experimental-design
Pass
Audited by Gen Agent Trust Hub on Sep 3, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill installs standard Python dependencies (
numpy,pandas,pyDOE3) from the official Python Package Index (PyPI) to facilitate scientific computations. - [COMMAND_EXECUTION]: The skill utilizes the
Bashtool to manage package installation and execute local Python scripts for generating experimental layouts and randomization schedules. - [INDIRECT_PROMPT_INJECTION]: The skill processes user-supplied information such as factor names and treatment levels to generate experimental designs.
- Ingestion points: User-provided parameters are passed to
scripts/randomization.pyandscripts/doe_designs.pyinSKILL.md. - Boundary markers: None explicitly defined, though user data is handled as string values within Python dictionaries and pandas DataFrames.
- Capability inventory: The skill has access to
Bash,Read,Write, andEdittools. - Sanitization: The provided scripts treat user input as data for CSV headers and cell values; no instances of dynamic shell command construction or code execution using these inputs were found.
Audit Metadata