Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 4 skills
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Data Science Interviews is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
Data Science Interviews
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Data Science Interviews
Best first install candidate based on install readiness and adoption.
Freshest repo
Pycaret
Most recent maintenance signal among this shortlist.
| Signal | Jetson Containers Machine Learning Containers for NVIDIA Jetson and JetPack-L4T | Data Science Interviews Data science interview questions and answers | Pyod A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents. | Pycaret Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane. |
|---|---|---|---|---|
| Quality | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 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. | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 4.7K stars 0 installs | 10K stars 0 installs | 9.9K stars 0 installs | 9.8K stars 0 installs |
| Freshness | May 30, 2026 | Jun 1, 2026 | Jun 5, 2026 | Jun 12, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Jupyter Notebook, Machine Learning, Claude Code | HTML, Machine Learning, Claude Code | Python, Machine Learning, Claude Code | Python, Machine Learning, 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 | Workflow automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 dusty-nv/jetson-containers | $ npx skills add alexeygrigorev/data-science-interviews | $ npx skills add yzhao062/pyod | $ npx skills add pycaret/pycaret |