Skill audit report
Handeye Calib Camodocal audit report.
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.
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
611 GitHub stars
Recent maintenance
FAIL38
2y since push
License clarity
PASS86
BSD-2-Clause
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add jhu-lcsr/handeye_calib_camodocal
Repository evidence
PASS86
https://github.com/jhu-lcsr/handeye_calib_camodocal
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add jhu-lcsr/handeye_calib_camodocal
Repository
88
https://github.com/jhu-lcsr/handeye_calib_camodocal
License
86
BSD-2-Clause
Maintenance
38
2y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
611 GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 2y since push
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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