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 cudaq-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/cudaq-simulation)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/cudaq-simulation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/cudaq-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/cudaq-simulation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/cudaq-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 | $0.00652 |
| Opus 5.5 | $0.00021 | $0.00261 |
| Sonnet 5.5 | $0.00010 | $0.00130 |
| Haiku 4.5 | $0.00005 | $0.00065 |
Grade A, and why
cudaq-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
CUDA-Q 电路仿真
原生 SDK 路径
本能力同时支持 CUDA-Q 的原生公开 API。用户需要 任意 kernel、控制流、observe/sample、噪声、target 与并行 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 cudaq-simulation 定位环境，按完整 SDK 工作流执行。模块导航：cudaq；导航不是 API 白名单。
已固定版本要求 Linux 或 Apple Silicon macOS；GPU target 取决于驱动、硬件和上游支持。
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。
显式准备 node scripts/setup-paper-tools.mjs cudaq-simulation，再调用 simulate_cudaq_circuit。
输入 numQubits、结构化 gates、shots 与 seed；支持 H/S/T/X/Y/Z/CX/CZ/RX/RY/RZ，角度为弧度。
shots=0 只返回精确概率。每个结果位串从左到右对应 q0、q1……，不要套用 Qiskit 的显示顺序。
固定官方二进制分发 cuda-quantum-cu13==0.16.0，显式选择 qpp-cpu。此固定版本有 Linux 与 Apple Silicon
macOS wheel；较新的 0.16.0.post1 当前缺少 macOS wheel。名称中的 cu13 不表示本工具会用 GPU。
在组件设置中按需启用 cudaq_local；原生 Windows 与 Intel Mac 需在受支持的独立部署环境使用。
SDK 动态编译可能写缓存，环境准备不会在 Tool 调用内发生。本工具不接受任意 Python/MLIR 源码， 不选择云端 target，不执行付费服务或 QPU。精确概率与有限 shots 计数应分开解释；L1 结果不构成科学验收。
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 · +13 lines f74d881021dd
- 18d ago First seen · 20 lines · 52 tokens per session scan A a9234c9f6347
cudaq-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 652 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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