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
OpenRefine is the strongest overall pick here because it has a 100/100 readiness score and fits GitHub automation.
Strongest overall
OpenRefine
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
OpenRefine
Best first install candidate based on install readiness and adoption.
Freshest repo
OpenRefine
Most recent maintenance signal among this shortlist.
| Signal | Elki ELKI Data Mining Toolkit | PyPOTS A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values | OpenRefine OpenRefine is a free, open source power tool for working with messy data and improving it | Pycm Multi-class confusion matrix library in Python |
|---|---|---|---|---|
| Quality | 80/100 Strong | 100/100 Excellent | 100/100 Excellent | 97/100 Excellent |
| Decision verdict | 91/100 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 | 832 stars 0 installs | 2.0K stars 0 installs | 12K stars 0 installs | 1.5K stars 0 installs |
| Freshness | Apr 9, 2026 | Jun 9, 2026 | Jun 12, 2026 | Jun 12, 2026 |
| Use-case fit | ||||
| Stack fit | ||||
| Platform hints | Java, Data Analysis, Claude Code | Python, Data Analysis, Claude Code | Java, Data Analysis, Claude Code | Python, Data Analysis, 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 | GitHub automation 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 | GitHub automation 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 | 2 views 0 install copies |
| Install | $ npx skills add elki-project/elki | $ npx skills add WenjieDu/PyPOTS | $ npx skills add OpenRefine/OpenRefine | $ npx skills add sepandhaghighi/pycm |