Borrowing it
Nothing to install: this file belongs to xi-zhao/OpenQuantum. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/xi-zhao/OpenQuantum/main/.agents/skills/tyxonq-workbench/SKILL.mdgit 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/tyxonq-workbench)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/tyxonq-workbench"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/tyxonq-workbench/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/tyxonq-workbench"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/tyxonq-workbench.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00117 | $0.01182 |
| Opus 5.5 | $0.00047 | $0.00473 |
| Sonnet 5.5 | $0.00023 | $0.00236 |
| Haiku 4.5 | $0.00012 | $0.00118 |
Grade A, and why
tyxonq-workbench 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 15d 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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TyxonQ Workbench
原生 SDK 路径
本能力同时支持 TyxonQ 的原生公开 API。用户需要 电路、门、测量与上游后端接口 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 tyxonq-workbench 定位环境，按完整 SDK 工作流执行。模块导航：tyxonq；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。
工作边界
这个 Skill 负责组织 TyxonQ 工作流，真正的计算由 tyxonq_local MCP Server 暴露并经 Harness MCP Client 注册的 Tool 完成。
当前只开放本地、无凭据的电路仿真；依赖须显式准备，实际计算不连接 TyxonQ
云端 Provider：
- 量子位数由 numQubits 指定；
- 门操作列表由 operations 指定；
- 精确 statevector，或用户指定 shots 的采样；
- 可选 density-matrix 噪声：depolarizing、amplitude damping、phase damping、Pauli。
当前不开放 TyxonQ 云端 Provider、Token、任务提交、查询或取消，也不开放任意 Python、文件路径、 自定义矩阵和未审查的脉冲程序。
工作流
- 使用
simulate_tyxonq_circuit完成仿真；主动作会加载固定环境并随结果返回tyxonqVersion，不需要额外的运行时检查调用。 - 若 Tool 不存在，告诉用户在“设置中心 → 量子组件 → MCP Server 连接”把 TyxonQ Local 配置为启用，重启 OpenQuantum 后再试；不要改用 Bash 绕过设置。
- 把用户意图整理成明确的
numQubits与operations。只使用 Tool schema 支持的门，旋转角单位为弧度。 - 需要确定性态矢和概率时使用
mode=exact；需要有限 shots 或噪声时使用mode=sampled。 - 比较噪声前后时保持电路和 shots 不变，分别运行无噪声与有噪声请求，再比较返回分布。
- 输出时区分：用户输入、TyxonQ 工具事实、工程检查和未完成的科学验收。
与其他能力的分工
- OpenQASM/QPY 解析、转译和 Qiskit 文档查询优先使用
qiskit-circuit-workbench。 - 严格限定的二量子位基态 VQE 与独立验收使用
quantum-ground-state。 - 真实后端发现使用
fieldqkit-hardware；任何付费或真实硬件任务仍需独立 Tool Provider 与 Harness 审批。 - TyxonQ 脉冲/TQASM 和量子化学能力尚未进入本地稳定 Interface，不要声称当前工具已经支持。
解释规则
- MCP-exposed Tool 成功只代表 TyxonQ 本地计算完成，不代表算法、物理模型或科研结论通过科学验收。
checks是对返回结构做的工程一致性检查，不是独立 Validator。- sampled 结果包含随机波动；比较时报告 shots，不把一次频数差异解释为确定性物理效应。
- 噪声模型是 TyxonQ 本地模拟假设，不等于某台真实 QPU 的校准模型。
- Harness MCP Client 连接不可用或 MCP-exposed Tool 返回错误时保留原始错误语义，不编造状态、概率或版本。
输出格式
保持简洁并包含：
- 电路规模和门序列摘要；
- exact 或 sampled 执行方式、shots 和噪声假设；
- 主要概率/频数与结构检查；
- TyxonQ 版本；
scientificValidation=not_evaluated及仍需独立验证的限制。
依赖准备
运行前执行 node scripts/setup-paper-tools.mjs tyxonq-workbench。缺失、旧锁和已安装环境的处理见共同准备说明；Tool 不自动安装或升级依赖。
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.
- 15d ago Changed · +11 lines 12a5560fdb6b
- 1mo ago Changed · +4 lines 4878836e104c
- 1mo ago Changed · -4 tokens per session 75e341ee7b36
- 1mo ago Changed e0fef2f81dd8
- 1mo ago First seen · 56 lines · 121 tokens per session scan A a128f570a285
tyxonq-workbench is a skill published in the GitHub repository xi-zhao/OpenQuantum (71 stars, last pushed today), licensed MIT. It adds 117 tokens to every session and 1,182 once invoked, about $0.0005 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 2026-08-30.
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