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 qdk-resource-estimationgit 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/qdk-resource-estimation)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/qdk-resource-estimation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/qdk-resource-estimation/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/qdk-resource-estimation"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/qdk-resource-estimation.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 | $0.00041 | $0.00806 |
| Opus 5.5 | $0.00016 | $0.00322 |
| Sonnet 5.5 | $0.00008 | $0.00161 |
| Haiku 4.5 | $0.00004 | $0.00081 |
Grade A, and why
qdk-resource-estimation 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
QDK 容错资源估算
原生 SDK 路径
本能力同时支持 QDK 的原生公开 API。用户需要 Q# 程序、资源模型、误差预算与资源估算接口 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 qdk-resource-estimation 定位环境，按完整 SDK 工作流执行。模块导航：qdk；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 qdk_local 提供的 estimate_qdk_resources。Tool 接收结构化门列表，内部生成 Q# 的固定语法，并调用现代 qdk.qre；不接收任意 Q# 源码或使用已弃用的 qsharp.estimate。
先确定逻辑电路 numQubits、gates，再明确硬件假设：physicalErrorRate 为物理操作错误概率，gateTimeNs、measurementTimeNs 用 ns，maxError 为整体估计错误预算，四者都有可读回的默认值。电路支持 H/S/T/X/Y/Z、CX/CZ、RX/RY/RZ，旋转角度用 rad。
模型固定为 QSharpApplication、GateBased、SurfaceCode.q() * RoundBasedFactory.q()，使用固定 QDK 版本的默认 trace transforms 和查询参数域。生成的 Q# 末尾附加 ResetAll，其测量/重置成本计入结果。输入不保存或执行外部源码。
返回 frontier 中每个方案的 physicalQubits、runtimeNs、errorProbability 与搜索统计。比较方案时同时陈述物理错误率、门时长、纠错和工厂模型。前沿仅在该模型枚举的设计空间内有效，不是所有硬件架构的全局最优解；feasible=false 表示本次模型没有找到预算内方案。时间是模型估计，不是实际服务排队时间或硬件测量。
固定 QDK 1.32.3（MIT），接口迁移依据 QREv3。本工具本地运行，无需 Azure 账号，也不代表 Azure 执行接口已接入。
先运行 node scripts/setup-paper-tools.mjs qdk-resource-estimation 显式准备固定依赖。计算 Tool 不安装依赖、不连接外部服务；SDK 可能写本地缓存，因此最大副作用登记为 workspace-write。部署时间、输出大小与线程设置使用 execution，与方法规模分开。
当前为 L1，scientificValidation=not_evaluated。本地数值、协议与 Harness 测试是开发证据；执行成功不等于 central Acceptance Builder 已推导科学验收。
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.
- 4d ago Changed · +11 lines 103d0263d86d
- 18d ago First seen · 21 lines · 41 tokens per session scan A 8fb13a82479d
qdk-resource-estimation is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 806 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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