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openclaw-oss-starter

Public-safe OpenClaw skill templates for local AI coordination workflows.

This repository contains reusable skills, mock/demo workflow examples, and public-safe operating templates. It intentionally excludes private runtime state, real credentials, internal group IDs, customer data, and project-specific internal execution logic.

Start here

• Use INSTALL.md for setup.
• Browse skills/ for public-safe AgentSkills.
• Use examples/ for copyable workflow patterns.
• Treat marketing/feishu/knowledge-base/ as sanitized templates, not live workspace state.

Project Pitch

This repository maintains a small, public-safe skill collection for local AI coordination. It combines reusable workflow templates, clear boundary docs, a Feishu knowledge-base starter pack, and ClawHub-published skills so the public repo can serve both as a reference implementation and as a practical starting point for new workflows.

Snapshot

Application Summary

This repository is a public-safe OpenClaw skill collection for local AI coordination workflows.

At a glance:

• family-homework-pomodoro: parent-confirmed homework coordination
• daily-task-checkin: simple task intake and reminder coordination
• practice-session-checkin: structured practice and follow-up coordination
• mac-multi-instance-deployment: generic Mac deployment and boundary setup
• public-safe Feishu coordination and structured ops message templates

Together, they show a reusable pattern for public-safe workflow templates that can be published, installed, and adapted without exposing private runtime state.

What this project solves

• public-safe local AI workflow templates
• OpenClaw-style multi-role coordination
• generic Mac multi-instance deployment layouts
• public-safe Feishu coordination and message structure patterns
• reusable skills for family, task, and reminder workflows

Who this is for

• Users running local AI workflows
• OpenClaw-style multi-instance setups
• Operators who need public-safe documentation patterns

What is included

• cron/codex_quota_autoswitch.sh: a small helper for switching agents when Codex quota is low
• generate_public_pack.sh: a release packaging helper for public-safe files
• validate_repo.sh: a minimal repo health check for public release readiness
• config/: a placeholder config template pack for local multi-instance setups
• references/instances.md: a quick index of the generic Mac multi-instance layout
• skills/mac-multi-instance-deployment/: the generic Mac multi-instance deployment skill
• examples/: a copyable minimal workflow example
• examples/pack_and_validate.sh: a runnable example that validates and builds a public pack
• marketing/feishu/knowledge-base/README.md: a public-safe Feishu knowledge-base starter pack
• marketing/feishu/knowledge-base/36-public-safe-ops-message-templates.md: lightweight structured coordination framework
• INSTALL.md: a short install and usage guide
• skills/: public-safe skill examples

Public-safe guardrails

This repository includes reusable public-safe guardrails for public OpenClaw-style repositories:

• PUBLIC_SAFE_CHECKLIST.md — manual review checklist and scan patterns
• validate_repo.sh — local and CI validator
• .github/workflows/public-safe-validate.yml — GitHub Actions enforcement
• docs/public-safe/architecture.md — how detection, blocking, and PR comments work
• docs/public-safe/integration.md — how to copy the guardrail into a new repository
• docs/public-safe/rules.md — public-safe rule definitions

Run locally before publishing:

bash validate_repo.sh

A passing run prints:

Repository validation passed.

On pull requests, the workflow fails unsafe changes and posts a PR comment like:

## Public-safe validation failed

### Hit rules / risk lines
examples/bad.tmp.md:4:- fake token: ghp_EXAMPLE_PLACEHOLDER
examples/bad.tmp.md:5:- fake private path: /Users/example/private-test
FAIL public-safe sensitive scan

### How to fix
Replace real tokens, private local paths, internal IDs, and live workspace identifiers with placeholder/mock/example values.

Public-safe Skill Collection

This repository maintains a growing collection of public-safe OpenClaw skill templates for local coordination workflows.

These skills are designed to be:

• reusable
• privacy-safe
• easy to adapt
• suitable for local AI workflow experiments and OpenClaw-style automation

Current focus areas include:

• structured homework execution
• daily task check-ins
• practice session reminders
• Mac multi-instance deployment
• credit-safe Google Vertex AI setup
• public-safe Feishu knowledge-base and structured coordination templates
• confirmation-based task flows
• completion tracking and follow-up

Included Skills

Featured Entry Point

daily-task-checkin is the broadest starting point in this collection. It is the easiest skill to adapt when you want a public-safe workflow for reminders, check-ins, and lightweight local coordination.

Deployment Companion

mac-multi-instance-deployment is the deployment-focused companion template. It gives this repository a practical setup layer, not just a documentation layer.

Cloud Setup Companion

openclaw-vertex-credit-safe-setup is the cloud-setup companion template. It keeps first-time Vertex AI setup on a public-safe path with local-only credentials, one small verification request, and explicit billing checks so users with Google Cloud credits can configure OpenClaw to use Gemini through Vertex AI more safely, instead of leaving direct Gemini API charges behind when routing is wrong.

If that is your specific use case, start there first:

• confirm which Google Cloud project actually owns the credits
• keep Gemini on the google-vertex/... route
• run one tiny test and verify the Vertex AI billing line item before wider use

Project Positioning

This repository is intended as a public-safe skill collection for local AI coordination workflows.

It focuses on reusable patterns such as:

• task intake
• confirmation before execution
• reminder orchestr