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 yolov11-depth-distancegit 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/yolov11-depth-distance)<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/yolov11-depth-distance"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/yolov11-depth-distance/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/yolov11-depth-distance"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/yolov11-depth-distance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Privilege Escalation · line 39 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Privilege Escalation · line 155 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
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 | $0.00079 | $0.01347 |
| Opus 5 | $0.00039 | $0.00674 |
| Sonnet 5 | $0.00016 | $0.00269 |
| Haiku 4.5 | $0.00008 | $0.00135 |
Grade B, and why
yolov11-depth-distance 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 apt-get install python3-dev python3-venv python3-pip python3-opencv cmake g++ gcc Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
wget -O yolo11n.pt https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YOLOv11 + Depth Camera Distance Measurement on Jetson Orin
Combine YOLOv11 object detection with Orbbec Gemini 2 depth camera on reComputer J4012 to detect objects and measure real-world 3D distances between them in real time using TensorRT acceleration.
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 J4012 (Orin NX 16GB) or similar reComputer |
| JetPack | 5.1.3 pre-installed |
| Camera | Orbbec Gemini 2 Depth Camera + USB Type-C cable |
| TensorRT | 8.x (included with JetPack 5.x) |
| Python | 3.8 |
Phase 1 — Install Orbbec Gemini 2 Python SDK (~10 min)
Clone and install dependencies:
git clone https://github.com/orbbec/pyorbbecsdk.git
sudo apt-get install python3-dev python3-venv python3-pip python3-opencv cmake g++ gcc
pip install pybind11
Install Python requirements:
cd pyorbbecsdk
pip install -r requirements.txt
Build the SDK:
mkdir build
cd build
cmake \
-Dpybind11_DIR=`pybind11-config --cmakedir` \
-DPython3_EXECUTABLE=/usr/bin/python3.8 \
-DPython3_INCLUDE_DIR=/usr/include/python3.8 \
-DPython3_LIBRARY=/usr/lib/aarch64-linux-gnu/libpython3.8.so \
..
make -j4
make install
Install the Python wheel:
cd /path/to/pyorbbecsdk
pip install wheel
python setup.py bdist_wheel
pip install dist/*.whl
[OK] when import pyorbbecsdk works in Python. [STOP] if cmake or make fails.
Phase 2 — Test depth camera (~2 min)
Create a test script or use the SDK examples to verify the camera outputs both RGB and depth frames. Connect the Gemini 2 via USB-C and run:
python test.py
Expected: A window showing RGB image on the left and depth colormap on the right.
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 · 168 lines · 79 tokens per session scan B 68bf4a922ad0
yolov11-depth-distance is a skill published in the GitHub repository Seeed-Projects/Seeed-Jetson-DevelopTool (54 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 1,347 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, 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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