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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

Cloud Map Evaluation is the strongest overall pick here because it has a 68/100 readiness score and fits GitHub automation.

Strongest overall

Cloud Map Evaluation

Prototype with this skill first; keep a fallback candidate ready.

Fastest prototype

Cloud Map Evaluation

Best first install candidate based on install readiness and adoption.

Freshest repo

Cloud Map Evaluation

Most recent maintenance signal among this shortlist.

SignalCloud Map Evaluation

[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.

Quality
69/100
Promising
Decision verdict
68/100
Prototype first

Prototype with this skill first; keep a fallback candidate ready.

Adoption473 stars
0 installs
FreshnessMar 22, 2026
Use-case fit
GitHub automationCoding agentsRAG and knowledge
Workflow fit
Content growth agentCoding review agent
Platform hintsC++, Robotics, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best for
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
GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects
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 JokerJohn/Cloud_Map_Evaluation