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
ToG is the strongest overall pick here because it has a 51/100 readiness score and fits RAG and knowledge.
Strongest overall
ToG
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
ToG
Best first install candidate based on install readiness and adoption.
Freshest repo
ToG
Most recent maintenance signal among this shortlist.
| Signal | ToG This is the official github repo of Think-on-Graph (ICLR 2024). If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email (xuchengjin@idea.edu.cn) |
|---|---|
| Quality | 49/100 Needs review |
| Decision verdict | 51/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 650 stars 0 installs |
| Freshness | Mar 24, 2024 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Python, Knowledge Graph, Claude Code |
| Warnings | Repository looks stale · 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 require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add DataArcTech/ToG |