databricks-synthetic-data-gen
Pass
Audited by Gen Agent Trust Hub on Jul 4, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill requires standard data science libraries (
faker,numpy,pandas,holidays) and the officialdatabricks-connectSDK. All packages are sourced from official registries or the vendor. - [COMMAND_EXECUTION]: Spark SQL and Python code are used to manage infrastructure (schemas and volumes) and generate data. These actions are restricted to the Databricks environment and align with the skill's primary function.
- [DATA_EXFILTRATION]: Analysis confirmed that network operations are solely used for connecting to Databricks services via the official SDK. No data exfiltration or unauthorized external communication was found.
- [CREDENTIALS_UNSAFE]: The skill encourages secure authentication by referencing the standard Databricks configuration file (
~/.databrickscfg) rather than requesting or hardcoding sensitive credentials.
Audit Metadata