numerical-stability

Pass

Audited by Gen Agent Trust Hub on Feb 17, 2026

Risk Level: SAFE
Full Analysis
  • [No Code Issues] (SAFE): All included Python scripts are focused on physics and math (CFL limits, Fourier numbers, Von Neumann analysis). Code is clean and uses standard libraries.
  • [Data Exposure] (SAFE): No evidence of credential searching or access to sensitive paths (~/.ssh, etc.).
  • [External Downloads] (SAFE): Only standard numpy is required. No untrusted third-party packages or remote scripts.
  • [Indirect Prompt Injection] (LOW): The skill allows reading user-provided matrix files.
  • Ingestion points: matrix_condition.py (--matrix) and stiffness_detector.py (--jacobian).
  • Boundary markers: Absent.
  • Capability inventory: Bash, Write, Read.
  • Sanitization: Data is parsed into NumPy arrays; no executable logic is derived from input content.
  • [Prompt Injection] (SAFE): No instructions found that attempt to subvert the agent's core safety filters or extract system prompts.
Audit Metadata
Risk Level
SAFE
Analyzed
Feb 17, 2026, 06:44 PM