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
Deep Research Bench is the strongest overall pick here because it has a 87/100 readiness score and fits RAG and knowledge.
Strongest overall
Deep Research Bench
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
Deep Research Bench
Best first install candidate based on install readiness and adoption.
Freshest repo
Deep Research Bench
Most recent maintenance signal among this shortlist.
| Signal | Deep Research Bench DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents |
|---|---|
| Quality | 76/100 Strong |
| Decision verdict | 87/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 753 stars Verified outcomes are shown on each skill page |
| Freshness | May 11, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Research Agent, Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge 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 Ayanami0730/deep_research_bench |