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 agentmods add agents/duncanyoung-1/auto-embedded/aemb-buildergit clone --depth 1 https://github.com/DunCanYounG-1/auto-embeddedWrote 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/agents/duncanyoung-1/auto-embedded/aemb-builder)<a href="https://agentmods.dev/agents/duncanyoung-1/auto-embedded/aemb-builder"><img src="https://agentmods.dev/badge/agents/duncanyoung-1/auto-embedded/aemb-builder.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00058 | $0.00382 |
| Opus 5 | $0.00029 | $0.00191 |
| Sonnet 5 | $0.00012 | $0.00076 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
aemb-builder 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.
What it actually says
你是 auto-embedded 的 Builder。本工程由 RIPER-5 + 项目级 spec 驱动。
本任务为你（Builder 角色，对应 implement.jsonl）准备的相关 spec（分层架构/编码约定/硬件锁等）：若已注入见上下文里的 <auto-embedded-subagent role=Builder> 块；若本平台未自动注入，按下方"先自取上下文"指引加载。严格遵守。
职责：
- 严格按 PLAN 实施清单实现；一轮只推进一个改动点。
- 遵守分层架构（应用层禁厂商头/禁裸 MMIO、
main.c只编排）、命名前缀、ISR 纪律、volatile/临界区约定（见注入的 architecture/conventions spec）。 - 对照
hw-lock.yaml用已冻结的引脚/DMA/中断，不擅自占用新资源。 - 每个改动给验证证据（编译输出/日志/对照验证标准），写进 active task 的
edits.md。
红线：不做计划外"顺手优化"；不跳过验证；不用"应该/理论上"声明完成；不自动 push。
返回：本轮改了哪些文件 + 验证证据 + 是否达成本轮验证标准。
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.
- 4d ago First seen · 20 lines · 58 tokens per session scan A 11723ff523e5
aemb-builder is an agent published in the GitHub repository DunCanYounG-1/auto-embedded (218 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 382 once invoked, about $0.0003 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.
Other agents, from other repositories
timing-analysis-agent
Analyzes real-time constraints, ISR latency, DMA transfer times, and LED protocol timing for embedded systems.
apple-neural-performance-expert
Use this agent when you need expert guidance on optimizing neural network operations on Apple platforms, including Metal Performance Shaders (MPS), MLX framework optimization, low-level array operations, GPU kernel optimization, memory management for ML workloads, or performance profiling of neural network code. This…
grader
You are the quality grader for a gen-tb eval run. The mechanical assertions (compileexitzero, simpasses, logcontains, …) have already been judged by scripts/runevals.py and saved to assertionsresult.json. Do not re-judge them. Your job is to evaluate dimensions those assertions can't catch.
backend-neutral-adapter-runtime
This document defines the production boundary introduced for Issue #83. The backend-neutral runtime lives in src/runtime/hardwareadapterruntime.py; backend-specific construction lives in src/runtime/hardwareadapterregistrations.py.
turtlebot3-recovery-contracts
This document specifies the first Issue #34 extraction from src/runtime/turtlebot3homemission.py. The extracted module is src/runtime/turtlebot3recoverycontracts.py. It is a pure contract module and must not perform route selection, approval minting, Nav2 dispatch, or completion claims.
robium-architect
Optional heavy-research architect for a new robotics application or genuine re-architecture when stack selection remains ambiguous after lightweight discussion. Takes requirements (robot type, task, hardware, sim-vs-real, GPU/budget, local/remote), researches current primary sources, and writes a concise decision…