mlops-engineer
Pass
Audited by Gen Agent Trust Hub on Jun 19, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a reference for MLOps workflows and does not contain any instructions that attempt to bypass safety guidelines or exfiltrate sensitive data.
- [SAFE]: Technical examples utilize established open-source libraries (e.g., MLflow, Kubeflow, Feast, Scikit-learn) and follow standard security practices for secret management in CI/CD pipelines by using environment variables and secrets providers.
- [SAFE]: All external references in the GitHub Actions workflow example target trusted official repositories from the 'actions' and 'aws-actions' organizations.
Audit Metadata