by Berserk-hub150 · MCP Server · ★ 70
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Berserk-hub150/skillhawk.gitTaken 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 | 70 |
| Forks | 53 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 76 |
| Last Updated | 2026-11-05 |
| Created | 2026-08-16 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~15k |
SkillHawk Security scanner + hands-on lab for AI Agent Skills, and MCP configs Catch dangerous agent instructions before they touch your shell, files or credentials. 🧪 5-Minute AI Agent Security Challenge Can you repair an unsafe AI Agent Skill before SkillHawk catches it? Fork → edit in the browser → push → GitHub Actions grades you automatically.
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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: