by marian2js · Codex Skill · ★ 425
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm i -g openclaw opengoat
docker run --rm -p 19123:19123 -v opengoat-data:/data/opengoat opengoat:latest
Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 425 |
| Forks | 54 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 6 |
| Last Updated | 2026-04-12 |
| Created | 2026-02-06 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~732k |
OpenGoat Build AI Autonomous Organizations of OpenClaw Agents. = 20.11" / OpenGoat allows you to build herarchical organizations of AI agents that coordinate work across multiple tools, including Claude Code, Codex, Cursor, GitHub Copilot CLI, Lovable, and more. Installation That's it. Open and start messaging Goat, your AI co-founder. Alternative: Docker bash docker build -t opengoat:latest .
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: