The definitive resource for Agent Skills - modular capabilities revolutionizing AI agent architecture
SaferSkills independently audited awesome-agent-skills (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Curated resources for building and using Agent Skills.
<div align="center"> <a href="https://agentskills.io"> <img src="assets/cover-image.png" alt="Agent Skills" width="90%"> </a> </div>
Agent Skills are modular, standardized SKILL.md packages that give agents on-demand capabilities via progressive disclosure: lightweight metadata can load early, full instructions load only when relevant, and supporting resources are accessed when needed.
agent-skills · ai-agents · skill-md · progressive-disclosure · context-management.
If you are new to Agent Skills, start with these quick primers.
Concepts, comparisons, and explainers to build a solid mental model.
Platforms that support skills today, plus ready-to-use skill catalogs.
#### Top Picks
#### Popular Collections
/learn installer.Guides and tools for authoring, validating, and distributing skills.
Evaluation frameworks and deeper technical reading.
Agent Skills are modular SKILL.md packages that provide on-demand capabilities without loading all knowledge up front.
Fine-tuning changes model weights, while skills provide runtime knowledge and workflows that you can update instantly.
Agent Skills focus on workflows and capabilities, while MCP focuses on secure, structured data and tool access.
See the How to Build Skills section for a step-by-step authoring guide.
Support varies by platform, but major tools include Claude (Claude.ai and Claude Code), OpenAI Codex, GitHub Copilot, Cursor, VS Code, and more.
If a platform does not support the format natively, you can often integrate skills via a loader or by adapting the SKILL.md instructions into that platform's prompt workflow.
Treat skills like code: review them before using, avoid installing from untrusted sources, and prefer audited skill libraries.
The most common approach is to version skills in Git (in a shared repo) and let your supported tools discover them from a standard directory.
Please read our contribution guidelines before submitting changes.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.