Skill audit report
Mlops Coding Course audit report.
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, 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
713 GitHub stars
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
CC-BY-4.0
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add MLOps-Courses/mlops-coding-course
Repository evidence
PASS86
https://github.com/MLOps-Courses/mlops-coding-course
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add MLOps-Courses/mlops-coding-course
Repository
88
https://github.com/MLOps-Courses/mlops-coding-course
License
86
CC-BY-4.0
Maintenance
88
2mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
713 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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