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
Risk Level
SAFE
Analyzed
Oct 27, 2026, 03:50 AM