Skill comparison
Compare agent skills before installing.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Face Recognition is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
Face Recognition
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Face Recognition
Best first install candidate based on install readiness and adoption.
Freshest repo
Face Recognition
Most recent maintenance signal among this shortlist.
| Signal | Sage For calculating global feature importance using Shapley values. | Shap A game theoretic approach to explain the output of any machine learning model. | Pytorch Lightning Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. | Face Recognition The world's simplest facial recognition api for Python and the command line |
|---|---|---|---|---|
| Quality | 76/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 75/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 292 stars Verified outcomes are shown on each skill page | 26K stars Verified outcomes are shown on each skill page | 31K stars Verified outcomes are shown on each skill page | 57K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 15, 2026 | Jun 15, 2026 | Jun 10, 2026 | Jun 25, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet |
| Best for | Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies | 0 views 0 install copies |
| Install | $ npx skills add iancovert/sage | $ npx skills add shap/shap | $ npx skills add Lightning-AI/pytorch-lightning | $ npx skills add ageitgey/face_recognition |