Skills
skills/heshamfs/materials-simulation-skills/numerical-stability/Gen Agent Trust Hub

numerical-stability

Pass

Audited by Gen Agent Trust Hub on May 18, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides a suite of Python scripts for numerical stability analysis, such as CFL/Fourier checks, stiffness detection, and matrix conditioning, which operate purely on mathematical data.
  • [SAFE]: No remote code execution, network exfiltration, or credential harvesting patterns were detected in the scripts or instructions.
  • [SAFE]: Input validation is implemented within the Python scripts to ensure that parameters like grid spacing, time steps, and velocities are valid finite numbers.
  • [SAFE]: Matrix file loading via numpy.load is performed safely, relying on modern NumPy defaults to prevent arbitrary code execution from untrusted data files.
  • [SAFE]: The documentation includes comprehensive security and error handling sections that align with the implementation of the provided scripts.
Audit Metadata
Risk Level
SAFE
Analyzed
May 18, 2026, 03:14 PM
Security Audit — agent-trust-hub — numerical-stability