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
ML Interview is the strongest overall pick here because it has a 36/100 readiness score and fits Research agents.
Strongest overall
ML Interview
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
ML Interview
Best first install candidate based on install readiness and adoption.
Freshest repo
ML Interview
Most recent maintenance signal among this shortlist.
| Signal | ML Interview Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews. |
|---|---|
| Quality | 46/100 Needs review |
| Decision verdict | 36/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 324 stars 0 installs |
| Freshness | Feb 4, 2022 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Quant, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · builders willing to evaluate younger projects |
| 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 mohitzsh/ML-Interview |