skills/quantskills/skill-fundamental-factor-analysis/fundamental-factor-analysis/Gen Agent Trust Hub
fundamental-factor-analysis
Pass
Audited by Gen Agent Trust Hub on Aug 11, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides comprehensive tools for financial analysis using the
panda_datalibrary, which is a resource associated with the quantskills ecosystem. - [SAFE]: The Python implementation in
ep_factor_analysis.pyfollows best practices for quantitative research, including data cleaning, winsorization, and cross-sectional standardization. - [SAFE]: Prompt templates are well-structured for financial reporting and do not contain patterns for jailbreaking or instruction bypass.
- [SAFE]: All identified Python packages (pandas, numpy, scipy, statsmodels) are standard for data science, and the library
panda_datais utilized for its intended purpose of fetching financial data. - [SAFE]: No obfuscated URLs, hidden base64 commands, or unauthorized file access attempts were discovered across the skill's scripts and documentation.
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