ml-workflow
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill contains standard documentation and Python code examples for managing machine learning experiments using established libraries like MLflow and Scikit-learn. No malicious patterns, prompt injections, or obfuscated code were detected.
- [DATA_EXFILTRATION]: The tracking URI
http://mlflow.example.comserves as a generic documentation placeholder for MLflow configuration. It does not involve the exfiltration of sensitive data or credentials. - [EXTERNAL_DOWNLOADS]: The code references common machine learning dependencies including
mlflowandscikit-learn, which are standard packages in the data science ecosystem.
Audit Metadata