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
Risk Level
SAFE
Analyzed
Sep 15, 2026, 11:55 AM
Security Audit — agent-trust-hub — data-quality-frameworks