product-conjoint-analysis
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides a set of instructional markdown files and Python scripts designed for statistical analysis of product attributes and consumer choices.
- [SAFE]: Data processing is performed locally using standard data science libraries. The scripts
build_stacked_data.pyandfit_logistic_conjoint.pyimplement strict validation checks (e.g.,validate_stacked) to ensure data consistency and prevent mathematical errors. - [SAFE]: No evidence of prompt injection, data exfiltration, or obfuscation was found. The instructions focus on methodology and quality rules for market research.
- [SAFE]: External references are limited to authoritative academic sources (Berkeley EDU) for statistical methodology documentation.
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