validate-data

Pass

Audited by Gen Agent Trust Hub on Jun 16, 2026

Risk Level: SAFE
Full Analysis
  • Artifact Ingestion and Analysis: The skill is designed to process external artifacts including SQL scripts, Jupyter notebooks, spreadsheets, and dashboards. This activity is central to its purpose of validating data claims and methodology.
  • Ingestion points: The skill reads from user-provided paths, links, and pasted analysis content in the inventory phase.
  • Boundary markers: Not explicitly defined in the instructions for isolating untrusted data segments.
  • Capability inventory: Includes the ability to interact with Jupyter notebooks, spreadsheet workspaces, and structured data connectors for source metadata and query history.
  • Sanitization: The skill emphasizes manual verification and re-computation of metrics using standard analytical tools.
  • Dynamic Workflow Interaction: To perform thorough verification, the skill utilizes specialized tools like Jupyter notebooks and spreadsheet environments. This allows the agent to execute code or formulas contained within the artifacts being validated to ensure calculation accuracy.
  • Integrated Component Usage: The skill coordinates with other internal capabilities, such as data quality analysis and user context management. These interactions are standard procedures for providing context-aware and comprehensive data validation reports.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 16, 2026, 06:12 AM
Security Audit — agent-trust-hub — validate-data