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.
npx skills add Seeed-Projects/Seeed-Jetson-DevelopTool --skill jetson-tutorial-exercisesgit clone --depth 1 https://github.com/Seeed-Projects/Seeed-Jetson-DevelopToolWrote 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.
[](https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/jetson-tutorial-exercises)<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/jetson-tutorial-exercises"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/jetson-tutorial-exercises/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/jetson-tutorial-exercises"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/jetson-tutorial-exercises.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.00675 |
| Opus 5.5 | $0.00018 | $0.00270 |
| Sonnet 5.5 | $0.00009 | $0.00135 |
| Haiku 4.5 | $0.00005 | $0.00068 |
Grade A, and why
jetson-tutorial-exercises scanned grade A with 0 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jetson Tutorials and Exercises
This is a knowledge-base skill. Use it to recommend learning resources, tutorials, and certification courses for Jetson developers.
Execution model
This skill is informational — no commands to execute. Match the user's learning goal to the appropriate tutorial or course.
Phase 1 — identify the user's learning goal
Determine what the user wants to learn:
- Video analytics / DeepStream → Video AI course
- Image classification / object detection → DLI AI course (Part 1)
- Robotics / JetBot → JetBot course (Part 2)
- General AI inference on Jetson → Hello AI World (Part 3)
- Hands-on AI with Jupyter → Apply AI on Jetson Nano
- Edge computing for video → Building Edge Computing Apps
[OK] when learning goal is identified.
Tutorial and course directory
Official Jetson Tutorials
https://developer.nvidia.com/embedded/learn/tutorials
Building Video AI on Jetson (DeepStream)
Learn video analytics with NVIDIA DeepStream SDK for AI-based video understanding. https://courses.nvidia.com/courses/course-v1:DLI+S-IV-02+V2-EN/
Jetson AI Certification Program
Free open-source courses with certificate upon completion: https://developer.nvidia.com/embedded/learn/jetson-ai-certification-programs#course_outline
| Part | Topic | Link |
|---|---|---|
| 1 | DLI Intro AI on Jetson Nano — classification & regression with Jupyter | https://developer.nvidia.com/embedded/learn/jetson-ai-certification-programs#collapseTwo |
| 2 | JetBot — open-source AI robotics platform (optional) | https://developer.nvidia.com/embedded/learn/jetson-ai-certification-programs#collapseThree |
| 3 | Hello AI World — real-time inference (classification, detection, segmentation) | https://developer.nvidia.com/embedded/learn/jetson-ai-certification-programs#collapseFour |
Apply AI on Jetson Nano
Hands-on deep learning classification with Jupyter on Jetson Nano: https://courses.nvidia.com/courses/course-v1:DLI+S-RX-02+V2/about
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.
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.
- 1mo ago First seen · 76 lines · 45 tokens per session scan A f23b44e21807
jetson-tutorial-exercises is a skill published in the GitHub repository Seeed-Projects/Seeed-Jetson-DevelopTool (56 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 675 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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