databricks-apps-python
Pass
Audited by Gen Agent Trust Hub on Jun 25, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [SAFE]: The skill provides structured guidance and code templates for building Databricks applications using industry-standard Python frameworks. It correctly implements security protocols, including OAuth 2.0 flows and token management via authorized proxy headers.
- [EXTERNAL_DOWNLOADS]: References official Databricks resources such as the Databricks CLI and the
@databricks/appkitSDK. It also specifies well-known Python dependencies likedatabricks-sql-connector,databricks-sdk,openai,psycopg2-binary, andasyncpgfor platform integration. These resources originate from the vendor or trusted public registries. - [COMMAND_EXECUTION]: Utilizes standard Databricks CLI commands (e.g.,
databricks apps deploy,databricks apps init) for application lifecycle management. It also provides framework-specific startup commands (e.g.,uvicorn,gunicorn,streamlit run) that are standard for production deployments within the Databricks runtime environment. - [CREDENTIALS_SAFE]: Explicitly instructs against hardcoding tokens or secrets, recommending the use of the SDK's
Config()class for automated credential detection and the use of environment variables for resource identification.
Audit Metadata