model-monitoring-patterns
Pass
Audited by Gen Agent Trust Hub on Oct 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate code templates and architectural patterns for statistical monitoring of machine learning models in production environments.
- [EXTERNAL_DOWNLOADS]: The skill utilizes well-established data science and MLOps libraries, including
numpy,pandas,scipy,evidently,nannyml,whylogs, andprometheus_client. - [DATA_EXFILTRATION]: Pattern 4 includes functionality to upload data profiles to WhyLabs. This is a standard and documented feature of the
whylogslibrary for centralized model monitoring and does not represent unauthorized exfiltration.
Audit Metadata