start

start is a command for coding agents from DunCanYounG-1/auto-embedded. It costs 0 tokens per session (318 once invoked), scanned A, original, MIT.

A command for creating a task and starting its RESEARCH stage in a defined five-step workflow.

In plain words
What is it for?
Use it to begin hardware or software tasks that need research, such as identifying chips and libraries, checking specifications, planning pins, and assigning relevant project guidance.
Why use it?
It sets up the task, records research, and prevents work from continuing when important hardware documents are missing.

Command

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 commands/duncanyoung-1/auto-embedded/start
Clone the repo
git clone --depth 1 https://github.com/DunCanYounG-1/auto-embedded

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 start

README.md
[![agentmods](https://agentmods.dev/badge/commands/duncanyoung-1/auto-embedded/start.svg)](https://agentmods.dev/commands/duncanyoung-1/auto-embedded/start)
Your own site
<a href="https://agentmods.dev/commands/duncanyoung-1/auto-embedded/start"><img src="https://agentmods.dev/badge/commands/duncanyoung-1/auto-embedded/start.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 318 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 $0.00000 $0.00318
Opus 5 $0.00000 $0.00159
Sonnet 5 $0.00000 $0.00064
Haiku 4.5 $0.00000 $0.00032

Measured 5d ago against content hash dde33a01e72d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

start 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 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.

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/commands/start.md · 20 lines

What it actually says

{{CMD_REF:start}} —— 开始新任务

新建一个 auto-embedded 任务并进入 RIPER-5 的 RESEARCH 阶段。

步骤

  1. 创建任务(标题取自参数)。用单引号包裹标题以避免 $、反引号、\ 被 shell 解释; 标题为空则先向用户确认要做什么,不要用空标题建任务:
    {{PYTHON_CMD}} .auto-embedded/scripts/task.py start '在此粘贴标题(保持单引号)'
    
    task.py 会对任务 id 做净化,但仍请避免在标题里放命令替换字符。)
  2. [MODE: RESEARCH] 开始:识别芯片/库 → 读相关 spec(architecture/conventions/hardware)→ 引脚规划写入 .auto-embedded/spec/hardware/hw-lock.yaml → 证据写入该任务的 research.md
  3. 给各角色挂相关 spec(决定{{#AGENT_CAPABLE}}派 Scout/Builder/Verifier 时{{/AGENT_CAPABLE}}自动注入哪些):
    {{PYTHON_CMD}} .auto-embedded/scripts/task.py select builder spec/architecture/index.md "分层约束"
    

关键资料(pinout/datasheet/netlist)缺失就暂停问用户,不要硬编

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. 5d ago First seen · 20 lines · 0 tokens per session scan A dde33a01e72d

Subscribe to this mod's changes

start is a command published in the GitHub repository DunCanYounG-1/auto-embedded (218 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 318 tokens. 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.