by y0usaf · Agent Tool · ★ 169
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.
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 | 169 |
| Forks | 16 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 74/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-31 |
| Created | 2026-09-16 |
| Platforms | node |
| Est. Tokens | ~7k |
pi-jev TypeSafe Jev as a decision layer for the Pi coding agent. Jev answers typed questions about a piece of state. Ask whether something is true and you get a probability. Ask it to pick from a list and you get the option plus a distribution over the alternatives. It does not write prose, so nothing here parses sentences. The answers arrive as numbers your code branches on. Three things use it.
These tools work well together with pi-jev for enhanced workflows:
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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: