analytical-method-validation
Pass
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements all statistical functions, including distribution quantiles and complex regressions, from first principles using only the Python standard library. This approach avoids any reliance on external dependencies or third-party package registries.
- [SAFE]: All external links and resources point to official domains of established regulatory and standards organizations (such as ich.org, usp.org, and iso.org), which are recognized as trusted sources for technical guidelines.
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to process external data files in CSV, TSV, and JSON formats via
_common.py. The ingestion process includes strict numeric validation using theto_floathelper, which ensures that untrusted data inputs are interpreted strictly as mathematical values and cannot influence the agent's logic or prompt context. - [DYNAMIC_EXECUTION]: Static analysis detected dynamic module loading patterns in the scripts. Manual review confirms these calls utilize static string literals (e.g.,
__import__("pathlib")) specifically for environment-agnostic path resolution for local utility modules, representing a standard and benign development practice.
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