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
numpyis 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) andstiffness_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