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 qutrunk-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/qutrunk-simulation)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/qutrunk-simulation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/qutrunk-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/qutrunk-simulation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/qutrunk-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 | $0.00037 | $0.00717 |
| Opus 5.5 | $0.00015 | $0.00287 |
| Sonnet 5.5 | $0.00007 | $0.00143 |
| Haiku 4.5 | $0.00004 | $0.00072 |
Grade A, and why
qutrunk-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
QuTrunk 本地电路仿真
原生 SDK 路径
本能力同时支持 QuTrunk 的原生公开 API。用户需要 QCircuit、参数、门与上游后端 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 qutrunk-simulation 定位环境，按完整 SDK 工作流执行。模块导航：qutrunk；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 qutrunk_local 提供的 simulate_qutrunk_circuit。本 Skill 负责模型选择和结果解释，Tool 在独立 Python 环境执行真实上游 SDK。
输入 numQubits 和 gates。每项包括 gate、targets；支持 H/S/T/X/Y/Z/CX/CZ 和 RX/RY/RZ。旋转门必须提供 angle（rad），其他门不得提供。CX 的首个 target 是控制位。只接收结构化门，不执行用户代码或文件路径。
从全零态开始进行理想酉演化。outcomes 的位串左端是量子位 0，amplitude=[real,imag]。概率由 SDK 末态振幅计算，无裁剪或归一化。先检查 normError；概率不是有限 shots 测量频数。完整态向量的计算和存储随 2^N 增长。
显式选择 BackendLocal(run_mode="local")，不根据环境选择远程后端，不访问 QuSAAS、MPI 或 GPU。返回 program 是由 SDK Command 序列导出的 OpenQASM 2。固定 Python 3.10，因为 QuTrunk 0.2.2 声明 Python <3.11。SDK 内部量子位零在最低有效位，适配层已转换为输出左端位。
计算规模由调用方选择，后端数值表示限制仍适用。资源限制用 execution 设置，与模型参数分开。先运行 node scripts/setup-paper-tools.mjs qutrunk-simulation 显式准备固定依赖；计算调用不安装依赖或联网，数值库可能写本地缓存。
固定上游版本：0.2.2；来源与许可见上游仓库（Apache-2.0）。本地数值和协议检查属于开发证据；当前 L1，scientificValidation=not_evaluated，成功执行不等于最终科学 Acceptance。
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 51bc343e032c
- 19d ago First seen · 19 lines · 37 tokens per session scan A 1161748c9f70
qutrunk-simulation is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 717 once invoked, about $0.0001 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 2026-09-28.
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