clean-data
Pass
Audited by Gen Agent Trust Hub on Apr 22, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements a strictly interactive three-stage workflow (Profile, Flag, Code-Generate) that requires explicit researcher confirmation at each 'gate' before proceeding.
- [SAFE]: Explicit privacy protections are included, with clear instructions for users to de-identify Protected Health Information (PHI) or use local-only environments before processing sensitive clinical datasets.
- [SAFE]: The included reference script (profiling_template.py) performs standard local data analysis using reputable libraries (pandas, numpy) and contains no network operations, obfuscation, or dynamic execution of untrusted code.
- [SAFE]: Robust anti-hallucination instructions are present, forbidding the agent from fabricating variable names, statistical results, or academic citations.
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