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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

Ocr Densenet is the strongest overall pick here because it has a 38/100 readiness score and fits Document processing.

Strongest overall

Ocr Densenet

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

Fastest prototype

Ocr Densenet

Best first install candidate based on install readiness and adoption.

Freshest repo

Ocr Densenet

Most recent maintenance signal among this shortlist.

SignalOcr Densenet

第一届西安交通大学人工智能实践大赛（2018AI实践大赛--图片文字识别）第一名；仅采用densenet识别图中文字

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

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

Adoption466 stars
0 installs
FreshnessMar 12, 2019
Use-case fit
Document processingCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Platform hintsPython, OCR, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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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
Document processing 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 yinchangchang/ocr_densenet