quant-statistics
Pass
Audited by Gen Agent Trust Hub on Aug 15, 2026
Risk Level: SAFE
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill references well-known statistical libraries
statsmodelsandarchfor its operations. It provides instructions to install these dependencies viapipif they are missing from the environment. These are established, trustworthy packages from the official Python Package Index (PyPI). - [INDIRECT_PROMPT_INJECTION]:
- Ingestion points: The skill processes numerical financial data, including price series, log returns, and factor dataframes in
SKILL.mdexamples. - Boundary markers: Not applicable, as the ingested data is purely numerical and formatted for mathematical processing rather than natural language interpretation.
- Capability inventory: Capabilities include statistical tests (ADF, Cointegration, GARCH) and regression diagnostics performed via internal and open-source libraries. No file-write or outbound network capabilities are exposed to the data.
- Sanitization: Input data is expected to be in structured numerical formats (NumPy arrays or Pandas series), which do not support embedded instruction execution in this context.
Audit Metadata