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Directory for Claude Skills, MCP servers, and agent tools
AgentSkillsHub collects open-source agent skills, MCP servers, Codex skills, and agent tools from GitHub, then scores and compares them. The backend handles sync, cleaning, and scoring, while the frontend presents search, trending, top-rated, and compare views.
Builders who are looking for reusable agent skills, MCP servers, or tools to add to their workflow.
You can find, compare, and rank agent-ready GitHub projects without digging through random search results.
What it does
Repository discovery and sync
Pulls projects from GitHub on a schedule and keeps the catalog updated every 8 hours.
Quality scoring
Scores each project across 10 weighted signals and 6 quality dimensions.
Classification and filtering
Sorts repos into agent skill and tool categories for browsing and search.
Trending and comparison views
Shows trending, rising, top-rated, and side-by-side compare pages.
API and web app
Exposes catalog data through FastAPI endpoints and a React frontend.
Submission and newsletter flows
Lets people submit repos and subscribe for updates.
How to get it
- 1Run
cd backend python3.12 -m venv venv && source venv/bin/activate pip install -r requirements.txt cp .env.example .env # Add GITHUB_TOKEN uvicorn app.main:app --reload
- 2Run
cd frontend npm install npm run dev
README
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) |
| 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):
| Dimension | Weight | Key Signals |
|---|---|---|
| Completeness | 15% | README size, license, description, stars |
| Clarity | 15% | Description quality, topics, naming |
| Specificity | 15% | Language, topic count, category, size |
| Examples | 12% | Code examples, commits, contributors |
| README Structure | 23% | Sections, code blocks, badges, TOC |
| Agent Readiness | 20% | API docs, config, install, MCP compliance |
Composite Score — 9 weighted signals (services/scorer.py):
| Signal | Weight | Method |
|---|---|---|
| Quality | 20% | 6-dimension aggregate |
| Stars | 18% | log₁₊ₓ normalization |
| Recency | 11% | Exponential decay e⁻⁰·⁰¹ᵈ |
| Forks | 10% | log₁₊ₓ |
| Commits | 10% | log₁₊ₓ |
| Issue Resolution | 10% | resolved / total |
| Momentum | 8% | Z-score star growth |
| Author Followers | 8% | log₁₊ₓ |
| Size Bonus | 5% | Smaller = higher |
Also: Platform Inference (17 platforms), Token Estimation, Composability (TF-IDF + 8-signal skill pairing).
4. Presentation
Dual-mode API client: Production uses Supabase PostgREST + RPCs directly; dev uses FastAPI backend.
Key optimizations:
get_landing_data()RPC replaces 7+ API calls- Database views:
v_trending,v_top_rated,v_rising, etc. - Full-text search via PostgreSQL tsvector + GIN index
- HTTP caching: 5min (trending) → 1hr (stats)
Quick Start
Backend
cd backend
python3.12 -m venv venv && source venv/bin/activate
pip install -r requirements.txt
cp .env.example .env # Add GITHUB_TOKEN
uvicorn app.main:app --reload
Frontend
cd frontend
npm install
npm run dev
API Endpoints
| Method | Path | Description |
|---|---|---|
| GET | /api/skills | Paginated list (search, filter, sort) |
| GET | /api/skills/{id} | Skill detail + compatible skills |
| GET | /api/trending | Star velocity leaders (7 days) |
| GET | /api/rising | New this week |
| GET | /api/top-rated | Highest scored |
| GET | /api/most-starred | Community classics (6+ months) |
| GET | /api/masters | Verified creators + org builders |
| GET | /api/landing | Bundled homepage data |
| GET | /api/stats | Summary statistics |
| GET | /api/feed.xml | RSS 2.0 feed |
| GET | /api/sitemap.xml | SEO sitemap (6,000+ URLs) |
| POST | /api/submit-skill | Submit a GitHub repo |
| POST | /api/subscribe | Newsletter signup |
Deployment
┌─────────── GitHub Actions ───────────┐
│ sync.yml (8h) · deploy.yml · newsletter.yml (Mon) │
└──────┬──────────────┬────────────────┬──┘
▼ ▼ ▼
Supabase GitHub Pages Resend API
(PostgreSQL) (React SPA) (Emails)
Environment Variables
GITHUB_TOKEN=ghp_xxx # GitHub API (required)
SUPABASE_DB_URL=postgresql:// # Production database
RESEND_API_KEY=re_xxx # Email service
ADMIN_TOKEN=sk-xxx # Admin API auth
SYNC_INTERVAL_HOURS=8 # Sync frequency
Docs
- Scoring Algorithm — Full scoring design
- System Architecture — Detailed pipeline reference
Community
Submit a tool: use the Submit Skill form on the homepage, or open an issue — community submissions land in the next 8-hour sync.
Discuss: GitHub Discussions — methodology questions, false-positive reports, and feature requests all welcome. Every verified false-positive report improves next month's numbers.
Contributors
Thanks to everyone who has submitted tools or data corrections:
@VictorVVedtion · @gregkonush · @kriptoburak · @nbeai
Submitted a tool that got indexed? Add this badge to your README:
[](https://agentskillshub.top)
Files in the repo
- .agents
- .claude
- .github
- .loopflow
- backend
- docs
- frontend
- memory
- ops
- supabase
- .gitignore
- CLAUDE.md
- CONTEXT.md
- README.md
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