Skill audit report
MagicDrive V2 audit report.
[ICCV 2025] Official implementation of the paper “MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”
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
715 GitHub stars
Stars/forks activity
INFO65
715 stars, 28 forks; issue activity unavailable in current metadata
Recent maintenance
INFO62
12mo since push
License clarity
PASS86
AGPL-3.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add flymin/MagicDrive-V2
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/flymin/MagicDrive-V2
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add flymin/MagicDrive-V2
Repository
88
https://github.com/flymin/MagicDrive-V2
License
86
AGPL-3.0
Maintenance
62
12mo 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
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
65
715 stars, 28 forks; issue activity unavailable in current metadata
Adoption
88
715 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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