by squirrelscan · MCP Server · ★ 106
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add squirrelscan/skills
npx skills add squirrelscan/skills --skill audit-websiteTaken 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 | 106 |
| Forks | 10 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75/100 |
| Last Updated | 2026-11-04 |
| Created | 2026-01-07 |
| Platforms | browser, claude-code, codex, mcp, node |
| Est. Tokens | ~12k |
squirrelscan Skills & Plugins Website audits for AI agents: skills, plugins, and MCP in one repo What is squirrelscan? squirrelscan is a website audit tool built for AI agents. It crawls a site, analyzes every page against 260+ rules across SEO, performance, security, accessibility, content, and more, and returns a health score plus concrete, fixable issues.
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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: