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
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
Awpy
Most recent maintenance signal among this shortlist.
| Signal | Awpy Python library to parse, analyze and visualize Counter-Strike 2 data | Nautilus Trader Production-grade Rust-native trading engine with deterministic event-driven architecture | Pandas Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more | Scikit Learn scikit-learn: machine learning in Python |
|---|---|---|---|---|
| Quality | 79/100 Strong | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 90/100 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 | 583 stars Verified outcomes are shown on each skill page | 23K stars Verified outcomes are shown on each skill page | 49K stars Verified outcomes are shown on each skill page | 66K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 18, 2026 | Jun 14, 2026 | Jun 14, 2026 | Jun 17, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Sports Analytics, Claude Code | Rust, Sports Analytics, 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 | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | Finance and quant workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation 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 pnxenopoulos/awpy | $ npx skills add nautechsystems/nautilus_trader | $ npx skills add pandas-dev/pandas | $ npx skills add scikit-learn/scikit-learn |