data-quality
Pass
Audited by Gen Agent Trust Hub on Aug 25, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides educational content and boilerplate code for data quality validation. It uses standard industry libraries such as
great_expectationsandpandasfor data verification. All external links point to official documentation (Great Expectations) or well-known development resources (AWS Labs on GitHub). The code snippets demonstrate standard patterns for checking data completeness, accuracy, and consistency without any suspicious command execution or network exfiltration logic.
Audit Metadata