AgentSkillsHub — Claude Skills Marketplace: 260,000+ AI Agent Tools, Every Popular One Security-Graded

Agent Skills Hub (AgentSkillsHub, at agentskillshub.top) is an open-source directory of 260,000+ AI agent skills, MCP servers and agent tools, refreshed from GitHub every 8 hours. Every popular entry is security-graded against 42 published rules; the main scenario pages add hands-on test runs; 15 of them have an open-source list on GitHub; and the full catalog is published as a citable dataset (DOI 10.5281/zenodo.21292799).

Browse by Category

Pick a category to jump straight to its ranked list. Every tool is filed by primary function. From MCP servers that extend AI coding agents to prompt libraries and full agent frameworks, find exactly what you need.

  • MCP Server — Model Context Protocol servers for AI agents
  • Claude Skill — Skills and plugins for Anthropic Claude
  • Codex Skill — Skills for OpenAI Codex agents
  • Agent Tool — General-purpose AI agent utilities
  • AI Skill — Cross-platform AI skills and plugins
  • LLM Plugin — Plugins and extensions for LLMs
  • AI Tool — Other open-source AI tools

Popular Scenarios

Scenario pages answer "what's the best tool for X?" with a ranked, evidence-backed shortlist. Each scenario page ranks tools by quality score, stars, and community activity to help you find the right solution for your use case.

Rising now

The repositories gaining stars fastest right now.

  1. morluto/rea — Reverse engineer anything with agents, from app behavior down to native binaries. (425,976 stars)
  2. obra/superpowers — An agentic skills framework & software development methodology that works. (311,698 stars)
  3. mattpocock/skills — Skills for Real Engineers. Straight from my .claude directory. (265,786 stars)
  4. anthropics/skills — Public repository for Agent Skills (184,498 stars)
  5. DietrichGebert/ponytail — Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote. (179,830 stars)
  6. github/spec-kit — 💫 Toolkit to help you get started with SDD or any other process! (146,427 stars)
  7. nextlevelbuilder/ui-ux-pro-max-skill — An AI skill that provides design intelligence for building professional UI/UX across multiple platforms. (144,210 stars)
  8. x1xhlol/system-prompts-and-models-of-ai-tools — FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, Noti… (143,957 stars)
  9. stablyai/orca — Orca is the place for working with a fleet of agents (e.g. Grok Bot, Claude Code). Run any coding agent with your own s… (114,250 stars)
  10. addyosmani/agent-skills — Production-grade engineering skills for AI coding agents. (112,517 stars)

Highest rated

The highest quality scores in the directory.

  1. PleasePrompto/notebooklm-mcp — MCP server for NotebookLM - Let your AI agents (Claude Code, Codex) research documentation directly with grounded, cita… (3,414 stars)
  2. github/spec-kit — 💫 Toolkit to help you get started with SDD or any other process! (146,427 stars)
  3. anthropics/skills — Public repository for Agent Skills (184,498 stars)
  4. PleasePrompto/notebooklm-skill — Use this skill to enable Claude Code to communicate directly with your Google NotebookLM notebooks. Query your uploaded… (7,771 stars)
  5. morluto/rea — Reverse engineer anything with agents, from app behavior down to native binaries. (425,976 stars)
  6. duty1g/x64dbg-mcp-server — x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functiona… (2,765 stars)
  7. cloudflare/security-audit-skill — A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings (10,187 stars)
  8. ComposioHQ/awesome-claude-skills — A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows (75,267 stars)
  9. nextlevelbuilder/ui-ux-pro-max-skill — An AI skill that provides design intelligence for building professional UI/UX across multiple platforms. (144,210 stars)
  10. anthropics/claude-code — Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster… (154,400 stars)

Most-starred MCP servers

The most-starred MCP servers in the directory.

  1. morluto/rea — Reverse engineer anything with agents, from app behavior down to native binaries. (425,976 stars)
  2. affaan-m/ECC — The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development… (294,956 stars)
  3. n8n-io/n8n — Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host… (209,451 stars)
  4. langgenius/dify — Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on c… (160,325 stars)
  5. open-webui/open-webui — User-friendly AI Interface (Supports Ollama, OpenAI API, ...) (157,612 stars)

Most-starred Claude skills

The most-starred Claude skills in the directory.

  1. anthropics/skills — Public repository for Agent Skills (184,498 stars)
  2. anthropics/claude-code — Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster… (154,400 stars)
  3. thedotmack/claude-mem — Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it… (111,059 stars)
  4. tt-a1i/archify — Turn any idea, plan, or codebase into a beautiful interactive diagram. An agent skill for Claude Code, Codex, and more. (93,070 stars)
  5. Egonex-AI/Understand-Anything — Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and… (89,634 stars)

Most-starred Codex skills

The most-starred Codex skills in the directory.

  1. openclaw/openclaw — The AI that really does things. Any OS. Any Platform. The lobster way. 🦞 (393,830 stars)
  2. NousResearch/hermes-agent — The agent that grows with you (260,144 stars)
  3. nextlevelbuilder/ui-ux-pro-max-skill — An AI skill that provides design intelligence for building professional UI/UX across multiple platforms. (144,210 stars)
  4. stablyai/orca — Orca is the place for working with a fleet of agents (e.g. Grok Bot, Claude Code). Run any coding agent with your own s… (114,250 stars)
  5. addyosmani/agent-skills — Production-grade engineering skills for AI coding agents. (112,517 stars)

Most-starred agent tools

The most-starred agent tools in the directory.

  1. obra/superpowers — An agentic skills framework & software development methodology that works. (311,698 stars)
  2. mattpocock/skills — Skills for Real Engineers. Straight from my .claude directory. (265,786 stars)
  3. Significant-Gravitas/AutoGPT — AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so th… (187,885 stars)
  4. ollama/ollama — Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (185,792 stars)
  5. DietrichGebert/ponytail — Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote. (179,830 stars)

Why AgentSkillsHub?

Agent Skills Hub is a security-graded directory of open-source AI agent skills and MCP servers — it answers "is this safe to install?" before you run a stranger's code inside your agent. It indexes 260,000+ GitHub repositories across MCP servers, Claude skills, Codex skills, AI coding assistants, and agent tools, and security-grades every skill with a fetched README — 127,000+ graded so far, including 99% of skills over 100 stars and 99% over 1,000, growing every 8 hours.

Quality Scoring

Every tool gets a 0–100 composite score across six dimensions: completeness, clarity, specificity, examples, README structure, and agent readiness. The score separates production-ready projects from experiments, so you can filter without reading 200 READMEs.

Security Grading & Sources

Every indexed repository carries a security grade — SAFE, CAUTION, UNSAFE, or UNAUDITED. 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.

The scale of the problem is documented in independent research. As Liu et al. (2026) report in their study of 31,132 agent skills:

"26.1% of agent skills contain security vulnerabilities."

— Liu et al., An Empirical Study of Agent Skill Security, arXiv:2601.10338 (2026)

Our own full-catalog census is published openly as a citable dataset: DOI 10.5281/zenodo.21292799 (CC-BY-4.0), mirrored on Hugging Face. The grading method is a first-layer rule-based scan, not a line-by-line human audit — its limits are documented in full on our methodology page.

Compare and Discover

Use the Compare feature to evaluate multiple tools side by side. The Skill Analyzer provides security grades and platform compatibility checks, helping teams make informed decisions about which open-source AI tools to adopt.

How It Works

Discovery is automated end to end: GitHub → scan → grade → publish, every 8 hours. Agent Skills Hub discovers tools from GitHub using multi-phase data collection. Each repository goes through search, enrichment, README analysis, and quality scoring. Our system tracks stars, forks, commit frequency, open issues, documentation quality, and community engagement to produce a single composite score. New tools appear within hours of being published. Developers can browse by category, search by keyword, filter by programming language, or explore curated scenario pages like browser automation, code review, and database management.

Stay Updated

One email a week, Mondays: the top 20 movers by star velocity. Subscribe for trending AI agent tools, new MCP servers, and top skill picks delivered to your inbox every Monday. Join thousands of developers who rely on AgentSkillsHub to stay current with the fast-moving AI agent ecosystem. Each issue features the top new tools of the week, star velocity rankings, and curated recommendations across all categories.

About the Editor

AgentSkillsHub is built and maintained by Jason Zhu (), an independent researcher tracking open-source AI agent ecosystems since 2024. Jason is also the author of the Blue Book of Agent Skills 2026, an in-depth analysis of the Claude Skills / MCP / Codex ecosystem published openly on GitHub.

The Hub runs as a solo project, designed to be transparent and reproducible: every scoring dimension is documented, every data snapshot is archived, and the entire source code is open under MIT on GitHub. The goal is not to rank skills by popularity alone, but to help developers find tools that are actually production-ready.

Editorial Methodology

Every indexed repository passes through a 6-phase pipeline running every 8 hours: GitHub search → metadata enrichment → README fetch → quality scoring (10 weighted dimensions) → category classification → composability analysis. No manual curation is applied to ranking — signals are purely data-driven to avoid editorial bias.

Daily reports of new skills and weekly trending lists are selected according to transparent rules documented in the repository. When human judgement is needed (such as for "Verified Creator" decisions), the reasoning and criteria are written down publicly, not hidden behind a pay-for-placement system.