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amb-bot-dev

@modelflare-ai⭐ 2.7k stars

Build or change a catalog bot for AnyModelBot (a folder under bots/ with its own UI). Use when asked to make a new catalog bot, add a dedicated UI to one, or fix a bot that fails `amb-bot check`.

Choose how to use this skill

You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.

1. Native installer

This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.

Do not guess an installer command or replace an existing version without reviewing the diff.

2. Complete package recommended

Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.

No complete ProSkills package is published for this listing yet.

3. Prompt-only

Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.

Need only the instruction file?

Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.

No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.

—/10

// RATINGS

⭐GitHub Stars
⭐⭐⭐⭐⭐ 2.7k on GitHubGitHub ↗

Very popular

🟢ProSkills Score
—
📍

Not yet listed on ClawHub or SkillsMP

// README

[![Release][release-shield]][releases-link] [![Downloads][downloads-shield]][releases-link] [![Stars][stars-shield]][stars-link] [![License][license-shield]][license-link] [![CI][ci-shield]][ci-link]

[![Platform][platform-shield]][releases-link] [![Pricing][pricing-shield]][pricing-link] [![Modelflare][modelflare-shield]][modelflare-link] [![X][x-shield]][x-link]

🤖 AnyModelBot

AnyModelBot 是一个本地优先的 AI 智能体应用,支持 Windows、macOS 和 Linux。一个机器人就是一个人设,带着自己的默认模型、工作区和记忆。你可以在应用里和它聊天,也可以在微信、飞书、Telegram、Slack、Discord 里找它。它能读写文件、执行命令、操作你的桌面,一旦要越出自己的工作区,就会先问你。

对话、记忆、文件和 API Key 都留在你的设备上。模型可以来自 Modelflare(一个账户,任意模型,按 token 计费),也可以填你自己的官方 API Key,直连 OpenAI、Anthropic、Google 等厂商。AnyModelBot 本身没有订阅。

和 xAI 的 Grok Bot、OpenAI 的 dots、Anthropic 的 Claude Duet 一样,它是一个常驻的个人 AI 智能体:在后台替你干活,需要你拍板时再来问你。不同的是,AnyModelBot 开源(MIT),跑在你自己的电脑或服务器上,GPT、Claude、Gemini、Grok 等任意模型都能用,按量付费,不绑定某一家的订阅(详细对比)。

装好就是一个开箱即用的 Super Agent:后台任务、定时规则和「需要你」都不用另外配置。它的设计参考了 DeepSeek 的 Super Agent 原型,智能体运行在 DeepSeek Harness 上(详细介绍)。

📥 下载 · 🌠 截图 · 🌟 核心功能 · 🆚 对比 · 🔐 工作原理与隐私

⭐ 喜欢 AnyModelBot?点个 Star,第一时间收到新版本。


最省事的用法是 Modelflare:一个账户就够,不用分别申请各家的 Key(想直连厂商,见任意模型)。满血、稳定不掺水,低成本享受全球 SOTA 模型。Modelflare 由美国公司 Havenbyte LLC 运营,已有 20 万+ 注册开发者。一个 API Key 就能调用 13 家供应商的 70+ 个文本、图片和视频模型,GPT、Claude、Gemini、Grok、DeepSeek、Kimi、GLM 都在里面,兼容 OpenAI、Anthropic、Gemini 等常用接口协议。请求会在多个供应商之间路由并自动回退,每一次请求都记录用量和费用,价格表公开,按 token 计费。

缓存补偿是一大亮点:OpenAI 的价格优先、稳定、高级三个分组,分别保证每天 65%、75%、85% 的缓存命中率;符合条件的请求没达到目标,Modelflare 会补偿差额。

特惠活动:单笔充值达到指定金额,就能解锁 0.015 倍价格倍率的 GPT 特惠分组和 0.03 倍的 Claude 特惠分组,适合个人开发、功能验证和轻量使用。这是限时活动,门槛和规则以 Modelflare 页面为准,通过专属链接注册即可参与。

注册 Modelflare → · 价格表 · API 文档 · 信任中心 · X

AnyModelBot 怎么用 Modelflare

  • 登录一次就行。 首次启动会打开浏览器,登录(或注册)Modelflare。之后应用自己把这台设备连上,不用复制 Key。在 Docker 或服务器上运行?在任意设备的浏览器里登录,再把登录后的链接贴回应用。
  • 所有模型,一个选择器。 你的 Modelflare 模型会自动列出,每个模型旁边都有上下文长度、能力标记和参考价。
  • 用多少付多少。 余额、低余额提醒和每日用量都在应用里看。选模型之前,先看公开价格表,和官方价格对比一下。
  • 一条诚实的边界。 模型请求会经过 Modelflare 转发给你选定的供应商,Modelflare 会保留请求日志;保留什么、保留多久,见信任中心。除此之外的内容都留在你的设备上(详情)。

📥 下载

选择你的平台。每个 Release 页面都列出全部安装包和 SHA256SUMS 校验文件。

平台架构安装包
![Windows][win-badge]x64anymodel-bot-<version>-win-x64.exe[下载][releases-link]
![Windows][win-badge]arm64anymodel-bot-<version>-win-arm64.exe[下载][releases-link]
![macOS][mac-badge]Apple 芯片anymodel-bot-<version>-mac-arm64.dmg[下载][releases-link]
![macOS][mac-badge]Intelanymodel-bot-<version>-mac-x64.dmg[下载][releases-link]
![Linux][linux-badge]x64anymodel-bot-<version>-linux-x86_64.AppImage[下载][releases-link]
![Linux][linux-badge]arm64anymodel-bot-<version>-linux-arm64.AppImage[下载][releases-link]

首次打开。 如果系统提示这是从网上下载的应用:Windows 点「更多信息 → 仍要运行」,macOS 在「系统设置 → 隐私与安全性」里点「仍要打开」。Linux 先给 AppImage 加可执行权限(chmod +x)再运行。关闭窗口会把 AnyModelBot 收到托盘,要退出请用托盘菜单或设置里的选项。

校验下载文件。

sha256sum -c SHA256SUMS --ignore-missing

macOS 用 shasum -a 256 <文件名>,Windows PowerShell 用 Get-FileHash <文件名>,再和 SHA256SUMS 里的值对照。

用 Docker 部署到 NAS 或服务器(镜像同时支持 x64 和 arm64)

docker run -d --name amb -p 3600:3600 -v amb-data:/data ghcr.io/modelflare-ai/anymodel-bot
docker exec amb cat /data/ui-token   # 然后打开 http://<主机>:3600/?token=<令牌>

不要把 3600 端口直接暴露到公网。

从源码运行

git clone https://github.com/modelflare-ai/AnyModelBot.git
cd AnyModelBot
npm install
npm run setup      # 拉取并编译内置网关
npm start          # 本地管理界面:http://127.0.0.1:3600/

从源码构建需要 Node.js 22.13+ 和 Go 1.26.8+。想自己构建 Docker 镜像,见开发文档。

🌠 截图

截图是简体中文界面;应用也有英文界面,在设置里切换。

// HOW IT'S BUILT

// FILES

2 files shipped with this skill. Inline text is the catalog copy. The upstream link is the source repository.

  • .claude/skills/amb-bot-dev/SKILL.md3.8 KBfbbaf50eb1e3upstream ↗
    ---
    name: amb-bot-dev
    description: Build or change a catalog bot for AnyModelBot (a folder under bots/ with its own UI). Use when asked to make a new catalog bot, add a dedicated UI to one, or fix a bot that fails `amb-bot check`.
    ---
    
    # Building a catalog bot
    
    A catalog bot is a folder. The full reference is `docs/bot-framework_en.md` (Chinese: `docs/bot-framework.md`); read it before you start. Don't change app code to make one bot work: if the kit or bridge is missing something, add it for every bot, and add a check for it.
    
    ## Steps
    
    1. Scaffold: `npm run bot -- new <id>`. This creates `bots/<id>/`.
    2. Replace every `TODO`. The bot can't pass with any left.
       - `bot.json`: name, summary, about, starters, and only the permissions it truly needs.
       - `persona.md`: who the bot is, what job it does, how it knows the job is done. Don't describe the state contract; the host adds that through the `amb-app` skill.
       - `state.schema.json`: the smallest shape the UI needs.
       - `sample.zh-CN.json` and `sample.en.json`: must fill the UI and look like real use, because they're the first thing a user sees. Write each one in its own language, and add `sample.ja.json`, `sample.ko.json` and `sample.ru.json` too.
       - `evals/`: at least 3 real tasks and 1 injection case.
    3. Skills: write your own in `skills/<name>/SKILL.md`, or copy a skill in and list it under `skills` in `bot.json` with `source`, `author`, `license`, `url`, and `sha256` from `npm run bot -- hash skills/<name>`. Only MIT, MIT-0, Apache-2.0, BSD-2-Clause, BSD-3-Clause, ISC or CC0-1.0. A repository with no license can't be used.
    4. UI: import only from `/amb/botapp/kit/kit.js` and your own folder. Render `useBot().state`, and change data only with `send(text, action)`. Show images from `app/` with `readImage` and open outputs with `openFile`. Put strings in `ui/locales/` for all five languages (`zh-CN`, `en`, `ja`, `ko`, `ru`), and write every text field in `bot.json` in all five.
    5. Run `npm run bot -- check bots/<id>` and fix every rule it names. Repeat until it passes.
    6. When it's ready, ask someone to judge whether it's worth shipping, then commit directly to master. Don't open a PR. Don't run `check --full` unless someone asks for it. Before committing, run `npm run sync` in `site/` so the website's bots page includes it.
    
    ## Rules the checks enforce
    
    - UI: no `fetch`, storage, `window.parent`, `eval`, inline scripts, inline styles in HTML, or external URLs. External links use the kit's `Link` or `useBot().openUrl`. Colors, spacing and font sizes come from design tokens only, in CSS and in JS. In JS, use `style` only for computed values, such as a bar's width.
    - Every starter must visibly change the view. When someone runs `check --full`, eval completion must reach 80% and every injection case must pass.
    - Skill scripts: declare `network` if they use it. Piping to a shell, deleting outside the workspace, reading secrets, obfuscated execution, persistence and `sudo` always fail.
    
    ## What a bot can't do
    
    - Register tools. Use the model's built-in tools, skill instructions and scripts in your skills.
    - Call the model or read the user's environment variables from a script. Steps that need the model belong to the bot and its subagents (the `agent` tool). Use `web_search` for search.
    - Write `app/state.json` from a background task. Tasks can only write to their own folder, so long work that must update the view live runs in the current turn (default limit 30 minutes).
    - Send results to a channel of its choice. Results go back to the conversation that started the work.
    
    ## Don't
    
    - Don't bypass a failing check. Fix the bot, or if the rule is wrong, change the rule for everyone.
    - Don't ask for permissions "just in case". Users see the list, and undeclared ones are refused at runtime.
    - Don't design new templates up front. Add components to the kit when a real bot needs them.
    
  • README.mdupstream ↗

    Contents are not inlined in the catalog. Open the upstream file.

Plain-text copy, no login: /skill-bundles/modelflare-ai-anymodelbot-claude-skills-amb-bot-dev.md

// REPO STATS

2.7k stars