Skill audit report
Rko Lio audit report.
A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling
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
580 GitHub stars
Recent maintenance
PASS100
12d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add PRBonn/rko_lio
Repository evidence
PASS86
https://github.com/PRBonn/rko_lio
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add PRBonn/rko_lio
Repository
88
https://github.com/PRBonn/rko_lio
License
86
MIT
Maintenance
100
12d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
580 GitHub stars
Warnings
- Quality score needs review
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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