scientific-materials-characterization

Pass

Audited by Gen Agent Trust Hub on Jun 17, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill contains standard Python implementations for scientific formulas including the Scherrer equation, Williamson-Hall plots, and the Stoney equation.
  • [SAFE]: Data processing is performed using well-known libraries such as NumPy, SciPy, and Matplotlib for plotting results to local directories ('results/' and 'figures/').
  • [SAFE]: External integration is defined for 'Materials Project', which is a recognized and well-known scientific database for material properties.
  • [SAFE]: No evidence of prompt injection, data exfiltration, obfuscation, or unauthorized command execution was found in the provided instructions or code snippets.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 17, 2026, 06:08 PM
Security Audit — agent-trust-hub — scientific-materials-characterization