genie-space-patterns
Pass
Audited by Gen Agent Trust Hub on Mar 8, 2026
Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [COMMAND_EXECUTION]: The skill provides patterns for executing SQL queries via Databricks Spark and the Genie Conversation API (
ask_genie). This is the core functionality intended for managing and validating Genie Spaces within the Databricks environment. - [DYNAMIC_EXECUTION]: Python code snippets in the documentation (e.g., in
configuration-guide.md) demonstrate dynamic SQL generation for table inspection using f-strings (e.g.,spark.sql(f"DESCRIBE TABLE EXTENDED {full_name}")). This is used specifically for metadata validation and readiness checks. - [EXTERNAL_DOWNLOADS]: The skill references an upstream repository
databricks-solutions/ai-dev-kit. As this belongs to the skill's author/vendor, it is considered a trusted resource for extending functionality. - [PROMPT_INJECTION]: The skill implements a 'Benchmark Intake Workflow' (described in
benchmark-intake-workflow.md) that validates user-provided questions against known data assets and definitions. This workflow serves as a functional validation layer to prevent ambiguous or invalid inputs from affecting the agent's query generation quality.
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