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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

Skin Burn Detection Classification is the strongest overall pick here because it has a 41/100 readiness score and fits GitHub automation.

Strongest overall

Skin Burn Detection Classification

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

Fastest prototype

Skin Burn Detection Classification

Best first install candidate based on install readiness and adoption.

Freshest repo

Skin Burn Detection Classification

Most recent maintenance signal among this shortlist.

SignalSkin Burn Detection Classification

Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model

Quality
51/100
Needs review
Decision verdict
41/100
Needs manual review

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

Adoption309 stars
0 installs
FreshnessJun 13, 2025
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Stack fit
Content growth agentCoding review agent
Platform hintsJupyter Notebook, Machine Learning, Claude Code
WarningsRepository looks stale · No OpenAgentSkill engagement data yet
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
Best forGitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects
Not ideal forteams that require actively maintained dependencies · production agents without a repository review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add Michael-OvO/Skin-Burn-Detection-Classification