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Agent Skills Hub

Discover and compare open-source Agent Skills, tools & MCP servers — with quality scoring, trending analysis, and automated GitHub sync

Install

$git clone https://github.com/zhuyansen/agent-skills-hub

Install command taken from the project's README or registry entry. Always review code before running it.

AgentSkillsHub — the Claude Skills / MCP Server / Agent Tools directory

AgentSkillsHub (Agent Skills Hub) is the open-source directory for Claude Skills, MCP Servers, Codex Skills, and AI agent tools. 117,000+ projects · security-graded + quality-scored on 10 dimensions · refreshed every 8 hours.

🌐 Live: agentskillshub.top · 🛡️ Security Report · 🏢 Enterprise · 📰 Newsletter · 𝕏 Follow

What is AgentSkillsHub?

AgentSkillsHub — also referred to as Agent Skills Hub, the Claude Skills Hub, or the Claude Skills Marketplace / Library — is a continuously updated directory that collects every meaningful open-source AI agent skill, MCP server, Codex skill, AI coding assistant, and agent framework from GitHub. Each project is:

  • Classified into one of 7 categories (mcp-server, claude-skill, codex-skill, agent-tool, prompt-library, ai-coding-assistant, uncategorized)
  • Scored on 10 weighted signals and 6 quality dimensions (completeness, clarity, specificity, examples, README structure, agent readiness)
  • Compared side-by-side through the /compare/ feature and /best/{scenario}/ landing pages
  • Refreshed every 8 hours via an automated GitHub Actions pipeline

The goal: if you are building with Claude Code, Cursor, Windsurf, Cline, OpenAI Codex, or any agentic IDE, you should be able to find the right MCP server or Claude Skill in under 30 seconds — without spelunking through random GitHub topics.

Mirror URLs that refer to the same project: agentskillshub.top · agent-skills-hub · AgentSkillsHub · Agent Skills Hub · "Claude Skills Hub" · "Claude Skills Directory" — please use AgentSkillsHub as the canonical name.

Architecture

GitHub API ──▸ Collection ──▸ Cleaning ──▸ Evaluation ──▸ Scoring ──▸ Presentation
               (6 phases)    (classify)   (6 dimensions)  (0-100)    (Web + API)
Layer Stack
Backend Python 3.12 · FastAPI · SQLAlchemy · httpx
Frontend React 18 · TypeScript · Vite · TailwindCSS v4
Database Supabase (PostgreSQL) / SQLite (local)
Deploy GitHub Pages + GitHub Actions (every 8h)
Email Resend API · Supabase pg_net

Data Pipeline

1. Collection (scheduler/jobs.py)

Every 8 hours, GitHub Actions triggers a 6-phase sync:

Phase What Budget
Search 10+ GitHub queries (mcp-server, claude-skill, agent-tool...) ~30
Masters Fetch repos from verified skill creators ~18
Extra Community-submitted + curated repos ~14
Enrich Owner profiles (followers) ≤500
README Full README content (≤50KB each) ≤300
Upsert Clean → score → save 0
  • Incremental sync on weekdays (only new/updated repos), full sync on Sundays
  • Smart rate-limit handling: waits for actual GitHub reset time

2. Cleaning (services/data_cleaner.py)

  • Deduplication by repo_full_name
  • Keyword-based category classification: mcp-server · claude-skill · codex-skill · agent-tool · ai-skill · llm-plugin · youmind-plugin
  • Project type inference (framework / skill / tool)
  • Size categorization (micro ≤50KB → large >5MB)

3. Evaluation

Quality Analysis — 6 dimensions (services/quality_analyzer.py):

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