engineering-data-engineer

Pass

Audited by Gen Agent Trust Hub on Mar 11, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill defines a professional persona for a Data Engineer. It includes standard practices for building reliable data pipelines (Medallion Architecture).
  • [DATA_INGESTION_SURFACE]: The skill provides templates for ingesting data via PySpark (spark.read.format("json").load(source_path)). While this creates an attack surface for indirect prompt injection if the processed data contains malicious instructions, the skill specifically instructs the agent to implement rigorous schema validation and data quality checks using Great Expectations and dbt, which are standard security and reliability mitigations in data engineering.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 11, 2026, 09:44 AM
Security Audit — agent-trust-hub — engineering-data-engineer