data-pipelines

Pass

Audited by Gen Agent Trust Hub on Jun 15, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill contains comprehensive documentation for data engineering workflows. It specifically promotes security-positive patterns, including the use of Airflow Connections to avoid hardcoding credentials and the use of query parameters to prevent SQL injection.
  • [COMMAND_EXECUTION]: Provides standard examples of using Airflow's BashOperator and PythonOperator for orchestration. These are documented within the context of legitimate data pipeline tasks.
  • [DATA_EXFILTRATION]: No patterns of unauthorized data access or exfiltration were found. The skill demonstrates safe data handling by passing metadata (checksums, row counts) rather than full datasets through the orchestration layer.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 15, 2026, 04:09 PM
Security Audit — agent-trust-hub — data-pipelines