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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

Unravelsports is the strongest overall pick here because it has a 57/100 readiness score and fits Sports analytics.

Strongest overall

Unravelsports

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

Fastest prototype

Unravelsports

Best first install candidate based on install readiness and adoption.

Freshest repo

Unravelsports

Most recent maintenance signal among this shortlist.

SignalUnravelsports

The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meaningful information and actionable insights.

Quality
67/100
Promising
Decision verdict
57/100
Needs manual review

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

Adoption242 stars
0 installs
FreshnessJan 16, 2026
Use-case fit
Sports analyticsRAG and knowledgeCoding agents
Stack fit
RAG knowledge baseContent growth agent
Platform hintsPython, Sports Data, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forSports analytics 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 UnravelSports/unravelsports