math-modeling
Pass
Audited by Gen Agent Trust Hub on Mar 4, 2026
Risk Level: SAFE
Full Analysis
- [DATA_EXPOSURE_AND_EXFILTRATION]: No sensitive data access or network-based exfiltration patterns were detected. The scripts interact exclusively with local data files (CSV, Excel) and save results to local directories.
- [UNVERIFIABLE_DEPENDENCIES]: The skill references well-known Python libraries (e.g., NumPy, Pandas, Scipy, Scikit-learn, Matplotlib) for scientific computing and visualization. No dependencies on unknown or suspicious remote sources were found.
- [INDIRECT_PROMPT_INJECTION]: The skill includes functionality to read user-provided Excel and CSV files via the
analyze_appendix.pyscript and various solution templates. While this constitutes an attack surface for indirect prompt injection, the risk is minimized by the lack of shell execution capabilities and the numeric/structured nature of the processing scripts. - [DYNAMIC_EXECUTION]: No usage of risky dynamic execution functions such as
eval(),exec(), or unsafe deserialization (pickle.load()) was found across the 113 analyzed files.
Audit Metadata