OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add LeoYeAI/openclaw-master-skills --skill agi-farmgit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agi-farm)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agi-farm"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agi-farm/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agi-farm"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agi-farm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 10 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 186 Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
- high Supply Chain · line 351 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- medium Rogue Agent · line 69 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 150 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 198 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 278 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 363 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 429 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 362 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 363 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00144 | $0.04757 |
| Opus 5 | $0.00072 | $0.02379 |
| Sonnet 5 | $0.00029 | $0.00951 |
| Haiku 4.5 | $0.00014 | $0.00476 |
Grade A, and why
agi-farm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 437 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agi-farm
Builds a complete multi-agent AI team on OpenClaw. One wizard, full team.
Commands
| Command | What it does |
|---|---|
/agi-farm setup |
Full wizard — agents, workspace, crons, bundle, GitHub |
/agi-farm status |
Team health: agents, tasks, cron status |
/agi-farm rebuild |
Regenerate workspace from existing bundle (preserves edits) |
/agi-farm export |
Push bundle to GitHub |
/agi-farm dashboard |
Launch live ops room — see references/dashboard.md |
/agi-farm dispatch |
Run auto-dispatcher — see scripts/auto-dispatch.py |
/agi-farm setup
Ask one question at a time. Do not proceed until confirmed.
Step 1 — Team name
"What should we call your team? (e.g. NovaCorp, TradingDesk — default: MyTeam)"
Store as TEAM_NAME.
Step 2 — Orchestrator name
"What's your orchestrator's name? (default: Cooper)"
Store as ORCHESTRATOR_NAME.
Step 3 — Team size
"How many agents? 3 — Minimal: Orchestrator + Researcher + Builder 5 — Standard: adds QA + Content 11 — Full stack: complete AGI system (recommended)"
Store as PRESET.
Step 3.5 — Domain
"What domain? software / trading / research / general (default) / custom"
If custom: ask for one-phrase description. Store as DOMAIN.
Step 3.6 — Custom agents (PRESET 3 or 5 only)
"Add a custom agent? (yes/no, default: no)"
If yes, collect per agent: id, name, emoji, role, goal. Max 3 custom agents.
Append to roster in Step 7 with "template": "generic".
Step 4 — Frameworks
"Collaboration frameworks? autogen / crewai / langgraph / all / none"
Store as FRAMEWORKS list. all → ["autogen", "crewai", "langgraph"].
Step 5 — GitHub
"Create a GitHub repo for the bundle? yes / no"
Store as CREATE_GITHUB.
Step 6 — Confirm
Show summary, ask "Shall I proceed? (yes/no)". If no → restart Step 1.
Step 7 — Write team.json
What ships with it
44 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- _meta.json 275 B
- auto-dispatch.py 18 KB runs code
- dashboard-react/dist/assets/index-CN6oMpnV.js 662 KB runs code
- dashboard-react/dist/assets/index-DpgkYyr0.css 3.5 KB
- dashboard-react/dist/index.html 572 B
- dashboard-react/dist/vite.svg 1.5 KB
- dashboard-react/eslint.config.js 758 B runs code
- dashboard-react/index.html 474 B
- dashboard-react/package-lock.json 113 KB
- dashboard-react/package.json 637 B
- dashboard-react/public/vite.svg 1.5 KB
- dashboard-react/README.md 1.1 KB
- dashboard-react/src/App.css 606 B
- dashboard-react/src/App.jsx 3.2 KB
- dashboard-react/src/assets/react.svg 4.0 KB
- dashboard-react/src/components/AgentMiniCard.jsx 1.2 KB
- dashboard-react/src/components/Header.jsx 3.4 KB
- dashboard-react/src/components/LastUpdated.jsx 362 B
- dashboard-react/src/components/Nav.jsx 1.5 KB
- dashboard-react/src/components/tabs/Agents.jsx 4.0 KB
- dashboard-react/src/components/tabs/Alerts.jsx 5.3 KB
- dashboard-react/src/components/tabs/Broadcast.jsx 1.7 KB
- dashboard-react/src/components/tabs/Budget.jsx 5.3 KB
- dashboard-react/src/components/tabs/Comms.jsx 4.4 KB
- dashboard-react/src/components/tabs/Crons.jsx 9.1 KB
- dashboard-react/src/components/tabs/HITL.jsx 6.2 KB
- dashboard-react/src/components/tabs/Knowledge.jsx 4.7 KB
- dashboard-react/src/components/tabs/OKRs.jsx 2.6 KB
- dashboard-react/src/components/tabs/Overview.jsx 8.9 KB
- dashboard-react/src/components/tabs/Projects.jsx 41 KB
- dashboard-react/src/components/tabs/RD.jsx 5.5 KB
- dashboard-react/src/components/tabs/Tasks.jsx 9.7 KB
- dashboard-react/src/components/tabs/Velocity.jsx 5.0 KB
- dashboard-react/src/hooks/useDashboard.js 2.5 KB runs code
- dashboard-react/src/index.css 4.3 KB
- dashboard-react/src/main.jsx 229 B
- dashboard-react/vite.config.js 332 B runs code
- dashboard.html 57 KB
- dashboard.py 44 KB runs code
- generate.py 12 KB runs code
- README.md 8.8 KB
- references/dashboard.md 1.9 KB
- scripts/auto-dispatch.py 19 KB runs code
- scripts/register-crons.py 7.2 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 437 lines · 144 tokens per session scan E 43638326d334
agi-farm is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 144 tokens to every session and 4,757 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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Use when a Worker receives TASKASSIGNED, acknowledges the task, works inside shared/tasks/{task-id}/, submits with taskflow submittask, publishes deliverables through submittask, and reports TASKCOMPLETED or blockers in the Task room.
team-management
Use when admin requests creating a team, importing a team, managing team composition, adding/removing workers from a team, or delegating tasks to a Team Leader.
project-participation
Use when you are invited to a Project Room or assigned a task within a multi-worker project. Covers project plan reading, task coordination with other Workers, and git author config.
cocoharvest
Decompose an approved plan into parallel workstreams, assign specialist personas, classify stages as HITL or AFK (CocoLens), generate flow.json stages with checkpoints and dual-file state, and create per-stage prompt files. Includes adaptive parallelism, stall detection, shell identity injection, and consecutive…