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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

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Decision summary

QD DETR is the strongest overall pick here because it has a 48/100 readiness score and fits GitHub automation.

Strongest overall

QD DETR

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

Fastest prototype

QD DETR

Best first install candidate based on install readiness and adoption.

Freshest repo

QD DETR

Most recent maintenance signal among this shortlist.

SignalQD DETR

Official pytorch repository for "QD-DETR : Query-Dependent Video Representation for Moment Retrieval and Highlight Detection" (CVPR 2023 Paper)

Quality
58/100
Promising
Decision verdict
48/100
Needs manual review

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

Adoption250 stars
0 installs
FreshnessAug 12, 2025
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Workflow fit
Coding review agentRAG knowledge base
Platform hintsPython, Computer Vision, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forGitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects
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 wjun0830/QD-DETR