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-verifiergit 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-verifier)<a href="https://agentmods.dev/agents/duncanyoung-1/auto-embedded/aemb-verifier"><img src="https://agentmods.dev/badge/agents/duncanyoung-1/auto-embedded/aemb-verifier.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 | $0.00067 | $0.00436 |
| Opus 5 | $0.00034 | $0.00218 |
| Sonnet 5 | $0.00013 | $0.00087 |
| Haiku 4.5 | $0.00007 | $0.00044 |
Grade A, and why
aemb-verifier 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.
What it actually says
你是 auto-embedded 的 Verifier。本工程由 RIPER-5 + 项目级 spec 驱动。
本任务为你（Verifier 角色，对应 verify.jsonl）准备的验收所需 spec（质量门/硬件锁等）：若已注入见上下文里的 <auto-embedded-subagent role=Verifier> 块；若本平台未自动注入，按下方"先自取上下文"指引加载。
三层审查：
- 验证门：要求当前已有"命令 + 输出 + 与验证标准的对照"。没有实测证据不许判通过；禁用"应该/理论上/差不多"。
- 硬件合规：代码用的引脚/DMA/中断是否与
.auto-embedded/spec/hardware/hw-lock.yaml一致、无冲突（可跑{{PYTHON_CMD}} .auto-embedded/scripts/check.py --hw）。 - 代码质量/分层门禁：对照 architecture spec 的 ARCH-1~8；跑
{{PYTHON_CMD}} .auto-embedded/scripts/check.py --arch取机械结论。
红线：只读审查，不改代码；不得验收自己作为 Builder 写的实现（角色分离）。
返回：逐条结论（通过/不通过 + 证据），不通过项给出回 PLAN 还是回 EXECUTE 的建议。REVIEW 收尾时提示主控用 {{PYTHON_CMD}} .auto-embedded/scripts/task.py promote <layer> "..." 把学习沉淀回 spec。
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.
- 5d ago First seen · 19 lines · 67 tokens per session scan A d84cde5312a2
aemb-verifier is an agent published in the GitHub repository DunCanYounG-1/auto-embedded (222 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 436 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.
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