data-quality-frameworks
Pass
Audited by Gen Agent Trust Hub on Apr 8, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill provides instructions to install
great_expectationsvia the standard Python package manager. This is a well-known, industry-standard library for data validation. - [COMMAND_EXECUTION]: Includes boilerplate CLI commands for initializing and configuring Great Expectations projects (
great_expectations init,great_expectations datasource new). These are standard development workflows. - [DATA_EXFILTRATION]: The skill demonstrates the correct use of environment variable placeholders (
${SLACK_WEBHOOK}) for handling sensitive notification endpoint configurations, preventing the hardcoding of secrets. - [SAFE]: The instruction set and implementation playbook adhere to data engineering best practices, including PII classification in data contracts and safety warnings regarding the management of sensitive data in validation outputs.
Audit Metadata