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
Quant Notes is the strongest overall pick here because it has a 53/100 readiness score and fits Coding agents.
Strongest overall
Quant Notes
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
Quant Notes
Best first install candidate based on install readiness and adoption.
Freshest repo
Quant Notes
Most recent maintenance signal among this shortlist.
| Signal | Quant Notes Quantitative Interview Preparation Guide, updated version here ==> |
|---|---|
| Quality | 51/100 Needs review |
| Decision verdict | 53/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 953 stars Verified outcomes are shown on each skill page |
| Freshness | Mar 23, 2019 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Jupyter Notebook, Finance, 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 dingran/quant-notes |