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
Google Research is the strongest overall pick here because it has a 100/100 readiness score and fits RAG and knowledge.
Strongest overall
Google Research
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Google Research
Best first install candidate based on install readiness and adoption.
Freshest repo
Ngboost
Most recent maintenance signal among this shortlist.
| Signal | Ngboost Natural Gradient Boosting for Probabilistic Prediction | CLIP CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image | Google Research Google Research | Shap A game theoretic approach to explain the output of any machine learning model. |
|---|---|---|---|---|
| Quality | 98/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 1.9K stars Verified outcomes are shown on each skill page | 34K stars Verified outcomes are shown on each skill page | 38K stars Verified outcomes are shown on each skill page | 26K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 18, 2026 | Mar 25, 2026 | Jun 16, 2026 | Jun 15, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Jupyter Notebook, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Jupyter Notebook, Machine Learning, Claude Code | Jupyter Notebook, 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 | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 stanfordmlgroup/ngboost | $ npx skills add openai/CLIP | $ npx skills add google-research/google-research | $ npx skills add shap/shap |