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
CrossSection is the strongest overall pick here because it has a 71/100 readiness score and fits Research agents.
Strongest overall
CrossSection
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
CrossSection
Best first install candidate based on install readiness and adoption.
Freshest repo
CrossSection
Most recent maintenance signal among this shortlist.
| Signal | CrossSection Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing" |
|---|---|
| Quality | 69/100 Promising |
| Decision verdict | 71/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 989 stars 0 installs |
| Freshness | Oct 22, 2025 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Python, Finance, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Research 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 |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add OpenSourceAP/CrossSection |