design-of-experiments
Pass
Audited by Gen Agent Trust Hub on Jun 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill uses well-known, trusted scientific libraries for statistical analysis and optimization, including scipy, scikit-learn, statsmodels, and botorch.
- [SAFE]: The
pycsedependency is a library maintained by the skill's author (jkitchin), which is consistent with the vendor context and represents normal functionality for this developer. - [SAFE]: No suspicious command execution, data exfiltration, or obfuscation patterns were detected in the instructions, documentation, or code examples.
- [SAFE]: The interactive guidance logic incorporates best practices by instructing the agent to ask clarifying questions before proposing experimental designs, ensuring user oversight.
Audit Metadata