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-ai-toolsgit 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-ai-tools)<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/jetson-ai-tools"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/jetson-ai-tools.svg" alt="Measured on agentmods" 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 | $0.00068 | $0.00942 |
| Opus 5 | $0.00034 | $0.00471 |
| Sonnet 5 | $0.00014 | $0.00188 |
| Haiku 4.5 | $0.00007 | $0.00094 |
Grade A, and why
jetson-ai-tools 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 8d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jetson AI Developer Tools
This is a knowledge-base skill. Use it to recommend AI developer tools available for Seeed Jetson devices and point users to getting-started guides.
Execution model
This skill is informational — no destructive commands. Match the user's use case to the appropriate tool and provide the relevant links.
Phase 1 — identify the user's use case
Determine what the user needs:
- Video analytics / computer vision → CVEDIA-RT, Lumeo, YOLOv5/v8, Roboflow
- General CV application platform → alwaysAI
- Object detection with custom training → YOLOv5/v8 + Roboflow
- Device management / remote monitoring → Allxon
- Model optimization / deployment → Deci
- ML on edge with low-code → Edge Impulse
- Sound/audio detection → Cochl.Sense
[OK] when use case is identified.
Tool directory
| Tool | Description | Links |
|---|---|---|
| CVEDIA-RT | Modular cross-platform AI inference engine for decision support | Site · Jetson Guide |
| Lumeo | No-code video analytics platform | Site · Jetson Guide |
| alwaysAI | Platform for building/deploying CV apps on IoT | Site · Jetson Guide |
| YOLOv8 | SOTA object detection, segmentation, pose estimation | GitHub · Jetson TRT+DeepStream |
| YOLOv5 | Real-time object detection | Site · Few-Shot Detection |
| Roboflow | Image annotation and model training platform | Site · Road Signs · Wildfire |
| Allxon | Edge device management for Jetson | Site · Jetson Guide |
| Deci | End-to-end DL model optimization and deployment | Site · Jetson Guide |
| Edge Impulse | Low-code ML development for edge devices | Site · Hard Hat Detection |
| Cochl.Sense | Machine listening / audio classification | Site · Jetson Guide |
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.
- 8d ago First seen · 65 lines · 68 tokens per session scan A 7c757951b1bd
jetson-ai-tools is a skill published in the GitHub repository Seeed-Projects/Seeed-Jetson-DevelopTool (54 stars, last pushed today), licensed MIT. It adds 68 tokens to every session and 942 once invoked, about $0.0003 per session on Opus 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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