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Skill comparison

Compare agent skills before installing.

Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.

Comparing 1 skill

Use this as a shortlist, then open the skill detail page before adopting.

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Decision summary

PoC Research Papers is the strongest overall pick here because it has a 62/100 readiness score and fits Coding agents.

Strongest overall

PoC Research Papers

Prototype with this skill first; keep a fallback candidate ready.

Fastest prototype

PoC Research Papers

Best first install candidate based on install readiness and adoption.

Freshest repo

PoC Research Papers

Most recent maintenance signal among this shortlist.

SignalPoC Research Papers

Research papers on Proot-of-Concepts

Quality
63/100
Promising
Decision verdict
62/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

Adoption114 stars
0 installs
FreshnessFeb 3, 2026
Use-case fit
Coding agentsRAG and knowledgeGitHub automation
Stack fit
Coding review agentRAG knowledge base
Platform hintsResearch, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projects
OpenAgentSkill

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add MarkLee131/PoC-Research-Papers