rfm-segmentation

Pass

Audited by Gen Agent Trust Hub on Sep 8, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill operates entirely within the context of the ThinkingData platform using the ae-cli tool for all data and metadata operations, ensuring actions are performed within authorized environments.
  • [SAFE]: A transparent Python validation script (scripts/validate_segments.py) is used to perform deterministic integrity checks on exported data, preventing processing of malformed or inconsistent analysis results.
  • [SAFE]: The skill implements a rigorous Stage-1 calibration gate that requires explicit user confirmation for key business parameters such as analysis universe, time windows, and entity resolution before any data processing occurs.
  • [SAFE]: SQL construction instructions for the agent emphasize best practices for the target platform, such as using partition predicates ($part_date) to optimize query performance and quoting identifiers to prevent syntax errors.
  • [SAFE]: Strategy generation is dynamically grounded in verified project metadata, ensuring that operational recommendations are based on actual features present in the analyzed project rather than generic templates.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 8, 2026, 03:22 AM
Security Audit — agent-trust-hub — rfm-segmentation