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 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Scikit Learn is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
Scikit Learn
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Scikit Learn
Best first install candidate based on install readiness and adoption.
Freshest repo
Scikit Learn
Most recent maintenance signal among this shortlist.
| Signal | Root The official repository for ROOT: analyzing, storing and visualizing big data, scientifically | DataFrame C++ DataFrame for statistical, financial, and ML analysis in modern C++ | Scikit Learn scikit-learn: machine learning in Python | Streamlit Streamlit — A faster way to build and share data apps. |
|---|---|---|---|---|
| Quality | 100/100 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 | 3.2K stars 0 installs | 3.0K stars 0 installs | 66K stars 0 installs | 45K stars 0 installs |
| Freshness | Jun 6, 2026 | Jun 6, 2026 | Jun 11, 2026 | Jun 12, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | C++, Data Analysis, Claude Code | C++, Data Analysis, Claude Code | Python, Data Analysis, Claude Code | Python, Data Analysis, 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 | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis 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 root-project/root | $ npx skills add hosseinmoein/DataFrame | $ npx skills add scikit-learn/scikit-learn | $ npx skills add streamlit/streamlit |