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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

Sandboxd is the strongest overall pick here because it has a 98/100 readiness score and fits Coding agents.

Strongest overall

Sandboxd

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

Fastest prototype

Sandboxd

Best first install candidate based on install readiness and adoption.

Freshest repo

Sandboxd

Most recent maintenance signal among this shortlist.

SignalSandboxd

Self-hosted dev sandboxes with preview URLs. One command. No Kubernetes, perfect for coding agents and Saas factories

Quality
86/100
Excellent
Decision verdict
98/100
Production-ready

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

Adoption754 stars
0 installs
FreshnessJul 16, 2026
Use-case fit
Coding agentsGitHub automationSports analytics
Stack fit
Coding review agentContent growth agent
Platform hintsGo, AI Agents, Claude Code
WarningsNo major risk signals from current metadata
Best forCoding agents 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 engagement3 views
0 install copies
Install
$ npx skills add tastyeffectco/sandboxd