Skill audit report
Mvsim audit report.
Vehicle and mobile robotics simulator. C++ & Python API. Use it as a standalone application or via ROS 1 or ROS 2
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
INFO62
404 GitHub stars
Stars/forks activity
INFO62
404 stars, 60 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
22d since push
License clarity
PASS86
BSD-3-Clause
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add MRPT/mvsim
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO72
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/MRPT/mvsim
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add MRPT/mvsim
Repository
88
https://github.com/MRPT/mvsim
License
86
BSD-3-Clause
Maintenance
100
22d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
72
filesystem or document access, network or browser access
Stars/forks activity
62
404 stars, 60 forks; issue activity unavailable in current metadata
Adoption
68
404 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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