Skill audit report
LLaSA Training audit report.
LLaSA: Scaling Train-time and Inference-time Compute for LLaMA-based Speech Synthesis
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
661 GitHub stars
Stars/forks activity
INFO65
661 stars, 49 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
5mo since push
License clarity
WARN42
Unknown
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 zhenye234/LLaSA_training
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/zhenye234/LLaSA_training
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add zhenye234/LLaSA_training
Repository
88
https://github.com/zhenye234/LLaSA_training
License
45
Unknown
Maintenance
76
5mo 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
661 stars, 49 forks; issue activity unavailable in current metadata
Adoption
88
661 GitHub stars
Warnings
- License is unclear
- Quality score needs review
- License clarity: Unknown
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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