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
IGR is the strongest overall pick here because it has a 38/100 readiness score and fits GitHub automation.
Strongest overall
IGR
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
IGR
Best first install candidate based on install readiness and adoption.
Freshest repo
IGR
Most recent maintenance signal among this shortlist.
| Signal | IGR Implicit Geometric Regularization for Learning Shapes |
|---|---|
| Quality | 48/100 Needs review |
| Decision verdict | 38/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 447 stars Verified outcomes are shown on each skill page |
| Freshness | Dec 9, 2021 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Computer Vision, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | GitHub automation workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add amosgropp/IGR |