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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

DINO is the strongest overall pick here because it has a 77/100 readiness score and fits RAG and knowledge.

Strongest overall

DINO

Shortlist this skill and compare it with close alternatives before production adoption.

Fastest prototype

DINO

Best first install candidate based on install readiness and adoption.

Freshest repo

DINO

Most recent maintenance signal among this shortlist.

SignalDINO

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

Quality
75/100
Strong
Decision verdict
77/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

Adoption2.8K stars
0 installs
FreshnessJul 31, 2024
Use-case fit
RAG and knowledgeGitHub automationCoding agents
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 IDEA-Research/DINO