jetson-docker-setup

jetson-docker-setup is a skill for Claude Code, Codex from Seeed-Projects/Seeed-Jetson-DevelopTool. It costs 52 tokens per session (1,091 once invoked), scanned D, original, MIT.

A guide to running Docker containers with GPU support on Seeed reComputer Jetson devices. Docker is software that packages applications and their dependencies into isolated containers.

In plain words
What is it for?
Use it to verify Docker and CUDA, install Docker Compose, run GPU-enabled containers, and monitor the device with JTOP.
Why use it?
It checks that Docker, NVIDIA GPU support, CUDA, and Compose are working before you rely on containers for Jetson workloads.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/seeed-projects/seeed-jetson-developtool/jetson-docker-setup
Any agent
npx skills add Seeed-Projects/Seeed-Jetson-DevelopTool --skill jetson-docker-setup
Clone the repo
git clone --depth 1 https://github.com/Seeed-Projects/Seeed-Jetson-DevelopTool

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for jetson-docker-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/jetson-docker-setup.svg)](https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/jetson-docker-setup)
Your own site
<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/jetson-docker-setup"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/jetson-docker-setup.svg" alt="Measured on agentmods" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,091 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 3 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00052 $0.01091
Opus 5 $0.00026 $0.00545
Sonnet 5 $0.00010 $0.00218
Haiku 4.5 $0.00005 $0.00109

Measured 5d ago against content hash 14bb73ab75c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade D, and why

jetson-docker-setup scanned grade D with 3 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo docker version

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

&& rm -rf /var/cache/apk/*

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/sbsa/cuda-ubuntu1804.pin
seeed_jetson_develop/skills/openclaw/jetson-docker-setup/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Getting Started with Docker on Jetson

Set up and use Docker on Seeed reComputer Jetson devices. Docker comes pre-installed on reComputer. This skill covers verification, Docker Compose installation, CUDA testing, and GPU-enabled container workflows.

Hardware: reComputer J1020 (Jetson Nano) or compatible Jetson device Software: JetPack 4.6+ (Docker pre-installed)


Execution model

Run one phase at a time. After each phase:

  • If output contains [STOP] → stop immediately, consult the failure decision tree
  • If output ends with [OK] → tell the user "Phase N complete" and proceed

Phase 1 — verify Docker installation (~30 s)

sudo docker version

Expected: Docker Engine 20.10+ with OS/Arch: linux/arm64.

docker info | grep -i runtime

Expected: nvidia should appear in the runtimes list.

[OK] when Docker is running and nvidia runtime is available. [STOP] if Docker is not installed or nvidia runtime missing.


Phase 2 — verify CUDA (~1 min)

cd /usr/local/cuda/samples/1_Utilities/deviceQuery
sudo make
./deviceQuery

Expected: Result = PASS with device info (e.g. "NVIDIA Tegra X1").

[OK] when CUDA deviceQuery passes.


Phase 3 — install Docker Compose (~2 min)

export DOCKER_COMPOSE_VERSION=2.6.0
sudo apt-get install -y libhdf5-dev libssl-dev
sudo pip3 install docker-compose=="${DOCKER_COMPOSE_VERSION}"

If pip3 is not available:

sudo apt-get install -y python3 python3-pip
pip install docker-compose

[OK] when docker-compose --version returns successfully.


Phase 4 — install CUDA toolkit (optional, ~5 min)

Only needed if upgrading CUDA beyond the pre-installed version:

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/sbsa/cuda-ubuntu1804.pin
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda-repo-ubuntu1804-11-3-local_11.3.1-465.19.01-1_arm64.deb
sudo dpkg -i cuda-repo-ubuntu1804-11-3-local_11.3.1-465.19.01-1_arm64.deb
sudo apt-key add /var/cuda-repo-ubuntu1804-11-3-local/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda

Read the full file on GitHub · 141 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 141 lines · 52 tokens per session scan D 14bb73ab75c8

Subscribe to this mod's changes

jetson-docker-setup is a skill published in the GitHub repository Seeed-Projects/Seeed-Jetson-DevelopTool (54 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 1,091 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it D with 3 findings (asks for root, recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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