by ufo-ai · Codex Skill · ★ 100
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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. Full audit →
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 | 100 |
| Forks | 12 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 64/100 |
| Open Issues | 14 |
| Last Updated | 2026-10-21 |
| Created | 2026-09-27 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
Run AI agents for your team on your own infrastructure. The same runtime powers UFO's hosted service. Self-host · How it works · Use hosted · Security model · Extend it · Spec · Documentation · Blog Overview UFO is an open source runtime for AI agents. Team members give agents
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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: