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 agentmods add skills/seeed-projects/seeed-jetson-developtool/deploy-depth-anything-v3npx skills add Seeed-Projects/Seeed-Jetson-DevelopTool --skill deploy-depth-anything-v3git 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/deploy-depth-anything-v3)<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/deploy-depth-anything-v3"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/deploy-depth-anything-v3.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 | $0.00069 | $0.01250 |
| Opus 5 | $0.00034 | $0.00625 |
| Sonnet 5 | $0.00014 | $0.00250 |
| Haiku 4.5 | $0.00007 | $0.00125 |
Grade B, and why
deploy-depth-anything-v3 scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt update How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deploy Depth Anything V3 on Jetson AGX Orin
Depth Anything V3 generates high-quality depth maps from single RGB images. This skill deploys it on Jetson AGX Orin with ROS2 and TensorRT acceleration for real-time robotics use.
Execution model
Run one phase at a time. After each phase:
- Relay all output to the user.
- If output contains
[STOP]→ stop immediately, consult the failure decision tree. - If output ends with
[OK]→ tell the user "Phase N complete" and proceed to the next phase.
Prerequisites
| Requirement | Detail |
|---|---|
| Hardware | Jetson AGX Orin (e.g. reComputer Mini J501) |
| JetPack | 6.2 |
| ROS2 | Humble installed and sourced |
| Camera | USB camera connected |
| Network | Internet for cloning repos and downloading ONNX models |
Phase 1 — Install system dependencies (~3 min)
sudo apt update
sudo apt install -y \
build-essential cmake git libopencv-dev \
python3-pip python3-colcon-common-extensions v4l-utils
pip3 install numpy opencv-python
[OK] when all packages install without error.
Phase 2 — Configure CUDA environment (~1 min)
echo '
# CUDA Environment
export CUDA_HOME=/usr/local/cuda
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export CUDACXX=$CUDA_HOME/bin/nvcc
' >> ~/.bashrc
source ~/.bashrc
nvcc --version
[OK] when nvcc --version prints CUDA version info. [STOP] if nvcc is not found.
Phase 3 — Install ROS2 camera packages (~2 min)
sudo apt install -y ros-humble-usb-cam ros-humble-cv-bridge \
ros-humble-image-transport ros-humble-image-geometry ros-humble-rviz2
[OK] when all ROS2 packages install successfully.
Phase 4 — Clone and build the ROS2 workspace (~5 min)
git clone https://github.com/zibochen6/ros2-depth-anything-v3-trt.git
cd ros2-depth-anything-v3-trt
colcon build --packages-select depth_anything_v3 --cmake-args -DCMAKE_BUILD_TYPE=Release
source install/setup.bash
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 · 164 lines · 69 tokens per session scan B ca478ec67c30
deploy-depth-anything-v3 is a skill published in the GitHub repository Seeed-Projects/Seeed-Jetson-DevelopTool (54 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 1,250 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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spark-training-gotchas
Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.
llama-cpp
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.
amc-run-video-calibration
Calibrates pre-recorded cam.mp4 datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to amc-run-rtsp-calibration.