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 | Rbdl RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics. | 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 | AutoHotkey AutoHotkey - macro-creation and automation-oriented scripting utility for Windows. | Ggml Tensor library for machine learning |
|---|---|---|---|---|
| Quality | 50/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 52/100 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 | 698 stars 0 installs | 28K stars 0 installs | 13K stars 0 installs | 15K stars 0 installs |
| Freshness | Jun 9, 2025 | Jun 16, 2026 | May 17, 2026 | Jun 15, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | C++, Robotics, Claude Code | C++, Machine Learning, Claude Code | C++, Automation, 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 | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 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 rbdl/rbdl | $ npx skills add dmlc/xgboost | $ npx skills add AutoHotkey/AutoHotkey | $ npx skills add ggml-org/ggml |