Skill audit report
Loudml audit report.
Loud ML is the first open-source AI solution for ICT and IoT automation
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
305 GitHub stars
Stars/forks activity
INFO62
305 stars, 95 forks; issue activity unavailable in current metadata
Recent maintenance
FAIL22
4y since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add regel/loudml
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
filesystem or document access, database access
Repository evidence
PASS86
https://github.com/regel/loudml
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add regel/loudml
Repository
88
https://github.com/regel/loudml
License
45
Unknown
Maintenance
20
4y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
74
filesystem or document access, database access
Stars/forks activity
62
305 stars, 95 forks; issue activity unavailable in current metadata
Adoption
68
305 GitHub stars
Warnings
- License is unclear
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 4y since push
- 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.
Compare nearby options