by aurorainfra · AI Tool · ★ 59
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Flagged: sudo usage. 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 | 59 |
| Forks | 1 |
| Language | Go |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 66/100 |
| Last Updated | 2026-10-02 |
| Created | 2026-09-24 |
| Platforms | go |
| Est. Tokens | ~17k |
grev Unix filters that ask questions instead of matching patterns. The tools run on TypeSafe's Jev models, which answer typed questions with calibrated probabilities instead of generating text. That's why these tools behave like , or : output is always your input. Labels and scores appear only as explicit columns. A few thousand lines cost fractions of a cent and take seconds.
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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: