jetson-package SKILL.md skillA
jetson-package from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/jetson-package@v0.0.1Pins v0.0.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia/skills
- Path
skills/jetson-package/SKILL.md- Versions recorded
- 1
- Latest version
- v0.0.1, committed Jun 22, 2026
- Size
- 7,336 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Pick Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes; maps Orin SM 8.7 vs Thor SM 11.0 and JetPack-specific package choices.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Jetson Package & Environment Agents often suggest `docker pull` images or `pip install` wheels that claim **aarch64** support but were never built for Jetson’s GPU **streaming multiprocessor (SM)** targets. On Jetson, **default to NVIDIA-curated artifacts** unless the user explicitly opts out. ## Purpose Choose Jetson-compatible containers and Python package indexes before installing GPU-native ML stacks. This skill prevents agents from recommending generic ARM wheels or stale container tags that do not include the right CUDA, JetPack, or SM target for the device. ## When to use - "Which Docker image / container should I use on this Jetson?" - "Where do I get PyTorch / vLLM / CUDA wheels for Jetson?" - "`pip install` failed" or "wrong CUDA / SM" after installing a generic ARM wheel. - Before `docker run` or `pip install` for ML stacks on Orin or Thor. - User or agent looks for `l4t-cuda` containers on NGC — redirect to `nvcr.io/nvidia/cuda` (multi-arch). - "Which PyTorch container should I use on Jetson?" — answer depends on Thor vs Orin and JetPack version. ## Canonical sources (use these first) …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/jetson-package@sha256:e7f8ab40a2ba8750The line at the top of this page pins the label v0.0.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ibeaflwxbqyldwxi)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 22, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7336 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ibeaflwxbqyldwxi GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/jetson-package GET https://markdownregistry.com/api/v1/blob/e7f8ab40a2ba875045fa3fb15f524394cee1d85b4bbf7f80831fc79acec4dbd0
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.