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 myqlm-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/myqlm-simulation)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/myqlm-simulation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/myqlm-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/myqlm-simulation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/myqlm-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 | $0.00040 | $0.00682 |
| Opus 5.5 | $0.00016 | $0.00273 |
| Sonnet 5.5 | $0.00008 | $0.00136 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
myqlm-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
myQLM 本地门电路
原生 SDK 路径
本能力同时支持 myQLM 的原生公开 API。用户需要 AQASM、自定义程序、job、QPU、插件与计算栈 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 myqlm-simulation 定位环境，按完整 SDK 工作流执行。模块导航：qat.lang、qat.qpus；导航不是 API 白名单。
myQLM 按上游 EULA 使用；不能视为 OQC 的同名 qat 包，两者环境必须隔离。
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 myqlm_local 的 simulate_myqlm_circuit。用于理想门模型与跨 SDK 数值对照；不把本地模拟器称为 Qaptiva 设备或量子处理器执行。
输入 numQubits、H/S/T/X/Y/Z/CX/CZ/RX/RY/RZ 门序列，初态为全零，旋转角为弧度。输出完整 amplitudes 和 probabilities 按计算基字典序排列，最左侧 bit 为 qubit 0，norm 可检查归一化。使用 nbshots=0 和零振幅筛选阈值取得无抽样噪声结果；仍受浮点误差影响，规模受实际内存与输出预算约束。
适配显式创建 PyLinalg，不调用默认 QPU 工厂，避免用户的远程 QPU 配置影响本地动作。没有硬件、云、模拟哈密顿量或退火任务。需要这些方法时另选已有能力。
固定 myQLM 1.13.7；myQLM 由供应方 EULA 管理，按需安装、默认关闭，不随仓库附带 SDK。先运行 node scripts/setup-paper-tools.mjs myqlm-simulation 再启用连接，调用不安装依赖、不接受令牌和任意代码。SDK 缓存使最大副作用登记为 workspace-write；execution 保留线程、超时、输出预算设置。
当前为 L1，scientificValidation=not_evaluated。开发期独立稠密矩阵和 MCP 检查不等于最终科学验收。
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 667be2a8d3e6
- 18d ago First seen · 17 lines · 40 tokens per session scan A c6cebe14b7db
myqlm-simulation is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 682 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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