data-engineering-quality
Pass
Audited by Gen Agent Trust Hub on Mar 1, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill contains standard documentation and code snippets for data validation using established libraries such as Great Expectations and Pandera. All provided examples follow best practices for data engineering workflows.
- [SAFE]: All referenced Python packages (great_expectations, pandera, pandas, polars, pyspark, prefect, dagster, pytest) are well-known, legitimate tools in the data science and engineering ecosystem.
- [SAFE]: The code demonstrated is purely instructional and used for schema enforcement and data profiling, with no evidence of malicious behavior such as command execution, data exfiltration, or prompt injection.
Audit Metadata