validate-data
Pass
Audited by Gen Agent Trust Hub on Jul 15, 2026
Risk Level: SAFE
Full Analysis
- Standard Data Quality Framework: The skill implements a robust workflow for quality assurance in data science, including checks for join explosions, survivorship bias, and timezone mismatches. These are standard industry best practices for data validation.
- Tool Integration: It references the use of
jupyter-notebooks,spreadsheet_workspace, andvisualize-dataskills. These are used as intended for recomputing metrics and reviewing charts within a controlled analytical environment. - No External Risks: The skill does not perform any external network requests, download remote code, or access sensitive system paths. It operates entirely on the data and artifacts provided by the user for review.
Audit Metadata