matlab-train-network
Pass
Audited by Gen Agent Trust Hub on Jul 31, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is a technical guide for MATLAB users to migrate from legacy neural network APIs to modern R2024a+ deep learning functions. All code examples provided use standard MATLAB syntax for training (trainnet, fitcnet), inference (minibatchpredict), and evaluation (testnet).
- [SAFE]: No obfuscated code, hidden URLs, or malicious data exfiltration patterns were found. The skill does not perform any network operations or access sensitive system paths.
- [SAFE]: The skill is authored by MathWorks, the vendor of MATLAB, and the instructions are consistent with official documentation. The use of MATLAB-specific tools like evaluate_matlab_code is appropriate for the stated purpose of training neural networks.
- [INDIRECT_PROMPT_INJECTION]: The skill processes user-provided data (e.g., tables or image datastores) for training. While this presents a theoretical attack surface for indirect prompt injection via data poisoning, it is a core functional requirement of the skill and no specific vulnerabilities were identified. Boundaries are naturally formed by the MATLAB execution environment.
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