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
M2 Deep Research is the strongest overall pick here because it has a 52/100 readiness score and fits RAG and knowledge.
Strongest overall
M2 Deep Research
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
M2 Deep Research
Best first install candidate based on install readiness and adoption.
Freshest repo
M2 Deep Research
Most recent maintenance signal among this shortlist.
| Signal | M2 Deep Research Deep research agents using MiniMax M2.1 interleaved thinking |
|---|---|
| Quality | 62/100 Promising |
| Decision verdict | 52/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 216 stars 0 installs |
| Freshness | Dec 23, 2025 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Python, Research Agent, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · builders willing to evaluate younger projects |
| 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 dair-ai/m2-deep-research |