databricks-iceberg
Pass
Audited by Gen Agent Trust Hub on Jun 26, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill recommends installing well-known, legitimate Python packages (
pyiceberg,pyarrow,adlfs) from standard registries for external engine interoperability. - [COMMAND_EXECUTION]: The skill includes SQL DDL/DML snippets and Python code for data management tasks. These operations are restricted to the Databricks platform and standard Apache Iceberg APIs, consistent with the skill's stated purpose.
- [CREDENTIALS_UNSAFE]: Security best practices are followed by using placeholders (e.g.,
<pat-token>,<service-principal-secret>) for authentication tokens. It correctly advises the use of Databricks Unity Catalog for governed data access. - [DATA_EXFILTRATION]: Network operations are directed towards legitimate endpoints including the Databricks workspace (
databricks.com) and Snowflake services. These connections are necessary for the documented synchronization and query functionalities.
Audit Metadata