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.com serves 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 mlflow and scikit-learn, which are standard packages in the data science ecosystem.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 15, 2026, 12:10 PM