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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

FairScan is the strongest overall pick here because it has a 97/100 readiness score and fits Document processing.

Strongest overall

FairScan

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

FairScan

Best first install candidate based on install readiness and adoption.

Freshest repo

FairScan

Most recent maintenance signal among this shortlist.

SignalFairScan

An Android app to scan your documents — simple and respectful

Quality
86/100
Excellent
Decision verdict
97/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption735 stars
0 installs
FreshnessJul 14, 2026
Use-case fit
Document processingRAG and knowledgeCoding agents
Stack fit
RAG knowledge baseContent growth agent
Platform hintsKotlin, PDF, Claude Code
WarningsNo 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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DocsAbout OpenAgentSkillAPIllms.txtOpenAPICLICreator KitX Growth KitSubmitBlogGuidesActivity
OpenAgentSkill Registry
PrivacyBuilt for agent-native discovery
Not ideal forteams that need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add pynicolas/FairScan