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
Xgboost is the strongest overall pick here because it has a 100/100 readiness score and fits Sports analytics.
Strongest overall
Xgboost
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Xgboost
Best first install candidate based on install readiness and adoption.
Freshest repo
Xgboost
Most recent maintenance signal among this shortlist.
| Signal | Ml Hierarchical Confusion Matrix Neo: Hierarchical Confusion Matrix Visualization (CHI 2022) | Guess 🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web | Tfjs A WebGL accelerated JavaScript library for training and deploying ML models. | Xgboost Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow |
|---|---|---|---|---|
| Quality | 71/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 70/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 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 | 315 stars 0 installs | 7.1K stars 0 installs | 19K stars 0 installs | 28K stars 0 installs |
| Freshness | Mar 31, 2026 | Jun 11, 2026 | Jun 15, 2026 | Jun 16, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | TypeScript, Machine Learning, Claude Code | TypeScript, Machine Learning, Claude Code | TypeScript, Machine Learning, Claude Code | C++, 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 | 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 | 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 apple/ml-hierarchical-confusion-matrix | $ npx skills add guess-js/guess | $ npx skills add tensorflow/tfjs | $ npx skills add dmlc/xgboost |