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
Great Expectations is the strongest overall pick here because it has a 100/100 readiness score and fits Workflow automation.
Strongest overall
Great Expectations
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Great Expectations
Best first install candidate based on install readiness and adoption.
Freshest repo
Runtime
Most recent maintenance signal among this shortlist.
| Signal | Runtime Runtime for building and managing AI agents and Workflows. Easy to learn, fast to build, High Performance, Reliable by design, Intuitive UI, Production Ready. | Kedro Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular. | Mage AI 🧙 Build, run, and manage data pipelines for integrating and transforming data. | Great Expectations Always know what to expect from your data. |
|---|---|---|---|---|
| Quality | 69/100 Promising | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 68/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. | 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 | 200 stars Verified outcomes are shown on each skill page | 11K stars Verified outcomes are shown on each skill page | 8.8K stars Verified outcomes are shown on each skill page | 12K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 19, 2026 | Jun 16, 2026 | Jun 9, 2026 | Jun 13, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, MLOps, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, MLOps, 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 | Browser automation workflows · Claude Code teams · builders willing to evaluate younger projects | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Browser automation workflows · Claude Code teams · teams that value GitHub adoption signals | Workflow 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 FailproofAI/runtime | $ npx skills add kedro-org/kedro | $ npx skills add mage-ai/mage-ai | $ npx skills add fivetran/great_expectations |