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 traffic-deepstreamgit 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/traffic-deepstream)<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/traffic-deepstream"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/traffic-deepstream/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/traffic-deepstream"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/traffic-deepstream.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 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 34 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 42 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 44 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 55 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 71 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 79 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 | $0.00056 | $0.00932 |
| Opus 5 | $0.00028 | $0.00466 |
| Sonnet 5 | $0.00011 | $0.00186 |
| Haiku 4.5 | $0.00006 | $0.00093 |
Grade B, and why
traffic-deepstream 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 5d 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 cp -a * /opt/nvidia/deepstream/deepstream/samples/configs/tao_pretrained_models/ Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
sudo apt install -y wget zip How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Traffic Management with DeepStream SDK
Execution model
Run one phase at a time. After each phase, verify the expected result before continuing.
- If a phase succeeds → print
[OK]and move to the next phase. - If a phase fails → print
[STOP], consult the failure decision tree, and ask the user before retrying.
Phase 1 — Verify prerequisites
Required:
- Jetson device with JetPack installed (tested on reComputer J1010 + JetPack 4.6.1)
- SDK Components and DeepStream SDK installed
- Keyboard, HDMI display
- USB webcam or MIPI CSI camera
cat /etc/nv_tegra_release
dpkg -l | grep deepstream
Expected: L4T version shown; DeepStream SDK package listed.
Phase 2 — Download configuration files
git clone https://github.com/NVIDIA-AI-IOT/deepstream_reference_apps.git
cd deepstream_reference_apps/deepstream_app_tao_configs/
sudo cp -a * /opt/nvidia/deepstream/deepstream/samples/configs/tao_pretrained_models/
Expected: Config files copied to DeepStream samples directory.
Phase 3 — Download pre-trained models
sudo apt install -y wget zip
cd /opt/nvidia/deepstream/deepstream/samples/configs/tao_pretrained_models/
sudo ./download_models.sh
Expected: DashCamNet, VehicleMakeNet, and VehicleTypeNet models downloaded.
Phase 4 — Configure DeepStream application
Edit the configuration file:
cd /opt/nvidia/deepstream/deepstream/samples/configs/tao_pretrained_models/
sudo vi deepstream_app_source1_dashcamnet_vehiclemakenet_vehicletypenet.txt
Make these changes:
- Under
[sink0], changesync=1tosync=0 - Under
[primary-gie], setmodel-engine-file=../../models/tao_pretrained_models/dashcamnet/resnet18_dashcamnet_pruned.etlt_b1_gpu0_fp16.engine - Under
[secondary-gie0], setmodel-engine-file=../../models/tao_pretrained_models/vehiclemakenet/resnet18_vehiclemakenet_pruned.etlt_b4_gpu0_fp16.engine - Under
[secondary-gie1], setmodel-engine-file=../../models/tao_pretrained_models/vehicletypenet/resnet18_vehicletypenet_pruned.etlt_b4_gpu0_fp16.engine
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.
- 5d ago First seen · 96 lines · 56 tokens per session scan B 8b10c805dcdb
traffic-deepstream is a skill published in the GitHub repository Seeed-Projects/Seeed-Jetson-DevelopTool (54 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 932 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). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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llama-cpp
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amc-run-rtsp-calibration
Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.
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.