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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

Mobilegym is the strongest overall pick here because it has a 93/100 readiness score and fits Browser automation.

Strongest overall

Mobilegym

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Fastest prototype

Mobilegym

Best first install candidate based on install readiness and adoption.

Freshest repo

Mobilegym

Most recent maintenance signal among this shortlist.

SignalMobilegym

MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training

Quality
82/100
Strong
Decision verdict
93/100
Production-ready

Use this as a leading candidate, then validate the README and install path in your own agent stack.

Adoption637 stars
0 installs
FreshnessJun 20, 2026
Use-case fit
Browser automationRAG and knowledgeCoding agents
Stack fit
Browser QA agentRAG knowledge base
Platform hintsTypeScript, Automation, Claude Code, Browser agents
WarningsNo OpenAgentSkill engagement data yet
Best forBrowser automation 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 need a vendor-supported SLA · high-compliance environments without internal security review
OpenAgentSkill engagement0 views
0 install copies
Install
$ npx skills add Purewhiter/mobilegym