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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

Nano World Model is the strongest overall pick here because it has a 93/100 readiness score and fits GitHub automation.

Strongest overall

Nano World Model

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Nano World Model

Best first install candidate based on install readiness and adoption.

Freshest repo

Nano World Model

Most recent maintenance signal among this shortlist.

SignalNano World Model

A Minimalist, Batteries-included Repository for Advancing World Model Science.

Quality
82/100
Strong
Decision verdict
93/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption619 stars
0 installs
FreshnessJun 15, 2026
Use-case fit
GitHub automationDesign and creativeCoding agents
Stack fit
Coding review agentContent growth agent
Platform hintsPython, Video Generation, Claude Code
WarningsNo OpenAgentSkill engagement data yet
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
Best forGitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals
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 simchowitzlabpublic/nano-world-model