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.
Decision summary
Dark Moon is the strongest overall pick here because it has a 76/100 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.
| Signal | Dark 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 | 77/100 Strong |
| Decision verdict | 76/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 408 stars Verified outcomes are shown on each skill page |
| Freshness | Jun 19, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, AI Agents, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add ASCIT31/Dark-Moon |