skills/databricks-solutions/lakebase-online-ml/databricks-spark-declarative-pipelines/Gen Agent Trust Hub
databricks-spark-declarative-pipelines
Pass
Audited by Gen Agent Trust Hub on Aug 11, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements Databricks Lakeflow Spark Declarative Pipelines using official platform tools, including Databricks Asset Bundles (DABs) and the Databricks CLI (e.g.,
databricks pipelines init). These are standard vendor-provided utilities for pipeline management. - [SAFE]: All provided code templates for Python and SQL utilize modern APIs (
pyspark.pipelines) and Unity Catalog integration, which is the recommended approach for secure data governance on the Databricks platform. - [SAFE]: External resource management, such as the installation of Python dependencies (e.g.,
pandas,requests,scikit-learn), follows platform-native patterns usingpyproject.tomlor pipeline configuration settings, representing standard practice for data science workflows. - [SAFE]: The skill utilizes a set of MCP tools (
create_or_update_pipeline,run_pipeline,upload_folder) to automate interactions with the Databricks Workspace. This functionality is consistent with the skill's primary purpose and uses legitimate workspace APIs. - [SAFE]: No malicious patterns, such as prompt injection, unauthorized data exfiltration, or obfuscation, were detected in the instructions or the accompanying guides.
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