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 skills add xi-zhao/OpenQuantum --skill mimiq-simulationgit clone --depth 1 https://github.com/xi-zhao/OpenQuantumWrote 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/skills/xi-zhao/openquantum/mimiq-simulation)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/mimiq-simulation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/mimiq-simulation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xi-zhao/openquantum/mimiq-simulation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/mimiq-simulation.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00052 | $0.00771 |
| Opus 5.5 | $0.00021 | $0.00308 |
| Sonnet 5.5 | $0.00010 | $0.00154 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
mimiq-simulation 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
MIMIQ Exaqt 本地电路
原生 SDK 路径
本能力同时支持 MIMIQ 的原生公开 API。用户需要 任意电路、指令、噪声、模拟器与远程接口 时，由 Agent 在固定依赖环境中编写和运行任务代码，不限于下文便捷 Tool 的预设模型。
使用 node scripts/sdk-access.mjs inspect mimiq-simulation 定位环境，按完整 SDK 工作流执行。模块导航：mimiqcircuits、exaqt；导航不是 API 白名单。
原生 Exaqt 目标有限；MIMIQ 远程服务、许可证和二进制平台分别核实。
下文关于模型、门集、输入与预算的限制描述便捷 Tool 的合同；原生 SDK 另受上游版本、可选依赖、宿主资源与用户授权约束。已禁用或被拒绝的动作不能借代码路径绕过。执行状态和科研验收分别报告。
Agent 经 Harness 调用 mimiq_local 的 simulate_mimiq_circuit。使用本地 ExaqtSV 引擎，适合检查理想门电路和采样分布；不代表 MIMIQ 远程服务或 TensorWeaver 已接入。
输入 numQubits 和门序列，初态为全零。支持 H/S/T/X/Y/Z/CX/CZ/RX/RY/RZ，旋转角以弧度表示。shots=0 只返回态矢量；大于 0 时按 seed 用 Exaqt RNG 采样。概率及复振幅按计算基字典序排列，最左侧 bit 是 qubit 0；适配层显式从 Exaqt 的小端索引转换。输出包括所有振幅、概率、范数与采样 counts，因此内存和输出随量子位指数增长；execution 可设置资源预算。
选择 probabilities 作理想结果，选择 counts 作有限采样结果，不把无 shots 噪声等同于没有浮点误差。没有噪声模型、测量反馈或真实硬件证据。固定 mimiq-exaqt 0.3.0；供应方公开 wheel 未附明确许可证信息，作为按需安装的外部依赖，不随 OpenQuantum 分发 SDK 二进制或声称它是开源组件。
先按供应方条款运行 node scripts/setup-paper-tools.mjs mimiq-simulation 并启用连接。公开 wheel 支持 Apple Silicon macOS、Linux x86_64（glibc 2.34+）和 Windows x86_64；没有兼容 wheel 时清楚失败。调用不安装、不创建云连接、不接收凭据；SDK 缓存副作用保守登记为 workspace-write。
当前 L1，scientificValidation=not_evaluated。固定 SDK 数值与协议测试是工程证据，不是 central Acceptance Builder 推导的验收。
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · +13 lines 0b532cf142e7
- 18d ago First seen · 17 lines · 52 tokens per session scan A e469cefeb669
mimiq-simulation is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 771 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-29.
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