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 quairkit-informationgit 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/quairkit-information)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/quairkit-information"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/quairkit-information/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/quairkit-information"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/quairkit-information.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 | $0.00045 | $0.00700 |
| Opus 5.5 | $0.00018 | $0.00280 |
| Sonnet 5.5 | $0.00009 | $0.00140 |
| Haiku 4.5 | $0.00005 | $0.00070 |
Grade A, and why
quairkit-information 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
QuAIRKit 量子信道
原生 SDK 路径
本能力同时支持 QuAIRKit 的原生公开 API。用户需要 任意维数态、信道、算符、电路与可微优化 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 quairkit-information 定位环境，按完整 SDK 工作流执行。模块导航：quairkit；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 quairkit_local 的 simulate_quairkit_channel。Skill 负责选择与解释，Tool 负责真实 SDK 执行。
先提供 numQubits、结构化 gates，再提供 channels。输入态固定为全零；H/S/T/X/Y/Z/CX/CZ 和 RX/RY/RZ 的角度用 rad。所有信道在整个电路之后按列表顺序作用，不能将其描述为每门噪声模型。
每个信道指定 target 和 [0,1] 范围的 strength。幅度阻尼对应激发态衰减概率 γ；相位阻尼将局域相干乘以 √(1−γ)；退极化使用 (1−p)ρ + p I/2 的单量子位约定，纠缠态通过局域 Kraus 算符作用。
densityMatrix 每项为 [real,imag]，计算基中 qubit 0 对应最左位。输出 trace、purity 和 Hermiticity 残差只描述数值结果，不是独立科学验收。使用 CPU complex128；没有状态裁剪、重归一化或设备标定。
先检查 trace 接近 1、Hermiticity 残差小，再结合阻尼、退极化和输入态解释纯度变化。密度矩阵内存随 4^N 增长。
固定依赖需显式执行 node scripts/setup-paper-tools.mjs quairkit-information；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 5670812173eb
- 18d ago First seen · 23 lines · 45 tokens per session scan A f0d308cfec8e
quairkit-information is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 700 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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