scientific-simulation

Pass

Audited by Gen Agent Trust Hub on Mar 12, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill employs directive language and meta-instructions to establish a domain-specific persona. These constraints are focused on ensuring physical accuracy (e.g., adherence to first principles) rather than bypassing safety filters or exfiltrating system data.
  • [SAFE]: The provided Python code examples utilize standard, well-known scientific libraries including NumPy, SciPy, and Matplotlib. No instances of unauthorized network operations, sensitive file access, or credential exposure were found.
  • [SAFE]: No obfuscation techniques such as Base64-encoded strings, zero-width characters, or homoglyphs were detected within the file content.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 12, 2026, 06:05 AM