analytical-method-validation
Pass
Audited by Gen Agent Trust Hub on Jul 28, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements complex statistical models (Deming regression, Passing-Bablok, TOST equivalence) entirely within the Python standard library. It does not require external dependencies or network access to function.
- [EXTERNAL_DOWNLOADS]: The documentation contains links to official ICH, USP, CLSI, and ISO guideline documents. These are informational references to trusted international standards organizations and do not involve the download or execution of remote code at runtime.
- [SAFE]: The Python scripts use a self-referential import pattern (
__import__("pathlib")) to add their own directory to the system path for local module discovery. This is a standard practice for multi-file scripts and does not constitute a dynamic loading vulnerability from untrusted sources. - [SAFE]: The skill processes structured data (CSV, TSV, JSON). All inputs intended for statistical analysis are explicitly converted to floating-point numbers using strict validation. This design effectively prevents data-driven prompt injection or command execution via the processed files.
Audit Metadata