experimental-design
Pass
Audited by Gen Agent Trust Hub on Aug 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill includes well-structured Python scripts for generating experimental matrices and randomization schedules. The code uses standard libraries (numpy, pandas) and focuses exclusively on computational design without network access or sensitive file operations.
- [EXTERNAL_DOWNLOADS]: The instructions recommend installing standard scientific packages (
numpy,pandas,pyDOE3) using a package manager. These dependencies are relevant to the skill's stated purpose and originate from official package registries.
Audit Metadata