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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

OS Agent Survey is the strongest overall pick here because it has a 51/100 readiness score and fits Local desktop.

Strongest overall

OS Agent Survey

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

Fastest prototype

OS Agent Survey

Best first install candidate based on install readiness and adoption.

Freshest repo

OS Agent Survey

Most recent maintenance signal among this shortlist.

SignalOS Agent Survey

This is the repo for the paper "OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use" (ACL 2025 Oral).

Quality
61/100
Promising
Decision verdict
51/100
Needs manual review

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

Adoption485 stars
0 installs
FreshnessAug 16, 2025
Use-case fit
Local desktopBrowser automationCoding agents
Stack fit
Browser QA agentContent growth agent
Platform hintsComputer Use, Claude Code, Browser agents
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
Local desktop 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 OS-Agent-Survey/OS-Agent-Survey