model-registry-patterns
Pass
Audited by Gen Agent Trust Hub on Oct 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill consists of educational Python patterns for model registry workflows, including registration, evaluation gates, and promotion.
- [SAFE]: Network operations demonstrated in the snippets (MLflow tracking server and GitHub Actions API) are consistent with standard MLOps practices for model governance.
- [SAFE]: External library usage, including MLflow, FastAPI, and scikit-learn, is limited to well-known and legitimate packages.
- [SAFE]: No hardcoded credentials, obfuscation, or malicious patterns were identified. The usage of variables like GITHUB_TOKEN is a common placeholder practice for demonstration purposes.
Audit Metadata