Skill audit report
Open3d Slam audit report.
Pointcloud-based graph SLAM written in C++ using open3D library.
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, install safety, permission surface, 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
614 GitHub stars
Stars/forks activity
INFO71
614 stars, 61 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
BSD-3-Clause
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add leggedrobotics/open3d_slam
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/leggedrobotics/open3d_slam
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add leggedrobotics/open3d_slam
Repository
88
https://github.com/leggedrobotics/open3d_slam
License
86
BSD-3-Clause
Maintenance
88
1mo 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
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
71
614 stars, 61 forks; issue activity unavailable in current metadata
Adoption
88
614 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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