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
Ngboost is the strongest overall pick here because it has a 100/100 readiness score and fits Sports analytics.
Strongest overall
Ngboost
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Ngboost
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 |
|---|---|
| Quality | 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. |
| Adoption | 1.9K stars 0 installs |
| Freshness | Jun 18, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Jupyter Notebook, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Sports analytics 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add stanfordmlgroup/ngboost |