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
Handeye Calib Camodocal is the strongest overall pick here because it has a 56/100 readiness score and fits Coding agents.
Strongest overall
Handeye Calib Camodocal
Do a manual repository review before adding this to an agent workflow.
Fastest prototype
Handeye Calib Camodocal
Best first install candidate based on install readiness and adoption.
Freshest repo
Handeye Calib Camodocal
Most recent maintenance signal among this shortlist.
| Signal | Handeye Calib Camodocal Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa. |
|---|---|
| Quality | 54/100 Needs review |
| Decision verdict | 56/100 Needs manual review Do a manual repository review before adding this to an agent workflow. |
| Adoption | 611 stars 0 installs |
| Freshness | Jul 24, 2024 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | C++, ROS, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Coding agents 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 jhu-lcsr/handeye_calib_camodocal |