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
Label Studio
Most recent maintenance signal among this shortlist.
| Signal | Mlstacks A series of Terraform based recipes to provision popular MLOps stacks on the cloud. | Label Studio Label Studio is a multi-type data labeling and annotation tool with standardized output format | Machinelearning ML.NET is an open source and cross-platform machine learning framework for .NET. | Made With ML Learn how to develop, deploy and iterate on production-grade ML applications. |
|---|---|---|---|---|
| Quality | 50/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 40/100 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 | 254 stars Verified outcomes are shown on each skill page | 28K stars Verified outcomes are shown on each skill page | 9.3K stars Verified outcomes are shown on each skill page | 48K stars Verified outcomes are shown on each skill page |
| Freshness | Oct 9, 2024 | Jun 16, 2026 | Jun 12, 2026 | Mar 4, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | HCL, MLOps, Claude Code | TypeScript, MLOps, Claude Code | C#, Machine Learning, Claude Code | Jupyter Notebook, MLOps, 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 | Coding agents workflows · Claude Code teams · builders willing to evaluate younger projects | Coding agents workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 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 zenml-io/mlstacks | $ npx skills add HumanSignal/label-studio | $ npx skills add dotnet/machinelearning | $ npx skills add GokuMohandas/Made-With-ML |