agi-farm

agi-farm is a skill for Claude Code, Codex from LeoYeAI/openclaw-master-skills. It costs 144 tokens per session (4,757 once invoked), scanned A, original, MIT.

An interactive setup wizard for building a multi-agent AI team on OpenClaw. It creates agents, their personas, communication channels, scheduled jobs, task dispatching, and a portable GitHub bundle.

In plain words
What is it for?
Use it to configure a team, check its status, rebuild its workspace, dispatch tasks, open an operations dashboard, and export the setup to GitHub.
Why use it?
It removes much of the repeated setup needed to coordinate several AI agents as one team.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to configure a team, check its status, rebuild its workspace, dispatch tasks, open an operations dashboard, and export the setup to GitHub.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leoyeai/openclaw-master-skills/agi-farm
About the project

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.

LeoYeAI/openclaw-master-skills · 2,141 stars · on GitHub · myclaw.ai

Install

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.

Any agent
npx skills add LeoYeAI/openclaw-master-skills --skill agi-farm
Clone the repo
git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for agi-farm

README.md
[![agentmods](https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/agi-farm/github.svg)](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/agi-farm)
Your own site
<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.

agentmods 80×15 button for agi-farm

Your own site · 80×15
<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>
Per session 144 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,757 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. ✓ AI security review Sonnet 5 · 6 Sept 2026 📄 Read the review Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
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.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 9d ago against content hash 43638326d334, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 9 executable files (auto-dispatch.py, dashboard-react/dist/assets/index-CN6oMpnV.js, dashboard-react/eslint.config.js, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/agi-farm/SKILL.md · 437 lines

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

Read the full file on GitHub · 437 lines

Files

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.

Changes

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.

  1. 9d ago First seen · 437 lines · 144 tokens per session scan E 43638326d334

Subscribe to this mod's changes

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.