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 | Autograph A machine learning library for Rust. | Nndl 邱锡鹏《神经网络与深度学习》(蒲公英书)理论书 v2 与通识版 | Burn Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability. | 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 | 51/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 41/100 Needs manual review Do a manual repository review before adding this to an agent workflow. | 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 | 334 stars 0 installs | 19K stars 0 installs | 15K stars 0 installs | 28K stars 0 installs |
| Freshness | Aug 19, 2024 | Jun 1, 2026 | Jun 15, 2026 | Jun 16, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Rust, Machine Learning, Claude Code | Machine Learning, Claude Code | Rust, Machine Learning, Claude Code | C++, Machine Learning, Claude Code |
| Warnings | Repository looks stale · 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 | GitHub automation 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 require actively maintained dependencies · production agents without a repository 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 charles-r-earp/autograph | $ npx skills add nndl/nndl | $ npx skills add tracel-ai/burn | $ npx skills add dmlc/xgboost |