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 mqt-ddsimgit 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/mqt-ddsim)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/mqt-ddsim"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/mqt-ddsim/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/mqt-ddsim"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/mqt-ddsim.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 | $0.00042 | $0.00772 |
| Opus 5.5 | $0.00017 | $0.00309 |
| Sonnet 5.5 | $0.00008 | $0.00154 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
mqt-ddsim 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
MQT DDSIM 决策图仿真
原生 SDK 路径
本能力同时支持 MQT DDSIM 的原生公开 API。用户需要 自定义电路、模拟后端、模拟选项与结果 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 mqt-ddsim 定位环境，按完整 SDK 工作流执行。模块导航：mqt.ddsim；导航不是 API 白名单。
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 mqt_ddsim_local 提供的 simulate_mqt_ddsim。适用于能利用决策图结构的无噪声电路仿真，和其他模拟器的数值对照。
输入 numQubits、gates、shots、seed。支持 H/S/T/X/Y/Z、CX/CZ 和 RX/RY/RZ；旋转角度用 rad，CX 首个 target 是控制位。Tool 从全零态出发，在末尾测量所有量子位。counts 的位串按 q[n-1]...q[0] 排列；例如只对 q0 施加 X，三位结果是 001。
默认 includeStatevector=false，只返回采样计数，避免强制物化指数维数的稠密向量。显式设为 true 时返回采样前的相干态矢量，数组下标就是位串对应的二进制整数。seed 传给 DDSIM 的 seed_simulator，采样不确定性仍需按 shots 解释。
DDSIM 的近似保真度固定为 1，因此这里不使用决策图截断近似；浮点误差依然存在。决策图对一般无结构电路仍可能指数增长。规模由调用方决定，既不保证所有电路高效，也不包含中途测量、噪声、QPU 或远程执行。
固定 MQT DDSIM 2.6.0（MIT），独立环境内固定 MQT Core 与 Qiskit；不改变现有 MQT QCEC 的环境或作用域。
先运行 node scripts/setup-paper-tools.mjs mqt-ddsim 显式准备固定依赖。计算 Tool 不安装依赖、不连接外部服务；SDK 可能写本地缓存，因此最大副作用登记为 workspace-write。部署时间、输出大小与线程设置使用 execution，与方法规模分开。
当前为 L1，scientificValidation=not_evaluated。本地数值、协议与 Harness 测试是开发证据；执行成功不等于 central Acceptance Builder 已推导科学验收。
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 · +11 lines 44fb7f4634d6
- 18d ago First seen · 21 lines · 42 tokens per session scan A c147f8834fdc
mqt-ddsim is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 772 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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