data-quality-frameworks
Pass
Audited by Gen Agent Trust Hub on Oct 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill functions as a technical guide for data engineering, providing standard implementation patterns for data validation and testing.
- [EXTERNAL_DOWNLOADS]: The documentation provides implementation examples for well-known and trusted data quality tools including Great Expectations, dbt-core, and Soda Core.
- [DATA_EXFILTRATION]: The implementation playbook includes security best practices, such as recommending read-only credentials for data validation and advising on the restriction of validation outputs to prevent accidental exposure of personal data (PII).
Audit Metadata