data-quality-frameworks
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a reference guide for data quality frameworks. The provided Python and YAML snippets follow industry standard practices for validation pipelines and do not contain any malicious instructions or unsafe operations.
- [SAFE]: External dependencies are restricted to well-known data engineering tools (Great Expectations, dbt). The use of environment variable placeholders like
${SLACK_WEBHOOK}follows secret management best practices. - [SAFE]: No obfuscation, privilege escalation, or unauthorized network operations were detected. The skill's primary function is generating validation reports and enforcing data contracts.
Audit Metadata