by mukul975 · MCP Server · ★ 31.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Claude Code Skills
npx skills add mukul975/Anthropic-Cybersecurity-Skills
/plugin marketplace add mukul975/Anthropic-Cybersecurity-SkillsTaken from the project's README on GitHub. Check the security audit before running it.
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. 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.
One of 36 tools we ran end to end on the same task for our Claude Code Skills page (2026-10-11).
Result: Every one of its 818 skills ships a scripts folder. Read a skill's scripts before you let an agent run it. · 818 distinct skills · 100% meet the format · installed whole, most skills are listed by name only
| Stars | 31,796 |
| Forks | 3,832 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68/100 |
| Open Issues | 50 |
| Last Updated | 2026-08-31 |
| Created | 2026-02-25 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~15k |
734+ cybersecurity skills for AI agents · agentskills.io open standard Warning: Community Project -- Not affiliated with Anthropic PBC. This is an independent, community-created collection. "Anthropic" in the repository name refers to the agentskills.io standard compatibility, not official Anthropic affiliation. The largest open-source collection of cybersecurity skills for AI agents.
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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: