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Open Skills Review (Find Skill You Can Trust)

License: MIT Skills Databases Agent Skills Works with LinkedIn

OpenSkillsReview Header

Create Your Own Skill: Anthropic Skills & OpenAI Skills

Review Table for Skills-Source

Rank Name & URL Approx. # Skills Review Stars Access Methods
πŸ₯‡ skills.sh 89,200+ β­β­β­β­β˜† Web, CLI
πŸ₯ˆ clawhub.ai/skills 28,304+ β­β­β­β˜†β˜† Web
πŸ₯‰ Agent Skills Directory 1,036,455+ β­β­β­β˜†β˜† Web
...
10 K-Dense-AI/scientific-skills 170+ β­β­β­β­β˜† GitHub
Show more skills source
Rank Name & URL Approx. # Skills Review Stars Skill Discovery Access
4 SkillsMP 530,778+ β­β­β­β˜†β˜† Web
6 agentskill.sh 106,000+ β­β­β­β˜†β˜† Web, CLI
7 AgentSkills 24,000+ β­β­β­β˜†β˜† Web
8 LobeHub 223,626+ β­β­β­β˜†β˜† Web
9 prompts.chat 35+ β­β­β­β˜†β˜† Web
11 MCP Market 62,236+ β­β­β˜†β˜†β˜† Web
12 agent-skills.cc 63,000+ β­β­β˜†β˜†β˜† Web
13 AwesomeSkill.ai 50,000+ β­β­β˜†β˜†β˜† Web
14 awesomeskills.dev 2,287+ β­β­β˜†β˜†β˜† Web
15 AgentSkillsHub 460+ β­β˜†β˜†β˜†β˜† Web
16 Awesome Claude Skills 125+ β­β˜†β˜†β˜†β˜† Web
17 Skill Registry 61+ β­β˜†β˜†β˜†β˜† Web

Human-verified skills

We also provide a collection of human-verified skills. Path: skills/<function-department>/

Skill for Skill-Creation

Skill Platform Source Verified(❓)
skill-creator-claude Claude Code OpenSkillsReview βœ…

skills/Skill-Creator/skill-creator-claude is a good practice reference for skill creation and works best when combined with Claude Code.

Skill for Skill-Search

Skill Platform Source Verified(❓)
find-skills skills.sh github.com/vercel-labs βœ…
skill-finder clawhub clawhub.ai/ivangdavila ❓
github-search-1.0.0 all OpenSkillsReview βœ…
Show more
Skill Platform Source Verified(❓)
skills-search skills.sh clawhub/Skills.sh Search ❓
skill-lookup prompts.chat github.com/f/prompts.chat ❓

Skill for Skill-Safe

Skill Platform Source Verified
skill-scanner openclaw, MCP github.com/bvinci1-design/skill-scanner βœ…
skill-review openclaw, MCP OpenSkillReview βœ…

Skill for Information

Skill Platform Source Verified(❓)
polymarket-market-data OpenSkillsReview github.com/OpenSkillsReview βœ…

Skill for Science

Skill Platform Source Verified(❓)
scientific-skills claude github.com/K-Dense-AI/claude-scientific-skills βœ…
academic-research all Imbad0202 βœ…
ClawBio openclaw ClawBio ❓
Show more
Skill Platform Source Verified(❓)
OpenClaw-Medical-Skills all OpenClaw-Medical-Skills ❓

Skill for Finance

Skill Platform Source Verified(❓)
binance-skills-hub all github.com/binance/binance-skills-hub βœ…
awesome-finance-skills all github.com/RKiding/Awesome-finance-skills ❓
open-fintech all github.com/ly229/OpenFinTech ❓

Goals

  • Review widely used Skills in the AI agent ecosystem, evaluating clarity, security, and reproducibility.
  • Provide runnable, testable Skill implementations along with precise requirements so agents can execute them confidently.
  • Maintain transparent, up-to-date documentation that makes it easy for contributors to submit new Skills or improvements.
  • Equip agents with the information they need to choose the right Skill for the situation, avoiding brittle or unverified shortcuts.

How It Works

  1. Identify a popular Skill (via telemetry, community request, or noted absence in the catalogue).
  2. Assess the existing implementation for testability, documentation, and reliability.
  3. Publish a verified version of the Skill, complete with automated checks, sandbox instructions, and usage notes.
  4. Keep the catalogue fresh by reviewing pull requests, monitoring regressions, and signaling when a Skill needs re-validation.

Contribution

  • Fork this repo, add or improve Skill reviews under skills/, and open a PR with your rationale plus reproducible tests.
  • Update the verification artifacts (tests, data files, fixtures) so future agents can re-run validation quickly.
  • When reviewing an existing Skill, document both strengths and potential failure modes so the agent community can make informed choices.

Reliability Practices

  • Every Skill entry must include a reproducible test suite or invocation script.
  • Clearly document required inputs, assumptions, and any external dependencies.
  • Track known limitations and alert maintainers when upstream changes impact behavior.

Marketplace data refresh

  • To keep the research report counts current, run python scripts/refresh_marketplace_counts.py from the repo root; it scrapes each marketplace home page for the latest counters and writes the results to data/marketplace_counts.json. Review the extracted entries, verify the matches, and copy any confirmed updates back into the report along with the new timestamp.

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