awesome-agent-skills: Curated list of Agent Skills for AI coding agents like Claude Code, Codex and Cursor

by kodustech · Codex Skill · ★ 105

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

Security audit verdict: SAFE · quality 58/100

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.

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.

agent-frameworkagent-skillsai-agentsai-skillsautonomous-agentsawesome-listdeveloper-toolsllm

Quick Facts

Stars105
Forks120
CategoryCodex Skill
Quality Score58/100
Open Issues82
Last Updated2026-10-01
Created2026-01-07
Platformsclaude-code, codex
Est. Tokens~18k

About awesome-agent-skills

Awesome Agent Skills A curated list of agent skills for software engineering Maintainer Note: This list is curated and maintained by the engineering team at Kodus. We love open source and building better devtools.

Compatible Skills

These tools work well together with awesome-agent-skills for enhanced workflows:

  • ai-agent-skills — semantic(0.34)+complementary+rare_topics+similar_pop+shared_platform (51%)
  • skills — semantic(0.28)+complementary+rare_topics+similar_pop+shared_platform (49%)
  • ai-skills — semantic(0.25)+complementary+rare_topics+similar_pop+shared_platform (48%)

awesome-agent-skills alternative? Top 6 similar tools

Looking for a awesome-agent-skills alternative? If you're comparing awesome-agent-skills with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • OmoiOS by kivo360 · ⭐ 80

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  • auto-co-meta by NikitaDmitrieff · ⭐ 52

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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