databricks-pipelines
Pass
Audited by Gen Agent Trust Hub on Jun 28, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves its stated purpose as a development aid for Databricks Lakeflow pipelines. No malicious overrides, prompt injections, or obfuscated content were detected across the analyzed files.- [COMMAND_EXECUTION]: Instructions include the use of official Databricks CLI tools for project initialization, validation, and deployment (e.g.,
databricks bundle deploy,databricks pipelines create). These are standard operations for managing cloud infrastructure and code.- [EXTERNAL_DOWNLOADS]: The skill references common Python libraries such aspandas,requests, andscikit-learnfor use in serverless environments. These are industry-standard packages from trusted registries.- [CREDENTIALS_UNSAFE]: Security best practices are promoted throughout the documentation, specifically regarding the use of Databricks secrets and Unity Catalog interpolation for managing sensitive connection strings and API keys instead of hardcoding them.
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