computer-vision-guide
Pass
Audited by Gen Agent Trust Hub on Mar 31, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a technical reference for computer vision tasks and research methodology.
- [COMMAND_EXECUTION]: The provided Python code snippets use standard libraries such as
osandpathlibfor organizing local image datasets. These operations are benign and consistent with the skill's stated purpose of dataset preparation. - [EXTERNAL_DOWNLOADS]: The skill includes code for initializing models with pre-trained weights via
torchvision.models. These weights are retrieved from official, well-known PyTorch repositories during runtime, which is a standard and safe practice in machine learning development. - [PROMPT_INJECTION]: No instructions were found that attempt to override agent behavior, bypass safety filters, or extract system prompts.
- [DATA_EXFILTRATION]: No network operations, hardcoded credentials, or sensitive file access patterns were detected.
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