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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

GSCNN is the strongest overall pick here because it has a 53/100 readiness score and fits RAG and knowledge.

Strongest overall

GSCNN

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

Fastest prototype

GSCNN

Best first install candidate based on install readiness and adoption.

Freshest repo

GSCNN

Most recent maintenance signal among this shortlist.

SignalGSCNN

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

Quality
51/100
Needs review
Decision verdict
53/100
Needs manual review

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

Adoption938 stars
0 installs
FreshnessOct 23, 2023
Use-case fit
RAG and knowledgeCoding agentsWorkflow automation
Stack fit
RAG knowledge baseContent growth agent
Platform hintsPython, Computer Vision, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
Best forRAG and knowledge 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 require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add nv-tlabs/GSCNN