mlflow-python
Pass
Audited by Gen Agent Trust Hub on Apr 4, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No prompt injection patterns or attempts to override agent behavior were detected in the skill instructions or reference files.
- [SAFE]: Authentication follows industry best practices by utilizing separate environment variables (MLFLOW_TRACKING_USERNAME, MLFLOW_TRACKING_PASSWORD) rather than insecure URI embedding.
- [SAFE]: The skill's Python dependencies (mlflow, quantstats, pandas, pydantic, tabulate) are all standard, reputable packages for data science and MLflow integration.
- [SAFE]: Script analysis confirms that network operations are restricted to communication with the designated MLflow tracking server via official client APIs.
- [SAFE]: No evidence of obfuscation, hidden URLs, or persistence mechanisms was found in the provided code or documentation.
Audit Metadata