The Agent Skills Directory

[SAFE]: The skill provides a standard quantitative research framework for financial factors, including IC/IR analysis and quantile backtesting. It documents a clear workflow for data preparation and statistical interpretation.
[SAFE]: Dependency requirements (pandas, numpy, scipy) are well-known, standard libraries for data analysis and do not involve suspicious or unverified packages.
[SAFE]: The Python code snippets provided illustrate internal library usage for factor computation and registry management, consistent with legitimate quantitative development workflows.
[SAFE]: No evidence of prompt injection, data exfiltration, or obfuscation was found. The instructions focus on preventing common financial analysis pitfalls like look-ahead bias and survivorship bias.

factor-research