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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

Fashion Detection is the strongest overall pick here because it has a 38/100 readiness score and fits Coding agents.

Strongest overall

Fashion Detection

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

Fastest prototype

Fashion Detection

Best first install candidate based on install readiness and adoption.

Freshest repo

Fashion Detection

Most recent maintenance signal among this shortlist.

SignalFashion Detection

Fashion Detection in the Wild (Deep Clothes Detector)

Quality
48/100
Needs review
Decision verdict
38/100
Needs manual review

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

Adoption495 stars
0 installs
FreshnessOct 9, 2021
Use-case fit
Coding agentsRAG and knowledgeWorkflow automation
Stack fit
Content growth agentCoding review agent
Platform hintsMATLAB, Computer Vision, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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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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OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add liuziwei7/fashion-detection