quantitative-research
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill acts as a comprehensive reference for quantitative finance, providing industry-standard methodologies for strategy validation and risk management.
- [SAFE]: Python snippets provided for walk-forward analysis, information coefficient calculation, and regime detection use standard, well-known scientific libraries including pandas, numpy, statsmodels, and scikit-learn.
- [SAFE]: No hardcoded credentials, sensitive file access, or network exfiltration patterns were found. The code focuses entirely on local data processing and statistical analysis.
- [SAFE]: The reference files (patterns, sharp edges, and validations) are designed to improve user code quality and detect common trading pitfalls like look-ahead bias and overfitting, rather than introducing security risks.
- [SAFE]: No obfuscation, prompt injection, or persistence mechanisms were detected in any of the analyzed files.
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