supervisor-api
Pass
Audited by Gen Agent Trust Hub on May 6, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill references official Databricks Python packages (databricks-openai and databricks-sdk) as project dependencies. These are legitimate resources from a well-known service provider.
- [COMMAND_EXECUTION]: The documentation includes standard development commands using 'uv' and 'databricks' CLI for local testing and deployment of application bundles. These are expected for the skill's stated purpose.
- [DATA_EXPOSURE]: Code snippets demonstrate how to access environment variables like MLFLOW_EXPERIMENT_ID and interact with Unity Catalog for tracing purposes. This is standard practice for configuring observability in Databricks environments.
- [PROMPT_INJECTION]: The documentation contains a block of instructions intended for the AI agent to guide the user (e.g., checking for environment variables before generating code). These are benign instructional patterns designed to improve the agent's helpfulness and do not attempt to bypass safety filters.
Audit Metadata