computer-vision-warehouse

Pass

Audited by Gen Agent Trust Hub on Sep 15, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill serves as a template for computer vision applications. It demonstrates the use of standard libraries like OpenCV, TensorFlow, and YOLO for object detection and tracking. No malicious instructions, obfuscation, or unauthorized data access mechanisms were found.
  • [INDIRECT_PROMPT_INJECTION]: The skill includes functions to process external image data (e.g., image_path in YOLO and CNN models). While this constitutes an ingestion point for untrusted data, the skill does not possess the exploitable capabilities (such as network exfiltration or shell command execution) necessary to create a viable attack surface.
  • [EXTERNAL_DOWNLOADS]: The code references common machine learning frameworks and libraries including tensorflow and ultralytics. These are well-known, standard dependencies for the tasks described and are appropriate for the skill's intended use case.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 15, 2026, 07:23 PM