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
Made With ML is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
Made With ML
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Made With ML
Best first install candidate based on install readiness and adoption.
Freshest repo
Aim
Most recent maintenance signal among this shortlist.
| Signal | Traceml Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon. | Great Expectations Always know what to expect from your data. | Made With ML Learn how to develop, deploy and iterate on production-grade ML applications. | Aim Aim 💫 — An easy-to-use & supercharged open-source experiment tracker. |
|---|---|---|---|---|
| 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 | 533 stars Verified outcomes are shown on each skill page | 12K stars Verified outcomes are shown on each skill page | 48K stars Verified outcomes are shown on each skill page | 6.2K stars Verified outcomes are shown on each skill page |
| Freshness | Jun 10, 2026 | Jun 13, 2026 | Mar 4, 2026 | Aug 11, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, MLOps, Claude Code | Python, MLOps, Claude Code | Jupyter Notebook, MLOps, Claude Code | Python, Machine Learning, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No OpenAgentSkill engagement data yet | No major risk signals from current metadata |
| Best for | Sports analytics workflows · Claude Code teams · teams that value GitHub adoption signals | Workflow automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Sports analytics 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 | 12 views 0 install copies |
| Install | $ npx skills add polyaxon/traceml | $ npx skills add fivetran/great_expectations | $ npx skills add GokuMohandas/Made-With-ML | $ npx skills add aimhubio/aim |