by nicobailon · Agent Tool · ★ 112
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 112 |
| Forks | 12 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 5 |
| Last Updated | 2026-04-15 |
| Created | 2026-01-20 |
| Platforms | node |
| Est. Tokens | ~17k |
Pi Review Loop Automated code review loop for Pi coding agent. Repeatedly prompts the agent to review its own work until it confirms no issues remain. Agents make mistakes. They miss edge cases, introduce typos, forget error handling. Asking them to review their own code catches a surprising number of issues, but you have to remember to ask, and then ask again if they found something.
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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: