ultralytics-jetson-setup
ultralytics-jetson-setup is a Computer vision skill for AI agents, published by Seeed-Projects in the Seeed-Jetson-DevelopTool repository on GitHub. Skillspace rates ultralytics-jetson-setup B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Set up the Ultralytics YOLO environment on NVIDIA Jetson (JetPack 6.0+) for YOLOv8, YOLOv11, or YOLOv26. Installs GPU-enabled torch 2.8, torchvision with CUDA NMS support, onnxruntime-gpu, and ultralytics, then validates TensorRT engine compatibility. Use when the user asks to install, deploy, or fix any YOLO model (v8 / v11 / v26) on Jetson.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 51
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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