onboard-jetpack5-inference-backends
onboard-jetpack5-inference-backends is an MLOps & model serving skill for AI agents, published by EGalahad in the sim2real repository on GitHub. Skillspace rates onboard-jetpack5-inference-backends B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Install, convert, debug, and benchmark sim2real ONNX GPU and TensorRT inference backends on onboard JetPack 5 Orin hosts such as g1-cable. Use when a task mentions JetPack 5, L4T R35, onboard Orin, onnx-gpu, CUDAExecutionProvider, TensorRT 8.5, policy ONNX conversion, or sim2real inference benchmark failures on the robot computer.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 88
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- Not declared. Check the repository before reusing it.
- 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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