mat-grand-canonical-mc
Pass
Audited by Gen Agent Trust Hub on Jun 19, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security threats identified. The skill provides legitimate research tools for materials science simulations.
- [SAFE]: The Python scripts utilize established scientific libraries such as smol, pymatgen, numpy, and matplotlib for data processing and visualization.
- [SAFE]: File system interactions are limited to reading simulation parameters from JSON files and writing results, trajectory files, and plots to specified local directories.
- [SAFE]: No evidence of prompt injection, obfuscation, or persistence mechanisms was found in the skill's instructions or implementation.
- [SAFE]: All external references point to reputable academic resources or the author's official GitHub repository, matching the provided vendor context.
Audit Metadata