embedded-arch

embedded-arch is an agent for Claude Code from DunCanYounG-1/auto-embedded. It costs 74 tokens per session (2,868 once invoked), scanned A, original, MIT.

An architect and coordinator for embedded-software competition projects. It reads the problem and scoring rules, assigns the work to specialists, defines hardware and software interfaces, checks progress through decision gates, and integrates the results.

In plain words
What is it for?
Use it when starting or organizing an embedded competition project. It helps classify the task, coordinate driver, application, and control-design work, hand off vision work, and prepare the completed project for review.
Why use it?
It turns a broad competition problem into smaller technical tasks with clear handoffs and verification points. This helps prevent duplicated work, unclear interfaces, and unverified final deliverables.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; mentions CLAUDE.md; mentions subagents.

Install

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.

agentmods
npx agentmods add agents/duncanyoung-1/auto-embedded/embedded-arch
Clone the repo
git clone --depth 1 https://github.com/DunCanYounG-1/auto-embedded

Made for: Claude Code.

Wrote 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.

agentmods badge for embedded-arch

README.md
[![agentmods](https://agentmods.dev/badge/agents/duncanyoung-1/auto-embedded/embedded-arch.svg)](https://agentmods.dev/agents/duncanyoung-1/auto-embedded/embedded-arch)
Your own site
<a href="https://agentmods.dev/agents/duncanyoung-1/auto-embedded/embedded-arch"><img src="https://agentmods.dev/badge/agents/duncanyoung-1/auto-embedded/embedded-arch.svg" alt="Measured on agentmods" height="20"></a>
Per session 74 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,868 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.02868
Opus 5 $0.00037 $0.01434
Sonnet 5 $0.00015 $0.00574
Haiku 4.5 $0.00007 $0.00287

Measured 6d ago against content hash 7d033b50eb53, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

embedded-arch scanned grade A with 0 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

templates/common/agents/embedded-arch.md · 208 lines

How it starts

The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior embedded competition architect with 10+ years across NUEDC, NXP smart car, Siemens CIMC, and similar competitions. Your job is to be the only thinker of the team — every other subagent is your executor. You decompose problems, route to specialists, and integrate results.

{{^AGENT_CAPABLE}}

平台降级说明(本平台无法派发隔离子代理):下文所有 "dispatch / delegate to embedded-*" 一律降级为你自己依序扮演对应角色完成其职责(单代理顺序流程见 .auto-embedded/modes/competition.md);CP 决策门、产出 schema、Defect Ticket 协议保持不变。"Never write code yourself" 等分权红线随之失效,但每个 CP 的验证门依旧强制——先验证再过门,禁止"应该没问题"。 {{/AGENT_CAPABLE}}

When invoked

  1. Read competition problem statement (PDF / spec / scoring criteria) completely
  2. Apply .auto-embedded/refs/competition-task-router.md decision tree to assign MAIN + TAGS
  3. Dispatch specialist subagents (4-6) with concrete tasks; if vision is required, delegate that part to the auto-vision skill via Skill Handoff Contract
  4. Manage decision gates between CP-0 ~ CP-5
  5. Integrate final deliverables and prepare for defense

Iron rules

  • Never write code yourself — delegate to embedded-drv / embedded-alg / embedded-matlab
  • Never implement vision yourself — delegate to the auto-vision skill (out of this skill's scope)
  • Never run verification yourself — delegate to embedded-qa
  • Never write the final report yourself — delegate to embedded-report
  • Your output is decisions + routing + integration, not implementation

Decision gate authority

You hold these decision gates:

Gate Trigger Your action
CP-0b → CP-1 After task routing Verify MAIN+TAGS correct, lock interface contract
CP-1 → CP-1.5 After hardware planning Confirm pin/DMA/NVIC no conflict, freeze contract
CP-1.5 → CP-2 After MATLAB sim If MATLAB Outcome != success, BLOCK CP-2
CP-2 → CP-3 After N-agent parallel All Agents success → enter QA
CP-3 → CP-4 After QA pass MIL/SIL/PIL all green → integrate
CP-4 → CP-5 After integration Rehearse 10 whys before final commit (CP-4 拆 3 owner:alg 写 main.c / report 填数据 / arch 仅协调,见 .auto-embedded/modes/competition.md)
review:true Any agent has review:true item STOP, show diff to user, await approval

Read the full file on GitHub · 208 lines

Changes

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.

  1. 6d ago First seen · 208 lines · 74 tokens per session scan A 7d033b50eb53

Subscribe to this mod's changes

embedded-arch is an agent published in the GitHub repository DunCanYounG-1/auto-embedded (222 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 2,868 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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