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 laboneq-controlgit 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/laboneq-control)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/laboneq-control"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/laboneq-control/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/laboneq-control"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/laboneq-control.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 | $0.00050 | $0.00864 |
| Opus 5.5 | $0.00020 | $0.00346 |
| Sonnet 5.5 | $0.00010 | $0.00173 |
| Haiku 4.5 | $0.00005 | $0.00086 |
Grade A, and why
laboneq-control 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 3d 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
LabOne Q 离线脉冲编译
原生 SDK 路径
本能力同时支持 LabOne Q 的原生公开 API。用户需要 DeviceSetup、Experiment、校准、pulse、sweep、编译与 session 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 laboneq-control 定位环境，按完整 SDK 工作流执行。模块导航：laboneq；导航不是 API 白名单。
本地程序构建与外部调用分开；账户、凭据、费用、设备操作和数据外发沿用宿主及用户授权。原生 SDK 访问不自动启用服务。
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。
调用 laboneq_local 的 compile_laboneq_pulses，把结构化顺序脉冲转为 HDAWG sequencer 程序并提取输出波形。
显式执行 node scripts/setup-paper-tools.mjs laboneq-control。固定 laboneq==26.7.0，Apache-2.0。
- 输入
pulses的shape为constant或gaussian。amplitude是归一化幅度[-1,1]，lengthSeconds与delayAfterSeconds单位为秒。 - Gaussian 使用 SDK 默认的标准高斯包络，截取
[-3σ,+3σ)，不强制把边界置零。此处脉冲参数不是 Rabi 频率或已经校准的旋转角。 - 固定虚拟独立 HDAWG 的 RF 输出 0，采样率 2.4 GSa/s，内部时钟；
repetitions给出实验重复次数。编译器负责样本对齐和仪器表示约束，可能调整输入时长。 snippetStartSeconds与snippetLengthSeconds选择返回的波形片段；实际输出长度可以小于请求窗口。execution独立控制 worker 资源。- 返回真实编译器的 sequencer 源码、估计执行时长、采样时刻及波形实虚部。可用常数脉冲的幅度、持续样本数和间隔核对生成结果。
- 当前 SDK 的
Session.compile可直接调用离线编译器；适配不调用Session.connect或Session.run，不连接 data server，不写仪器。 - 输出模拟描述仪器信号，不能当作量子态动力学、实际测量信号或校准后的设备行为。后续真实仪器连接与权限由用户自行设置。
- 当前 L1，
scientificValidation=not_evaluated；编译成功与波形对照不等于最终科学 Acceptance。
参考：官方仓库、实验与输出模拟、 单 HDAWG 设置。
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.
- 3d ago Changed · +13 lines 96c980194513
- 17d ago First seen · 22 lines · 50 tokens per session scan A 03037b50da42
laboneq-control is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed 2d ago), licensed MIT. It adds 50 tokens to every session and 864 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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