fatqat-workbench

fatqat-workbench is a skill for Codex from xi-zhao/OpenQuantum. It costs 73 tokens per session (1,388 once invoked), scanned A, original, MIT.

A quantum-computing experiment guide that uses a local tool to simulate small circuits and physical hardware models. It covers superconducting devices, atom arrays, transmon leakage, and Rydberg-atom dynamics.

In plain words
What is it for?
Use it for small quantum-circuit simulations, native-gate and connectivity checks, atom-pairing experiments, pulse dynamics, and teaching parameter scans.
Why use it?
It helps compare ideal circuit behaviour with hardware-specific constraints, noise, and physical effects without silently changing the experiment model.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it for small quantum-circuit simulations, native-gate and connectivity checks, atom-pairing experiments, pulse dynamics, and teaching parameter scans.

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Install with agentmods
npx agentmods add skills/xi-zhao/openquantum/fatqat-workbench
Install

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.

Any agent
npx skills add xi-zhao/OpenQuantum --skill fatqat-workbench
Clone the repo
git clone --depth 1 https://github.com/xi-zhao/OpenQuantum

Made for: Codex.

Wrote 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.

agentmods badge for fatqat-workbench

README.md
[![agentmods](https://agentmods.dev/badge/skills/xi-zhao/openquantum/fatqat-workbench/github.svg)](https://agentmods.dev/skills/xi-zhao/openquantum/fatqat-workbench)
Your own site
<a href="https://agentmods.dev/skills/xi-zhao/openquantum/fatqat-workbench"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/fatqat-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.

agentmods 80×15 button for fatqat-workbench

Your own site · 80×15
<a href="https://agentmods.dev/skills/xi-zhao/openquantum/fatqat-workbench"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/fatqat-workbench.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,388 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00073 $0.01388
Opus 5.5 $0.00029 $0.00555
Sonnet 5.5 $0.00015 $0.00278
Haiku 4.5 $0.00007 $0.00139

Measured 12d ago against content hash 01a68380bbe3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fatqat-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 12d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (mcp/bridge.py, mcp/contracts.mjs, mcp/server.mjs, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/fatqat-workbench/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FatQat 实验工作台

本 Skill 指导实验选择与解释。Agent 经 Harness 调用 fatqat_local 提供的两个 Tool; Skill 不启动计算进程。固定上游 SHA、依赖锁摘要、完整输入和物理单位会随结果返回。

选择实验层次

  • 理想线路、有限 shots、门后噪声:simulate_fatqat_circuit,backend=general。
  • 检查原生门与 CZ 连接边:同一 Tool,backend=superconducting,显式给出 couplings。
  • 检查原子配对:同一 Tool,backend=atom_array;所有站点初始已加载,CZ 前需要 Pair,之后可 Unpair。
  • 观察驱动中的能级人口和泄漏:simulate_fatqat_dynamics,model=transmon。
  • 观察全局驱动、失谐和原子间作用:同一 Tool,model=rydberg。

使用满足问题所需的物理层次;无需把所有问题依次跑完三层。具体 Tool 参数与代表性实验见 实验输入示例,只读当前任务需要的部分。

参数与解释

  • 电路门角用弧度;量子位数、操作数和原子阵列站点数由输入决定。
  • shots=0 返回测量前的精确概率;正数另返回带 seed 的测量频数。 probabilities 始终来自测量前的态,不能解释为 counts/shots。位串和态数组都以 q0 为最高位。
  • 三种门后噪声都是人工假设:每个幺正门后,对各操作数独立施加通道;加载与配对不加该噪声。 比较时保持电路、seed、shots 相同,报告通道概率及作用位置。
  • 硬件 profile 按输入检查原生门;本接口不自动编译或路由。通用 H/CX 电路应先选 general; 硬件实验按原生门重写,或明确告诉用户当前输入不支持。不要静默更换后端。
  • transmon 用固定的两个三能级合成参考模型;durationNs 为 ns、amplitudeRadPerNs 为 rad/ns。 返回 9 维物理态,两个 site 都保留;每个 site 的 level 2 人口才是该 site 的泄漏。 本接口从全基态出发,以各 site 旋转系中的共振 Rabi 包络恒定驱动 target=0 或 1,无静态 exchange 和附加噪声。 泄漏只覆盖三能级截断中的 level 2,不包含更高能级;采样点中的峰值不保证是连续时间峰值。
  • Rydberg 用 用户指定数量的固定链状二能级原子;时间 us、距离 µm、驱动与失谐 rad/us、C6 为 rad/us·µm⁶。 全局驱动和失谐作用于所有 site,C6 可正可负;几何固定,初态全基态,无附加噪声。 返回模型文档包含实际 C6。不要把门级 Pair 当成真实运输轨迹。 Hamiltonian 约定为 H/ℏ=(Ω/2)ΣX−ΔΣn+Σ(C6/r⁶)nᵢnⱼ,其中 n=|r⟩⟨r|;正失谐对应负的激发态对角项。 相互作用计算预算只限制两个及以上原子;单原子轨迹与 C6 和间距无关。
  • 动力学时间序列包含 0 和终点,点数由 samples 指定,每点从同一初态演化到该时刻。 图表适于展示,定量比较使用完整 sitePopulations[时间][site][能级] 和最终态数据。

完成与失败边界

计算前显式准备锁定依赖;计算仍可能写绘图库缓存,因此保留 workspace-write; 实际仿真不使用外部模型、云端计算或真实硬件。计算 worker 默认不设置时间或输出大小上限;部署可配置资源预算,取消会终止本次计算进程组。连接层超时与硬件环境配置见资源配置。

Tool 不在 Registry 中时,检查“设置中心 → MCP Server 连接 → FatQat 量子实验”,启用后重启 OpenQuantum;不要用 Bash 绕过用户禁用的连接。保留不支持的门、错误参数、超时等失败原因, 调整参数需符合原问题;不能给失败的实验填入示例结果。

结果中的 checks 只检查数值结构与归一化,scientificValidation=not_evaluated。 报告实验假设、关键数值、单位、固定版本和未验证项;MCP 成功和图表都不能作为科研验收或真机性能证明。 任意 Python、用户文件路径、任意模型文档、自动编译、动态控制流、通用 qudit 门、三能级原子私有接口、 QPU 提交和完整课程 UI 不属于这两个 Tool 的能力。更广的科研请求保留这些边界,不把整个上游 SDK 宣称为已暴露。

Read the full file on GitHub · 60 lines

Files

What ships with it

9 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.

Changes

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.

  1. 12d ago Changed · +4 lines 01a68380bbe3
  2. 22d ago Changed · -2 tokens per session 6557bf636ef8
  3. 25d ago First seen · 56 lines · 75 tokens per session scan A 1403d67ddf88

Subscribe to this mod's changes

fatqat-workbench is a skill published in the GitHub repository xi-zhao/OpenQuantum (74 stars, last pushed 9d ago), licensed MIT. It adds 73 tokens to every session and 1,388 once invoked, about $0.0003 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 2026-09-12.

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