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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

Crnn Pytorch is the strongest overall pick here because it has a 42/100 readiness score and fits Document processing.

Strongest overall

Crnn Pytorch

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

Fastest prototype

Crnn Pytorch

Best first install candidate based on install readiness and adoption.

Freshest repo

Crnn Pytorch

Most recent maintenance signal among this shortlist.

SignalCrnn Pytorch

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

Quality
52/100
Needs review
Decision verdict
42/100
Needs manual review

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

Adoption394 stars
0 installs
FreshnessNov 6, 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
Best forDocument processing workflows · Claude Code teams · builders willing to evaluate younger projects
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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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PrivacyBuilt for agent-native discovery
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add Holmeyoung/crnn-pytorch