Skill audit report
Univnet audit report.
Unofficial PyTorch Implementation of UnivNet Vocoder (https://arxiv.org/abs/2106.07889)
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
285 GitHub stars
Stars/forks activity
WARN57
285 stars, 46 forks; issue activity unavailable in current metadata
Recent maintenance
FAIL22
5y since push
License clarity
PASS86
BSD-3-Clause
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 maum-ai/univnet
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/maum-ai/univnet
Review status
PASS88
AI review data available
Real agent outcomes
INFO58
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add maum-ai/univnet
Repository
88
https://github.com/maum-ai/univnet
License
86
BSD-3-Clause
Maintenance
20
5y 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
57
285 stars, 46 forks; issue activity unavailable in current metadata
Adoption
68
285 GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Stars/forks activity: 285 stars, 46 forks; issue activity unavailable in current metadata
- Recent maintenance: 5y 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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