by alexgreensh · MCP Server · ★ 196
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/alexgreensh/repo-forensics.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 | 196 |
| Forks | 28 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 69/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-23 |
| Created | 2026-02-27 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~18k |
That MCP server with 500 downloads. The Claude Code skill someone linked in Discord. The ClawHub extension your OpenClaw agent auto-installed. The npm package Cursor added to your lockfile. The Codex plugin you grabbed from GitHub. Did you vet any of them? Nobody does. The vetting step doesn't exist. 1,184 malicious skills found on ClawHub in one campaign.
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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: