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 voice-llm-reachy-mini-multimodalgit 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/voice-llm-reachy-mini-multimodal)<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/voice-llm-reachy-mini-multimodal"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/voice-llm-reachy-mini-multimodal/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/voice-llm-reachy-mini-multimodal"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/voice-llm-reachy-mini-multimodal.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00069 | $0.00879 |
| Opus 5 | $0.00034 | $0.00439 |
| Sonnet 5 | $0.00014 | $0.00176 |
| Haiku 4.5 | $0.00007 | $0.00088 |
Grade C, and why
voice-llm-reachy-mini-multimodal scanned grade C 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 9d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://ollama.com/install.sh | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://ollama.com/install.sh | sh Copies of this mod
1 near-identical copy found in the catalogue:
- voice-llm-reachy-mini-physical — 92% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local Voice LLM on reComputer Mini for Reachy Mini (Multimodal)
Build a low-latency, privacy-first voice assistant on reComputer Mini J501 paired with Reachy Mini robot. Uses local speech recognition, Ollama LLM, and speech synthesis for embodied human-robot interaction.
Execution model
Run one phase at a time. After each phase:
- Relay all output to the user.
- If output contains
[STOP]→ stop immediately, consult the failure decision tree. - If output ends with
[OK]→ tell the user "Phase N complete" and proceed to the next phase.
Prerequisites
| Requirement | Detail |
|---|---|
| Jetson device | reComputer Mini J501 Kit (carrier board + Jetson module + cooling) |
| Robot | Reachy Mini Lite, connected via USB Type-A to J501 |
| JetPack | 6.2 |
| Network | Internet access for model downloads and repo cloning |
Phase 1 — Install Ollama and pull LLM (~15 min)
curl -fsSL https://ollama.com/install.sh | sh
ollama pull llama3.2-vision:11b
The model download takes approximately 10 minutes.
[OK] when ollama pull completes. [STOP] if install fails or download errors out.
Phase 2 — Install conversation application (~5 min)
cd Downloads
git clone https://github.com/Seeed-Projects/reachy-mini-loacl-conversation.git
cd reachy-mini-loacl-conversation
pip install -r requirements.txt -i https://pypi.jetson-ai-lab.io/
pip install "reachy-mini"
[OK] when all pip installs complete without error. [STOP] if dependency installation fails.
Phase 3 — Launch the application (~2 min)
In one terminal, start the Reachy Mini daemon:
reachy-mini-daemon
In a second terminal, set environment variables and launch:
export OLLAMA_HOST="http://localhost:11434"
export OLLAMA_MODEL="qwen2.5:7b"
export COQUI_MODEL_NAME="tts_models/zh-CN/baker/tacotron2-DDC-GST"
export DEFAULT_VOLUME="1.5"
python main.py
Use R key to start recording and S key to stop. The LLM will generate a spoken response.
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.
- 9d ago First seen · 101 lines · 69 tokens per session scan C 1b1f927a4b0c
voice-llm-reachy-mini-multimodal is a skill published in the GitHub repository Seeed-Projects/Seeed-Jetson-DevelopTool (55 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 879 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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