skills/g1joshi/agent-skills/mlflow/Gen Agent Trust Hub

mlflow

Pass

Audited by Gen Agent Trust Hub on Oct 11, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides standard instructional documentation for the MLflow library without any detected malicious patterns or injection attempts.
  • [CREDENTIALS_UNSAFE]: No hardcoded credentials or secrets were found. The skill explicitly promotes the best practice of using environment variables (MLFLOW_TRACKING_URI) instead of hardcoding sensitive configuration.
  • [DATA_EXFILTRATION]: Network activity is limited to a local tracking URI (http://localhost:5000) commonly used for development, with no indicators of unauthorized data exfiltration.
  • [DYNAMIC_EXECUTION]: The code examples demonstrate standard machine learning workflows; no unsafe uses of eval(), exec(), or untrusted deserialization were identified.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 11, 2026, 03:37 AM