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 deciai-setupgit 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/deciai-setup)<a href="https://agentmods.dev/skills/seeed-projects/seeed-jetson-developtool/deciai-setup"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/deciai-setup/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/deciai-setup"><img src="https://agentmods.dev/badge/skills/seeed-projects/seeed-jetson-developtool/deciai-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
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 →
- high YARA Match · line 70 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
- medium Privilege Escalation · line 36 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 37 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 70 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 | $0.00085 | $0.01091 |
| Opus 5.5 | $0.00034 | $0.00436 |
| Sonnet 5.5 | $0.00017 | $0.00218 |
| Haiku 4.5 | $0.00009 | $0.00109 |
Grade B, and why
deciai-setup 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 1mo 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Getting Started with Deci AI on Jetson
Deci accelerates deep-learning inference 2–10× on any hardware via its AutoNAC compiler and INFERY runtime. This skill walks through account setup, model zoo exploration, custom model optimization, and on-device benchmarking on Jetson.
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 | Nano, Xavier NX, TX2, AGX Xavier, or AGX Orin (Seeed reComputer or NVIDIA devkit) |
| JetPack | 4.6 |
| Python | 3.6+ with pip3 |
| Network | Internet access for Deci platform and NGC |
| Deci account | Free sign-up at https://console.deci.ai/sign-up |
Phase 1 — System update and pip setup (~2 min)
sudo apt update
sudo apt install -y python3-pip
python3 -m pip install -U pip
[OK] when pip3 reports its version. [STOP] if apt or pip fails.
Phase 2 — Create Deci account (manual, ~3 min)
- Visit https://console.deci.ai/sign-up
- Complete the registration form
- Log in to Deci Lab — you should see the dashboard with the default ResNet50 Baseline model
[OK] when the user confirms they can see the Deci Lab dashboard.
Phase 3 — Explore Model Zoo and optimize a model (manual, ~5–10 min)
In Deci Lab:
- Click Model Zoo → List to browse pre-optimized models
- Search for a model (e.g.
YOLOX) to see base and hardware-optimized variants - To optimize a custom model: click + New Model → select task → upload ONNX model → choose target hardware → set throughput goal → click Start
- Wait for optimization to complete
[OK] when the optimized model appears in the dashboard.
Phase 4 — Install INFERY on Jetson (~3 min)
sudo python3 -m pip install https://deci-packages-public.s3.amazonaws.com/infery_jetson-3.2.2-cp36-cp36m-linux_aarch64.whl
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.
- 1mo ago First seen · 123 lines · 85 tokens per session scan B a4b3558a9878
deciai-setup is a skill published in the GitHub repository Seeed-Projects/Seeed-Jetson-DevelopTool (56 stars, last pushed yesterday), licensed MIT. It adds 85 tokens to every session and 1,091 once invoked, about $0.0003 per session on Opus 5.5. 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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