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
PyNomaly is the strongest overall pick here because it has a 73/100 readiness score and fits Coding agents.
Strongest overall
PyNomaly
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
PyNomaly
Best first install candidate based on install readiness and adoption.
Freshest repo
PyNomaly
Most recent maintenance signal among this shortlist.
| Signal | PyNomaly Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1]. |
|---|---|
| Quality | 74/100 Strong |
| Decision verdict | 73/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 330 stars 0 installs |
| Freshness | Jun 16, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Machine Learning, 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 vc1492a/PyNomaly |