data-quality-frameworks
Pass
Audited by Gen Agent Trust Hub on Jun 23, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The playbook recommends the installation of the
great_expectationsPython package. This is a well-known and trusted library for data validation and does not pose a security risk. - [COMMAND_EXECUTION]: The skill includes standard CLI instructions for initializing data quality projects (e.g.,
great_expectations init). These commands are benign and necessary for the stated purpose of the skill. - [CREDENTIALS_UNSAFE]: The skill demonstrates secure configuration practices by using environment variable placeholders (
${SLACK_WEBHOOK}) for integration settings, avoiding the use of hardcoded credentials.
Audit Metadata