills/multi-llm/tests/test_scenario_matcher_parity.py size: 47019 sha: 21fee3b88125cc395c3444992fc50222e364d57a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scenario_matcher_parity.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scenario_matcher_parity.py ## File: skills/multi-llm/tests/test_schema_validator.py size: 9389 sha: 7b683034df93108986cb7670cbe45f12bcdf9a99 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_schema_validator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_schema_validator.py ## File: skills/multi-llm/tests/test_scope_policy.py size: 18750 sha: 73d897c1bee57640a995897cce12b8e95919696f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy.py ## File: skills/multi-llm/tests/test_scope_policy_apply.py size: 55633 sha: f1d2b5529f71e07edf7e10cdc4b0c8e610a6c7e2 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy_apply.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy_apply.py ## File: skills/multi-llm/tests/test_scope_policy_cli.py size: 20991 sha: 06db889915b87b0867a51aa7e3d1aa5e4039acdb upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy_cli.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy_cli.py ## File: skills/multi-llm/tests/test_scope_policy_commit_doors.py size: 4387 sha: f683d25ea3eb7b6bd5359bee1c343bc179cc2ba5 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy_commit_doors.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy_commit_doors.py ## File: skills/multi-llm/tests/test_scope_policy_composites.py size: 22883 sha: f1a1400bc299ae19ed4f848066b9205d41172ec8 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy_composites.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy_composites.py ## File: skills/multi-llm/tests/test_scope_policy_default_compat.py size: 6425 sha: 2068515b03909ebcf4eb94ef159410a36a53dde1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy_default_compat.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy_default_compat.py ## File: skills/multi-llm/tests/test_scope_policy_leaf_modes.py size: 10233 sha: cd57e75ca639ff3de05b7da55c860f64d14bd2d5 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy_leaf_modes.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_policy_leaf_modes.py ## File: skills/multi-llm/tests/test_scope_prompts_and_validation.py size: 66992 sha: 3d892a6ea85078d7763158358a153a28b4bc36a8 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_prompts_and_validation.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_prompts_and_validation.py ## File: skills/multi-llm/tests/test_scope_report_tags.py size: 68743 sha: d4008dc7129d5000d4d9f491bfbfdb90b087682f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_report_tags.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_scope_report_tags.py ## File: skills/multi-llm/tests/test_selected_tasks_and_check_trees.py size: 9939 sha: 663ca4d8e70a427c2123e31e4e19dce2ef2c65c3 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_selected_tasks_and_check_trees.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_selected_tasks_and_check_trees.py ## File: skills/multi-llm/tests/test_served_model_reporting.py size: 29729 sha: 0b6f436388640386e538d2a1a3f7b344d30038cd upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_served_model_reporting.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_served_model_reporting.py ## File: skills/multi-llm/tests/test_shim_correctness.py size: 47235 sha: 40bab1f53fa121640ba4c09fd66d74cad37d4d48 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_shim_correctness.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_shim_correctness.py ## File: skills/multi-llm/tests/test_shim_dispatcher_call_form.py size: 2818 sha: dd98059e6f5eb55c3585008fa3d59d9315307e7e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_shim_dispatcher_call_form.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_shim_dispatcher_call_form.py ## File: skills/multi-llm/tests/test_sort_integration.py size: 15921 sha: cc8255e5bdc449445082cef30e2a402fd3d57e39 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_sort_integration.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_sort_integration.py ## File: skills/multi-llm/tests/test_sorting.py size: 26584 sha: c7e40e078477de97ac1e1bd430cd950ab5aa90de upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_sorting.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_sorting.py ## File: skills/multi-llm/tests/test_state_manager_decisions.py size: 44409 sha: 8f6d5d2d3dcbedc7e281c800fbc7dbe67f1b988f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_state_manager_decisions.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_state_manager_decisions.py ## File: skills/multi-llm/tests/test_state_tracking.py size: 13620 sha: d5baf9aa8b8ed0574acac91c9ae4a333b0cdda72 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_state_tracking.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_state_tracking.py ## File: skills/multi-llm/tests/test_status_after_a_stop.py size: 10234 sha: b543212e7b262427137f8e1911c24f7cf6620bbe upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_after_a_stop.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_after_a_stop.py ## File: skills/multi-llm/tests/test_status_after_switching_to_native.py size: 13640 sha: 446b7f6d69cf40cd022fb1f6db4a95df64095ffa upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_after_switching_to_native.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_after_switching_to_native.py ## File: skills/multi-llm/tests/test_status_file.py size: 26477 sha: 17edd8e4d847d57375f87e6b5cea9b9f79be5722 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_file.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_file.py ## File: skills/multi-llm/tests/test_status_native_stop_head.py size: 14401 sha: 59bf5d2dab99c8cabb76a9e4612551275b88e5c5 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_native_stop_head.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_native_stop_head.py ## File: skills/multi-llm/tests/test_status_phase_dirs.py size: 7017 sha: 9ab386b5d2c2f449387344521e94ebef5ac60b91 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_phase_dirs.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_run_view_every_leg.py ## File: skills/multi-llm/tests/test_status_tallies_every_task.py size: 4939 sha: 4450e6cdbac8d6e5e5293b571418d7e4118dd2be upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_tallies_every_task.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_tallies_every_task.py ## File: skills/multi-llm/tests/test_status_why_punctuation.py size: 7555 sha: 73dac67cafbe78b58807ab464d0b7200b65b6a08 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_status_why_punctuation.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_strict_schema_subset.py ## File: skills/multi-llm/tests/test_structured_output.py size: 44498 sha: 89eb6e53f83226bf071cb99e0267255f52dafa50 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_structured_output.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_structured_output.py ## File: skills/multi-llm/tests/test_stub_scripted_tool_call.py size: 36233 sha: fe23e7285d044f5f5d6241d54da7a01679b17b71 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_stub_scripted_tool_call.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_summary_lists_unapplied_items_apart.py ## File: skills/multi-llm/tests/test_task_decomposer.py size: 31517 sha: 824694176c495447cb6be75f6e7c69d498433c11 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_task_decomposer.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_task_decomposer.py ## File: skills/multi-llm/tests/test_task_file_resume_guard.py size: 7881 sha: 988f7ecf7defc6c3d51b5f51530653d43336457a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_task_file_resume_guard.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_task_file_resume_guard.py ## File: skills/multi-llm/tests/test_task_suggestion_counts.py size: 1137 sha: f91aef747357299f651d57bc91da54dd7e584b0a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_task_suggestion_counts.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_task_suggestion_counts.py ## File: skills/multi-llm/tests/test_tasks_graph_check.py size: 8941 sha: e86773c11aa1b6e731d26d7a5782e37ffa630098 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_tasks_graph_check.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_tasks_graph_check.py ## File: skills/multi-llm/tests/test_tests_line_leads_with_what_ran.py size: 20665 sha: bdf3f747b0978a7e7186fb19f58bec6024e6bdd7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_tests_line_leads_with_what_ran.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_tests_line_leads_with_what_ran.py ## File: skills/multi-llm/tests/test_tests_not_run_line_relayed_whole.py size: 1891 sha: b240124700aa57c8c478d8d1487c8aeca313d339 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_tests_not_run_line_relayed_whole.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_tests_not_run_line_relayed_whole.py ## File: skills/multi-llm/tests/test_text_clip.py size: 5156 sha: 103da8d6052462309dce6766f495d0b6418aabc4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_text_clip.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_text_clip.py ## File: skills/multi-llm/tests/test_timed_out_stop_wording.py size: 3543 sha: 4057c3c44e7171c5fe9cf04d6f5819a1f7a269ad upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_timed_out_stop_wording.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_timed_out_stop_wording.py ## File: skills/multi-llm/tests/test_tracking_write_integrity.py size: 1413 sha: ea756e40bd7f2e269a253e4a701670d2b73d8f23 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_tracking_write_integrity.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_tracking_write_integrity.py ## File: skills/multi-llm/tests/test_tui_transcript_rendering.py size: 6927 sha: afe13fc3df69f5f9b46437fe4344f3f885597d24 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_tui_transcript_rendering.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_tui_transcript_rendering.py ## File: skills/multi-llm/tests/test_unattended.py size: 65122 sha: a1dbf8e5b74a87e6cd5e62820d7139d6cae7daf9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_unattended.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_unattended.py ## File: skills/multi-llm/tests/test_unattended_e2e.py size: 19378 sha: 4546dfb18c816352a54df1c0b88ffe235933d8b0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_unattended_e2e.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_unattended_e2e.py ## File: skills/multi-llm/tests/test_update_plan_tasks.py size: 34325 sha: aee67c841fad5df9edfd998cc264fa9dd55533a3 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_update_plan_tasks.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_update_plan_tasks.py ## File: skills/multi-llm/tests/test_usage_reporting.py size: 43267 sha: ab73131908b7e304095484e173d7c8421799db39 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_usage_reporting.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_usage_reporting.py ## File: skills/multi-llm/tests/test_user_next_step_result.py size: 9792 sha: 396639cfec894a474f344410261c5bd920c6881d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_user_next_step_result.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_user_next_step_result.py ## File: skills/multi-llm/tests/test_uv_candidates.py size: 14423 sha: c3875fd079ef1570e5d7d7880ee516146a417312 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_uv_candidates.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_uv_candidates.py ## File: skills/multi-llm/tests/test_uv_project_flag.py size: 5840 sha: de97a89395e38ce6f2f2292c4811d71bf72d129b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_uv_project_flag.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_uv_project_flag.py ## File: skills/multi-llm/tests/test_validation_batch_binding.py size: 36703 sha: fa1ef568b5f70e9b871d2432c82137a421fcd30b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_batch_binding.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_batch_binding.py ## File: skills/multi-llm/tests/test_validation_batcher.py size: 11081 sha: a581aa34d096524ffe9828da45213c9fc4f8a91f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_batcher.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_batcher.py ## File: skills/multi-llm/tests/test_validation_context_by_path.py size: 46491 sha: 04530a7c750abe519912fb218fd99d377bc501d7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_context_by_path.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_group_id.py ## File: skills/multi-llm/tests/test_validation_recovery.py size: 25722 sha: 24f5b06d57e99aaef5a4f50c733b20f243e088c7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_recovery.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_recovery.py ## File: skills/multi-llm/tests/test_validation_reply_printed_once.py size: 5625 sha: c76d8b30d27f8c707b451cebe7cdc172b9566c46 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_reply_printed_once.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_reply_printed_once.py ## File: skills/multi-llm/tests/test_validation_subagent.py size: 30678 sha: ca47f27cd435aed16e32dfca924742f5d0929c82 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_subagent.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_subagent.py ## File: skills/multi-llm/tests/test_validation_subagent_orchestrators.py size: 19908 sha: 9212aceaaaee0dcb0b0e55a51a108ec63dfecf0f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_subagent_orchestrators.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_validation_subagent_orchestrators.py ## File: skills/multi-llm/tests/test_version_gate.py size: 35479 sha: 2691c7e0a8c68e20e350c12be759758e9bd817cb upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_version_gate.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_version_gate.py ## File: skills/multi-llm/tests/test_vibe_home_isolation.py size: 13446 sha: 4f856667b050cef673a4b1e3abd16d8be680cdf8 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_vibe_home_isolation.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_wakeup_check.py ## File: skills/multi-llm/tests/test_windows_lane_a_jobs.py size: 39310 sha: 6e0d6fea73cb4791cbe47ce920ca882e0f858ec5 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_windows_lane_a_jobs.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_windows_lane_a_jobs.py ## File: skills/multi-llm/tests/test_windows_run_jobs.py size: 48058 sha: 2a8c7d418c95bc9fc369737ad59b765a59f80d31 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_windows_run_jobs.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_workflow_prerequisites.py ## File: skills/multi-llm/tests/test_wrapper_env_contract.py size: 19799 sha: e4804abbab5a863b8abfe7945fa971bebe840b99 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_wrapper_env_contract.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_wrapper_env_contract.py ## File: skills/multi-llm/tests/test_write_batch_declined.py size: 55625 sha: f8c1123fdc561fc44f238eb317d308cf89c2c7d2 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_batch_declined.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_batch_declined.py ## File: skills/multi-llm/tests/test_write_batch_leaves_git_alone.py size: 2434 sha: e3f32e9d8cd44b14f938ac2c1e0f55e970e8c85a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_batch_leaves_git_alone.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_batch_leaves_git_alone.py ## File: skills/multi-llm/tests/test_write_executor.py size: 287950 sha: d90c2ae42d53cf03bd233dd4d7b343063c702239 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_executor.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_executor.py ## File: skills/multi-llm/tests/test_write_executor_orchestrators.py size: 94171 sha: 9911ea62f6647eb03d8e5ff7a1843bfa42243c55 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_executor_orchestrators.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_executor_orchestrators.py ## File: skills/multi-llm/tests/test_write_prompt.py size: 27404 sha: a10c0d401f4240432bd13bb5e0638381462e0803 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_prompt.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_prompt.py ## File: skills/multi-llm/tests/test_write_reply_prose_before_object.py size: 8472 sha: 7e9ce5e70fcf4a95aa3fc5bb5a7b907ff415bf85 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_reply_prose_before_object.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_reply_prose_before_object.py ## File: skills/multi-llm/tests/test_write_resume_verdicts.py size: 4143 sha: 55bc079b6277c4a84feec43cd58956d5b29541ba upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_resume_verdicts.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/tests/test_write_sweep_overlap.py ## File: skills/multi-llm/update_plan_tasks.py size: 15100 sha: 5da334d413177b20b4a9352d0f413dcad8fa2cb9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/update_plan_tasks.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/update_plan_tasks.py ## File: skills/multi-llm/utils/__init__.py size: 9185 sha: b1799216619d92708f56884ae16d28c06ee4f0f6 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/__init__.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/apply_output_helpers.py ## File: skills/multi-llm/utils/apply_path_helpers.py size: 728 sha: fa1d4a7a57550e20dbfdb3cc19f5941e6ec368e1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/apply_path_helpers.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/apply_path_helpers.py ## File: skills/multi-llm/utils/apply_selection_helpers.py size: 6919 sha: 011746fe19cc36dc149066e26ba907217fe40f54 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/apply_selection_helpers.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/apply_selection_helpers.py ## File: skills/multi-llm/utils/backup.py size: 1688 sha: ab5aa79cecd4064ba71fd9a50f9c8df5b721ce5e upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/backup.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/backup.py ## File: skills/multi-llm/utils/batch_done.py size: 86479 sha: 92720947d7a6cde5c9f2f8c219277cbc9a659225 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/batch_done.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/batch_done.py ## File: skills/multi-llm/utils/check_reply.py size: 10679 sha: 0ee7577a619b23b8dea7dc29f0638960a826a741 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/check_reply.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/check_reply.py ## File: skills/multi-llm/utils/check_tree.py size: 1244 sha: 736f7911bf875cbf54dd34c2e653acc0ad9e9deb upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/check_tree.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/check_tree.py ## File: skills/multi-llm/utils/cli_common.py size: 91263 sha: 51fa4b77ad96521087cb8e364a1c8dc48eb424a0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/cli_common.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/cli_common.py ## File: skills/multi-llm/utils/code_fix_batcher.py size: 32039 sha: 95b1372908ee047e3f16d12ae5abe2e18ab27e3b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/code_fix_batcher.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/code_fix_batcher.py ## File: skills/multi-llm/utils/codex_trust.py size: 13531 sha: d7c00503bffb96e6516a693308d9b1f95d7ed4b5 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/codex_trust.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/codex_trust.py ## File: skills/multi-llm/utils/commit_apply.py size: 75325 sha: e9381506a95248eb6c72e95bf14af15345d07a79 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/commit_apply.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/cline.py ## File: skills/multi-llm/utils/providers/codex.py size: 103184 sha: 6fb6eca13ed0470d9db5a208dddfe7ab7169c4ce upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/codex.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/codex.py ## File: skills/multi-llm/utils/providers/codex_stream_audit.py size: 31698 sha: 2a6a95b34d5433b58aa5c9ba7a6c703c2ebb8dbc upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/codex_stream_audit.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/codex_stream_audit.py ## File: skills/multi-llm/utils/providers/copilot.py size: 50167 sha: be508e6bc01deef9064e744c84eb77aacbc8faf3 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/copilot.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/copilot.py ## File: skills/multi-llm/utils/providers/cursor_agent.py size: 77526 sha: 0fffd14ccd8352bf54664a8a3c356f941108daf0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/cursor_agent.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/cursor_agent.py ## File: skills/multi-llm/utils/providers/fx.py size: 23089 sha: 2fbc0b2703b413333c6d0256659774a473dd06e1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/fx.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/fx.py ## File: skills/multi-llm/utils/providers/gemini.py size: 29317 sha: 5074d9affcca81acb9761a731b8d4f876e85ded5 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/gemini.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/gemini.py ## File: skills/multi-llm/utils/providers/goose.py size: 25314 sha: a5531d9396dc2191ebab0d604836e3d1082b0c05 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/goose.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/goose.py ## File: skills/multi-llm/utils/providers/grok.py size: 21195 sha: e96edab522dd99cb0d27eb3c6c708f4195668a49 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/grok.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/grok.py ## File: skills/multi-llm/utils/providers/kilocode.py size: 19001 sha: 1e88d71da86610c3fc279b5789c6c48d268b8e90 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/kilocode.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/kilocode.py ## File: skills/multi-llm/utils/providers/kimi.py size: 28566 sha: d8ad466258de6301bacbb2e8b41f3e06d8006241 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/kimi.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/kimi.py ## File: skills/multi-llm/utils/providers/muse.py size: 33883 sha: 680889573bfcbceab30d86f4079301c07a7e544d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/muse.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/muse.py ## File: skills/multi-llm/utils/providers/omp.py size: 86199 sha: 843ab8f5307b6e946c7d44ca3454c4044e5fc76d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/omp.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/omp.py ## File: skills/multi-llm/utils/providers/opencode.py size: 150534 sha: fd6e6b246992d99087a72ea1a8f88fb2c6d2b43b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/opencode.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/opencode.py ## File: skills/multi-llm/utils/providers/pi.py size: 53485 sha: c5197264ede6c1668e9bc92112fb8042ec5c962f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/pi.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/pi.py ## File: skills/multi-llm/utils/providers/pi_family_stream.py size: 22206 sha: 44677dacb15ddf33944a65b7a0ed094c2eeeb200 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/pi_family_stream.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/pi_family_stream.py ## File: skills/multi-llm/utils/providers/qwen_code.py size: 45922 sha: 765bedf623cb42b47c2a3e9f1b4d2008c26d9d72 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/qwen_code.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/qwen_code.py ## File: skills/multi-llm/utils/providers/result_envelope.py size: 16953 sha: a1fe2c4acbe7ce1f6eae90d4c72a3a3adede58fb upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/result_envelope.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/result_envelope.py ## File: skills/multi-llm/utils/providers/vibe.py size: 47273 sha: 6a9ad86575ab4897b53f48082adaf8679cdf1eda upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/vibe.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/providers/vibe.py ## File: skills/multi-llm/utils/readonly_audit.py size: 5432 sha: 4309fbb0549fc8dd3bf11d77c31a49368a2e020f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/readonly_audit.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/readonly_audit.py ## File: skills/multi-llm/utils/report_check.py size: 55339 sha: 8653e2c7b5e8264cc74874977439b8a5c79f35c4 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/report_check.py Content is not inlined in the catalog. 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Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/restore_batch.py ## File: skills/multi-llm/utils/result_files.py size: 20421 sha: 340fcf04a71af61ed870d32cf6b0c363e1fbf640 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/result_files.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/result_files.py ## File: skills/multi-llm/utils/retry_ladder.py size: 33836 sha: 05f7f115e2e660e2f3cb9367ca6cd290d30d2457 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/retry_ladder.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/retry_ladder.py ## File: skills/multi-llm/utils/review_orchestrator_base.py size: 423482 sha: 641116cbb1d7899a9c58951f8fb00bc7e53c843f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/review_orchestrator_base.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/review_orchestrator_base.py ## File: skills/multi-llm/utils/run_registry.py size: 10996 sha: a06a4d9ec2b7b784428ba3aecc1c4c4df260b616 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/run_registry.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/run_registry.py ## File: skills/multi-llm/utils/run_status.py size: 287573 sha: a18ea4a50c5dcf80c96d64fd1fe742b0c1779be9 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/run_status.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/run_status.py ## File: skills/multi-llm/utils/schema_validator.py size: 24432 sha: 06bafd2ea031339e3e301ec1e5ae98f156fa44b1 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/schema_validator.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/schema_validator.py ## File: skills/multi-llm/utils/scope_apply.py size: 29585 sha: 37c0c58af26e7045bf547a04a07a864fa3f3a387 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/scope_apply.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/scope_apply.py ## File: skills/multi-llm/utils/scope_policy.py size: 47370 sha: abde0c89391b7786422286bccbd7e1ea4f7e496f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/scope_policy.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/scope_policy.py ## File: skills/multi-llm/utils/scope_policy_runs.py size: 13876 sha: 376cb5dcaf5b55aa5a11bb0dfe1953a20a72209b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/scope_policy_runs.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/scope_policy_runs.py ## File: skills/multi-llm/utils/scope_report.py size: 21124 sha: 9a7dd417a4d18dc808d426bb5ede1dd61ec50ef7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/scope_report.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/scope_report.py ## File: skills/multi-llm/utils/scope_round.py size: 26271 sha: f1d0fb158e0d12493cda3898217494ec4858a726 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/scope_round.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/scope_round.py ## File: skills/multi-llm/utils/selection_migration.py size: 7758 sha: ad79717d04c5b26edd5007aca29736684404f974 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/selection_migration.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/selection_migration.py ## File: skills/multi-llm/utils/state_manager.py size: 105110 sha: 31bcec7c097c7b018ecd51751e9272708911b4c2 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/state_manager.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/state_manager.py ## File: skills/multi-llm/utils/status_file.py size: 26640 sha: 8d8f9b88c63d6dc90cea8d6a29d7140f27af58a7 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/status_file.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/status_file.py ## File: skills/multi-llm/utils/stream_bootstrap.py size: 4529 sha: 10632c162f986a260d199e1a5e305e93560367ed upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/stream_bootstrap.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/stream_bootstrap.py ## File: skills/multi-llm/utils/structured_output.py size: 34083 sha: d626ed0f52d10c9b02159fe9e3ab3d3cf96dbe6c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/structured_output.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/structured_output.py ## File: skills/multi-llm/utils/subagent_executor.py size: 519948 sha: c590e21c6140c935e077a005bd575db85301f300 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/subagent_executor.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/subagent_executor.py ## File: skills/multi-llm/utils/subagent_prompts.py size: 78221 sha: 96b7d685fa7dcd7d0f5c148371a1c01d7a204418 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/subagent_prompts.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/subagent_prompts.py ## File: skills/multi-llm/utils/subagent_tasks.py size: 49078 sha: a22a5b6b06c82714631e874e1f4f78e391d16e2b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/subagent_tasks.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/subagent_tasks.py ## File: skills/multi-llm/utils/suggestion_batcher.py size: 16967 sha: f30c0dfa1094e591e8af63bdb2383edaf5d99435 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/suggestion_batcher.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/suggestion_batcher.py ## File: skills/multi-llm/utils/suggestion_processor.py size: 34767 sha: 215c1f10c29fc65cbe63acb250f5aee849463577 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/suggestion_processor.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/suggestion_processor.py ## File: skills/multi-llm/utils/task_decomposer.py size: 37341 sha: 96cad5082ec0a5aae413bb27e159bb11066288b0 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/task_decomposer.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/task_decomposer.py ## File: skills/multi-llm/utils/tasks_file.py size: 8206 sha: 3e7fecad6f5ae027cccae2ccb972a560d8e98f24 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/tasks_file.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/tasks_file.py ## File: skills/multi-llm/utils/tasks_graph_check.py size: 3928 sha: a474d0d385dd8f020a2c180d85d6824be2d63c2b upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/tasks_graph_check.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/tasks_graph_check.py ## File: skills/multi-llm/utils/text_clip.py size: 13636 sha: c094dbd9e0cbbbe74eeafe2568bfa6ea840bed75 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/text_clip.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/text_clip.py ## File: skills/multi-llm/utils/unattended.py size: 48956 sha: f475804e934c3992698d8454f1eae7b82fea56fe upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/unattended.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/unattended.py ## File: skills/multi-llm/utils/validation.py size: 155289 sha: d973ff95dc0e3bbe9bfafb563e46bf4d2293b49a upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/validation.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/validation.py ## File: skills/multi-llm/utils/validation_batcher.py size: 7162 sha: 03a0aecd413667c592f9722c9b1ce7d204e78efa upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/validation_batcher.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/validation_batcher.py ## File: skills/multi-llm/utils/validation_context.py size: 11854 sha: 2251c7e78214671a89117aa35395084e2b51953f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/validation_context.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/validation_context.py ## File: skills/multi-llm/utils/wakeup_check.py size: 18305 sha: 5edc863e07e2734045b866927689c6de56b8e089 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/wakeup_check.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/wakeup_check.py ## File: skills/multi-llm/utils/write_batch_scheduler.py size: 746368 sha: 7e21d87eaeb790e87324c14ee4ec00180ba7747d upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/write_batch_scheduler.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/write_batch_scheduler.py ## File: skills/multi-llm/utils/write_phase_bridge.py size: 17611 sha: 9b437f15f6fad4bd15e1a14cad8e74b6b3ac499c upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/write_phase_bridge.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/write_phase_bridge.py ## File: skills/multi-llm/utils/write_prompt.py size: 49773 sha: d1e23d53daf7a9361315c7d06f20357dcabc929f upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/write_prompt.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/write_prompt.py ## File: skills/multi-llm/utils/write_safety.py size: 117901 sha: b15b5bf3c9a4845df39e97ba047f5de8c0079de8 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/write_safety.py Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/utils/write_safety.py ## File: skills/multi-llm/uv.lock size: 157376 sha: 18990dd340ccd08e336efb3abe41b40688e92428 upstream: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/uv.lock Content is not inlined in the catalog. Read the upstream file: https://github.com/beastlabai/multi-llm-plugin/blob/master/skills/multi-llm/uv.lock