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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

Jiminy is the strongest overall pick here because it has a 54/100 readiness score and fits Coding agents.

Strongest overall

Jiminy

Do a manual repository review before adding this to an agent workflow.

Fastest prototype

Jiminy

Best first install candidate based on install readiness and adoption.

Freshest repo

Jiminy

Most recent maintenance signal among this shortlist.

SignalJiminy

Jiminy: a fast and portable Python/C++ simulator of poly-articulated robots with OpenAI Gym interface for reinforcement learning

Quality
64/100
Promising
Decision verdict
54/100
Needs manual review

Do a manual repository review before adding this to an agent workflow.

Adoption295 stars
0 installs
FreshnessSep 5, 2025
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Machine Learning, Claude Code, OpenAI Agents
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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Build

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 duburcqa/jiminy