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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

Vedastr is the strongest overall pick here because it has a 56/100 readiness score and fits Document processing.

Strongest overall

Vedastr

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

Fastest prototype

Vedastr

Best first install candidate based on install readiness and adoption.

Freshest repo

Vedastr

Most recent maintenance signal among this shortlist.

SignalVedastr

A scene text recognition toolbox based on PyTorch

Quality
54/100
Needs review
Decision verdict
56/100
Needs manual review

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

Adoption533 stars
0 installs
FreshnessSep 7, 2021
Use-case fit
Document processingCoding agentsRAG and knowledge
Workflow 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 · teams that value GitHub adoption signals
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
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add Media-Smart/vedastr