databricks-metric-views
Pass
Audited by Gen Agent Trust Hub on Aug 11, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is a legitimate resource for defining and querying business metrics in Databricks. It aligns with official platform documentation and uses standard patterns for Metric Views.
- [EXTERNAL_DOWNLOADS]: The skill references official documentation and resources from
docs.databricks.com. These are well-known and trusted service domains used for providing technical guidance on Databricks features. - [COMMAND_EXECUTION]: The skill utilizes the
manage_metric_viewstool to perform administrative actions such ascreate,alter,drop, andgrant. These commands are standard for managing data assets within the Databricks environment and are used for their intended purpose. - [INDIRECT_PROMPT_INJECTION]: The skill involves processing SQL expressions provided within YAML structures for dimensions and measures.
- Ingestion points: Data enters the system via the
dimensions,measures, andfilterfields in the YAML definition and tool arguments. - Boundary markers: Definitions are encapsulated within SQL string delimiters ($$) or structured Python tool arguments.
- Capability inventory: The skill has the ability to manage view life-cycles and user permissions through the
manage_metric_viewstool. - Sanitization: While the skill does not explicitly mention sanitization of SQL expressions, it is designed for users with appropriate workspace permissions to define governed business logic.
Audit Metadata