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 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Lihang is the strongest overall pick here because it has a 75/100 readiness score and fits Coding agents.
Strongest overall
Lihang
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
Lihang
Best first install candidate based on install readiness and adoption.
Freshest repo
Lihang
Most recent maintenance signal among this shortlist.
| Signal | Lihang Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang] |
|---|---|
| Quality | 73/100 Strong |
| Decision verdict | 75/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 6.3K stars 0 installs |
| Freshness | Aug 5, 2023 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Machine Learning, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Coding agents 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add SmirkCao/Lihang |