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 qcompute-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/qcompute-simulation)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/qcompute-simulation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/qcompute-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/qcompute-simulation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/qcompute-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 | $0.00697 |
| Opus 5.5 | $0.00016 | $0.00279 |
| Sonnet 5.5 | $0.00008 | $0.00139 |
| Haiku 4.5 | $0.00004 | $0.00070 |
Grade A, and why
qcompute-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
QCompute 本地模拟
原生 SDK 路径
本能力同时支持 QCompute 的原生公开 API。用户需要 QEnv、自定义电路、procedure、编译模块与后端 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 qcompute-simulation 定位环境，按完整 SDK 工作流执行。模块导航：QCompute；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 qcompute_local 的 simulate_qcompute_circuit。Skill 负责选择与解释，Tool 负责真实 SDK 执行。
接受 numQubits 与 H/S/T/X/Y/Z/CX/CZ/RX/RY/RZ 的有序门列表；旋转角 angle 为 rad。初态全零，输出完整振幅 [real,imag] 与概率，qubit 0 在位串最左侧。
适配层直接调用 QCompute local_baidu_sim2 的 output_state 路径，不调用云 commit。末端测量只作为该 SDK 所需的程序元数据；output_state 不塌缩状态，返回值不是有限 shots 计数。
固定 QCompute 3.3.5 使用隔离 Python 3.10 与 NumPy 1.26.4。其 SDK 导入会创建工作区缓存目录。后端用每量子位一个 NumPy 数组轴，受该版本 MAXDIMS 表示限制；其他规模由调用方与执行资源决定。
QCompute 的原生 RZ 是相位门 diag(1,exp(iθ))。适配输出乘以 exp(i*globalPhaseCorrectionRadians)，统一为 exp(−iθZ/2)；该相位修正在结果中明确记录。
检查 normError，使用非对称 X 门和旋转算例确认位序。没有噪声、云任务、测量前馈或设备保真度模型。
固定依赖需显式执行 node scripts/setup-paper-tools.mjs qcompute-simulation；调用时不安装依赖，数值库可能写入本地缓存。规模参数不按开发机算例设人工上限；通过独立的 execution 选择部署资源。
当前为 L1，scientificValidation=not_evaluated。成功执行与工程回归不代表科学 Acceptance。
What ships with it
7 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 601705d3bb59
- 18d ago First seen · 25 lines · 40 tokens per session scan A 9365f1e8d1b2
qcompute-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 697 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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