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
Streamlit is the strongest overall pick here because it has a 100/100 readiness score and fits Data analysis.
Strongest overall
Streamlit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Streamlit
Best first install candidate based on install readiness and adoption.
Freshest repo
Docker Stacks
Most recent maintenance signal among this shortlist.
| Signal | Pytorch Cifar Models Pretrained models on CIFAR10/100 in PyTorch | Ipython Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc. | Docker Stacks Ready-to-run Docker images containing Jupyter applications | Streamlit Streamlit — A faster way to build and share data apps. |
|---|---|---|---|---|
| Quality | 52/100 Needs review | 100/100 Excellent | 100/100 Excellent | 100/100 Excellent |
| Decision verdict | 42/100 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 | 399 stars Verified outcomes are shown on each skill page | 17K stars Verified outcomes are shown on each skill page | 8.4K stars Verified outcomes are shown on each skill page | 45K stars Verified outcomes are shown on each skill page |
| Freshness | May 17, 2025 | Jun 15, 2026 | Jun 20, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Workflow fit | ||||
| Platform hints | Python, Notebook, Claude Code | Python, Notebook, Claude Code | Python, Notebook, 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 | GitHub automation workflows · Claude Code teams · teams that value GitHub adoption signals | Coding agents 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 chenyaofo/pytorch-cifar-models | $ npx skills add ipython/ipython | $ npx skills add jupyter/docker-stacks | $ npx skills add streamlit/streamlit |