Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/local-chatbot-physical)<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/local-chatbot-physical"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/local-chatbot-physical.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00065 | $0.01303 |
| Opus 5 | $0.00032 | $0.00651 |
| Sonnet 5 | $0.00013 | $0.00261 |
| Haiku 4.5 | $0.00006 | $0.00130 |
Grade B, and why
local-chatbot-physical scanned grade B with 2 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 6d 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 tee /etc/docker/daemon.json > /dev/null << 'EOF' Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:11434/api/tags This is a copy
88% identical to local-chatbot-multimodal — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice-Interactive Chatbot on Jetson (Physical AI)
Deploy a fully local voice chatbot for physical AI use cases — the system listens, reasons with a local LLM, and speaks back. Uses NVIDIA Riva for speech processing and Ollama for inference, all running in Docker on Jetson hardware.
Execution model
Run one phase at a time. After each phase:
- Relay all output to the user.
- If output contains
[STOP]→ stop, consult the failure decision tree. - If output ends with
[OK]→ tell the user "Phase N complete" and proceed.
Prerequisites
| Requirement | Detail |
|---|---|
| Hardware | NVIDIA Jetson (AGX Orin recommended for larger models) |
| JetPack | 6.0+ |
| Docker | Installed with NVIDIA runtime |
| NGC Account | API key from catalog.ngc.nvidia.com |
| Audio | Microphone and speaker connected to Jetson |
Phase 1 — Install Jetson Containers and Ollama (~5 min)
git clone https://github.com/dusty-nv/jetson-containers
bash jetson-containers/install.sh
Run Ollama and pull a model:
jetson-containers run --name ollama $(autotag ollama)
Inside the container:
ollama run llama3.2:1b
Type /bye to exit after confirming the model loads.
Verify from host:
curl http://localhost:11434/api/tags
[OK] when curl returns JSON listing the model.
[STOP] if Ollama container fails to start — check Docker and NVIDIA runtime.
Phase 2 — Install and configure NGC CLI (~3 min)
mkdir -p ~/ngc_setup && cd ~/ngc_setup
wget --content-disposition https://api.ngc.nvidia.com/v2/resources/nvidia/ngc-apps/ngc_cli/versions/3.36.0/files/ngccli_arm64.zip
unzip ngccli_arm64.zip
chmod u+x ngc-cli/ngc
echo "export PATH=\"\$PATH:$(pwd)/ngc-cli\"" >> ~/.bash_profile
source ~/.bash_profile
ngc config set
Enter your NGC API key when prompted.
[OK] when ngc config current shows your org/team.
[STOP] if API key is rejected — regenerate at catalog.ngc.nvidia.com.
Phase 3 — Install NVIDIA Riva (~15–30 min)
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.
- 6d ago First seen · 172 lines · 65 tokens per session scan B 65a86eadfe40
local-chatbot-physical is a skill published in the GitHub repository Seeed-Projects/Seeed-Jetson-DevelopTool (54 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 1,303 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). It is 88% identical to local-chatbot-multimodal, differing in 8 lines, and is treated as a copy.
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