awesome-ai-agent-skills: A curated list of essential skills, tools, and resources for building and enhancing advanced AI agents

by thienanblog · Agent Tool · ★ 69

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

How to install awesome-ai-agent-skills

/plugin marketplace add thienanblog/awesome-ai-agent-skills
/plugin install documentation-skills@awesome-ai-agent-skills

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

Security audit verdict: SAFE · quality 70/100

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

Stars69
Forks24
LanguageShell
CategoryAgent Tool
LicenseApache-2.0
Quality Score70/100
Open Issues5
Last Updated2026-10-01
Created2025-12-20
Platformscli
Est. Tokens~12k

About awesome-ai-agent-skills

Awesome AI Agent Skills A community-shared collection of reusable skills for AI coding agents. Works with Claude Code, Cursor, Kilo Code, Windsurf, OpenAI Codex, and any AI tools that support skills or custom instructions. What are Skills? Skills are self-contained instruction sets that teach AI agents specific workflows, guidelines, or capabilities.

Compatible Skills

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

  • MyAgents_skills — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)

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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 Agent Tool tools