data-engineer
Pass
Audited by Gen Agent Trust Hub on Sep 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and code templates for data engineering tasks using standard tools like PySpark and dbt without introducing malicious commands or risky behaviors.\n- [INDIRECT_PROMPT_INJECTION]: The skill defines patterns for ingesting external data from JSON files and Kafka streams (ingestion points in SKILL.md). It mitigates risks by requiring explicit schema contracts and validation tests (boundary markers). The skill includes capabilities for data transformation and storage via Spark and Delta Lake (capability inventory). Sanitization is implemented through mandatory data quality checks and validation using Great Expectations (sanitization).
Audit Metadata