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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

Attention Ocr.Pytorch is the strongest overall pick here because it has a 37/100 readiness score and fits Coding agents.

Strongest overall

Attention Ocr.Pytorch

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

Fastest prototype

Attention Ocr.Pytorch

Best first install candidate based on install readiness and adoption.

Freshest repo

Attention Ocr.Pytorch

Most recent maintenance signal among this shortlist.

SignalAttention Ocr.Pytorch

This repository implements the the encoder and decoder model with attention model for OCR

Quality
47/100
Needs review
Decision verdict
37/100
Needs manual review

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

Adoption358 stars
0 installs
FreshnessJun 3, 2021
Use-case fit
Coding agentsDocument processingGitHub automation
Workflow fit
Coding review agentContent growth 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
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 chenjun2hao/Attention_ocr.pytorch