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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

Dark Moon is the strongest overall pick here because it has a 79/100 readiness score and fits Coding agents.

Strongest overall

Dark Moon

Shortlist this skill and compare it with close alternatives before production adoption.

Fastest prototype

Dark Moon

Best first install candidate based on install readiness and adoption.

Freshest repo

Dark Moon

Most recent maintenance signal among this shortlist.

SignalDark Moon

Autonomous AI pentesting engine performing continuous offensive security across web, cloud, AD and Kubernetes. Uses agentic reasoning, real exploit execution and attack path analysis to deliver proof-based vulnerabilities.

Quality
80/100
Strong
Decision verdict
79/100
Strong shortlist

Shortlist this skill and compare it with close alternatives before production adoption.

Adoption408 stars
0 installs
FreshnessJun 19, 2026
Use-case fit
Coding agentsBrowser automationGitHub automation
Stack fit
Coding review agentBrowser QA agent
Platform hintsPython, AI Agents, Claude Code
WarningsNo OpenAgentSkill engagement data yet
Best forCoding agents workflows · Claude Code teams · builders willing to evaluate younger projects
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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Build

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 ASCIT31/Dark-Moon