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
Pandas is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.
Strongest overall
Pandas
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Pandas
Best first install candidate based on install readiness and adoption.
Freshest repo
Gradio
Most recent maintenance signal among this shortlist.
| Signal | Probatus SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems. | Streamlit Streamlit — A faster way to build and share data apps. | 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 | Gradio Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work! |
|---|---|---|---|---|
| Quality | 48/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 38/100 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 | 153 stars Verified outcomes are shown on each skill page | 45K stars Verified outcomes are shown on each skill page | 49K stars Verified outcomes are shown on each skill page | 43K stars Verified outcomes are shown on each skill page |
| Freshness | Apr 19, 2025 | Jun 14, 2026 | Jun 14, 2026 | Jun 17, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Data Analysis, Claude Code | Python, Data Analysis, Claude Code | Python, Data Analysis, Claude Code | Python, Data Analysis, 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 · builders willing to evaluate younger projects | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis 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 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 ing-bank/probatus | $ npx skills add streamlit/streamlit | $ npx skills add pandas-dev/pandas | $ npx skills add gradio-app/gradio |