continue

continue is a command for coding agents from DunCanYounG-1/auto-embedded. It costs 0 tokens per session (326 once invoked), scanned A, original, MIT.

A command for resuming an unfinished auto-embedded development task. It reloads the project context and identifies the current stage, recent changes, hardware-resource state, research findings, and next action.

In plain words
What is it for?
Use it to continue embedded-software work after an interruption. It helps resume research, design evaluation, planning, implementation, or review with the relevant project records loaded.
Why use it?
It prevents a new session from losing track of the work already done or continuing from the wrong development stage. This is especially useful when the project uses staged planning, implementation, and review.

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/continue
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 continue

README.md
[![agentmods](https://agentmods.dev/badge/commands/duncanyoung-1/auto-embedded/continue.svg)](https://agentmods.dev/commands/duncanyoung-1/auto-embedded/continue)
Your own site
<a href="https://agentmods.dev/commands/duncanyoung-1/auto-embedded/continue"><img src="https://agentmods.dev/badge/commands/duncanyoung-1/auto-embedded/continue.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 326 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 $0.00326
Opus 5 $0.00000 $0.00163
Sonnet 5 $0.00000 $0.00065
Haiku 4.5 $0.00000 $0.00033

Measured 4d ago against content hash a8d020bec472, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

continue 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 4d 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/continue.md · 22 lines

What it actually says

{{CMD_REF:continue}} —— 继续当前任务

恢复现场,按 RIPER 阶段在正确的步骤接着干。

1. 载入现场

{{PYTHON_CMD}} .auto-embedded/scripts/get_context.py

确认:active task、当前阶段、spec 索引、硬件锁。

2. 五问重启

读 active task 的 prd.md / research.md / edits.md.auto-embedded/workflow.md 当前阶段块,回答:

  1. 当前在哪个 RIPER 阶段 2. 最近改了什么 3. 硬件资源现状
  2. 之前 RESEARCH 发现了什么 5. {{#AGENT_CAPABLE}}现在该以哪个角色(Scout/Builder/Verifier)继续{{/AGENT_CAPABLE}}{{^AGENT_CAPABLE}}下一步的最小动作是什么{{/AGENT_CAPABLE}}

3. 按阶段路由继续

  • RESEARCH → 补证据 / 引脚规划
  • INNOVATE → 评候选方案
  • PLAN → 出/补实施清单(含 review:true 项须用户确认)
  • EXECUTE → 按轮次实现,一轮一个改动点 + 验证证据;切阶段用 {{PYTHON_CMD}} .auto-embedded/scripts/task.py phase EXECUTE
  • REVIEW → 跑验证门 + 分层门禁,然后 {{CMD_REF:finish-work}}
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. 4d ago First seen · 22 lines · 0 tokens per session scan A a8d020bec472

Subscribe to this mod's changes

continue 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 326 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.