databricks-mlflow-evaluation
Pass
Audited by Gen Agent Trust Hub on Feb 27, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADS
Full Analysis
- [EXTERNAL_DOWNLOADS]: The documentation provides instructions to install standard Python packages
mlflow[databricks]andopenaiusing pip. These are well-known packages from official registries and are necessary for the skill's functionality. - [COMMAND_EXECUTION]: The skill includes documentation on SQL commands for granting Unity Catalog permissions (e.g.,
GRANT MODIFY, SELECT ON TABLE ...). This is standard configuration guidance for the Databricks platform and does not represent an automated execution risk. - [DATA_EXPOSURE_AND_EXFILTRATION]: The patterns use placeholders for sensitive information like
SQL_WAREHOUSE_ID,CATALOG, andSCHEMA. It also references official Databricks endpoints and tracking URIs, which are aligned with the author's infrastructure and well-known services.
Audit Metadata