by firecrawl · Claude Skill · ★ 255
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin marketplace add firecrawl/firecrawl-claude-pluginTaken 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 | 255 |
| Forks | 38 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 74/100 |
| Open Issues | 6 |
| Last Updated | 2026-11-06 |
| Created | 2025-12-29 |
| Platforms | browser, claude-code, mcp |
| Est. Tokens | ~16k |
Firecrawl for Claude Firecrawl is the context API for AI agents. This plugin connects Claude to Firecrawl's hosted search tools to search the web, read the pages your searches find, look up Alexandria data providers for structured data, and research developer documentation, government publications, and scientific papers.
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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: