cybersecurity-skills: Cybersecurity skills for AI coding agents (Claude Code, Cursor, Codex)

by briiirussell · Codex Skill · ★ 409

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install cybersecurity-skills

npx skills add briiirussell/cybersecurity-skills --list
npx skills add briiirussell/cybersecurity-skills

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

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.

Quick Facts

Stars409
Forks55
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score65/100
Open Issues1
Last Updated2026-05-27
Created2026-03-13
Platformsclaude-code, codex, node
Est. Tokens~24k

About cybersecurity-skills

Cybersecurity Skills for AI Agents A collection of cybersecurity skills for AI coding agents. The AI does the heavy lifting; you bring the context about your stack and your priorities. Built to be useful at every experience level: Security engineers and pentesters running formal audits — concrete grep patterns, OWASP / NIST / ATT&CK alignment, report templates that pass auditor review Developers...

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How this security grade is produced

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:

View on GitHub → Browse Codex Skill tools