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 pycse dependency 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
Risk Level
SAFE
Analyzed
Jun 20, 2026, 12:38 AM
Security Audit — agent-trust-hub — design-of-experiments