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
Graph Cut Ransac is the strongest overall pick here because it has a 51/100 readiness score and fits RAG and knowledge.
Strongest overall
Graph Cut Ransac
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
Graph Cut Ransac
Best first install candidate based on install readiness and adoption.
Freshest repo
Graph Cut Ransac
Most recent maintenance signal among this shortlist.
| Signal | Graph Cut Ransac The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf |
|---|---|
| Quality | 61/100 Promising |
| Decision verdict | 51/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 469 stars 0 installs |
| Freshness | Nov 4, 2025 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | C++, Computer Vision, 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 danini/graph-cut-ransac |