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.
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