model-equivariance-auditor
Pass
Audited by Gen Agent Trust Hub on Sep 21, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security issues were detected during the analysis of the skill. The instructions and code templates provided are focused on legitimate neural network auditing tasks and best practices for model verification.
- [EXTERNAL_DOWNLOADS]: The skill utilizes well-known and trusted scientific libraries, including PyTorch, NumPy, and SciPy, for numerical computations and data handling. These are standard dependencies in the machine learning domain.
- [NO_CODE]: The skill does not contain any suspicious shell commands, network operations, or persistence mechanisms. All logic is self-contained within the provided Python templates and markdown documentation, and no automated script execution from untrusted sources is present.
Audit Metadata