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
Superset is the strongest overall pick here because it has a 100/100 readiness score and fits Coding agents.
Strongest overall
Superset
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Superset
Best first install candidate based on install readiness and adoption.
Freshest repo
Superset
Most recent maintenance signal among this shortlist.
| Signal | Rill The fastest business intelligence tool for humans and agents. | Jimureport 免费的AI可视化报表。一句话描述需求，AI 自动生成报表与数据大屏；同时提供类 Excel 拖拽设计器，兼容 30 余种数据源，轻松应对各类复杂报表场景——帆软、Tableau 的高性价比开源替代。 | Mito Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet | Superset Apache Superset is a Data Visualization and Data Exploration Platform |
|---|---|---|---|---|
| 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 | 2.7K stars 0 installs | 8.0K stars 0 installs | 2.6K stars 0 installs | 73K stars 0 installs |
| Freshness | Jun 12, 2026 | May 22, 2026 | Jun 11, 2026 | Jun 14, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Go, Data Visualization, Claude Code | Java, Data Analysis, Claude Code | Jupyter Notebook, Data Visualization, Claude Code | TypeScript, BI, 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 | Data analysis workflows · Claude Code teams · teams that value GitHub adoption signals | Data analysis 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 rilldata/rill | $ npx skills add jeecgboot/jimureport | $ npx skills add mito-ds/mito | $ npx skills add apache/superset |