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/quantum-sdk-advisor/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/quantum-sdk-advisor)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/quantum-sdk-advisor"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/quantum-sdk-advisor.svg" alt="Measured on agentmods" 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 | $0.00121 | $0.00831 |
| Opus 5 | $0.00060 | $0.00415 |
| Sonnet 5 | $0.00024 | $0.00166 |
| Haiku 4.5 | $0.00012 | $0.00083 |
Grade A, and why
quantum-sdk-advisor 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 6d 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
Quantum SDK Advisor
核心任务
先把用户的量子问题映射到一个可执行、可验证的软件栈，再讨论框架偏好。不要按热度或单一供应商选型。 需要比较项目时先读 references/ecosystem.md。
选型流程
- 明确问题类型：电路工程、变分算法、量子化学、纠错、噪声缓解、资源估算、云硬件或 GPU/HPC。
- 明确执行目标：本地 statevector、shots/noise、真实 QPU、容错资源估算或只生成可审查代码。
- 明确约束：量子位规模、经典算力、Python/C++/.NET、云账户、预算、许可证和复现要求。
- 判断需要哪些独立模块：领域 Skill、Tool、可选 MCP Server、Scientific Validator、Acceptance Profile，以及独立的 eval evidence。纯知识工作流不强制需要 Tool；本地 Tool 不强制需要 MCP；没有科学主张的工程操作也 不强制需要 Validator。
- 优先复用 OpenQuantum 已有能力：
- 通用电路与 Qiskit 文档：默认 Qiskit MCP Server；
- 窄作用域二量子位基态：
quantum-ground-state； - 其他 SDK：先作为候选，不假装平台已经安装或验证。
- 云硬件、凭据和可能付费的任务一律单独列出，并要求用户显式选择；技术选型本身不触发提交。
- 给出一个主推荐、一个备选和明确的淘汰理由，不堆砌所有框架。
不变量
- Skill 描述工作流，Tool 产生执行事实，MCP Server 暴露 Tool，Harness MCP Client 负责注册 Tool；Agent Preset 组合 Skill Provider、Tool Provider、策略，以及确有 hook 需要的 agent-scoped Host Plugin。Tool 或 Materializer 显式调用 Validator，Validator 只产生 observations。Acceptance Profile 是版本化规则数据，central Acceptance Builder 汇聚 Profile、 observations 和 provenance 推导 Acceptance；Harness 不会因源码共置自动建立绑定。
- “库支持某算法”不等于 OpenQuantum 已集成该能力，也不等于结果已验收。
- 不自动安装未知来源的 Skill 或 MCP Server；先核对许可证、版本、维护状态、网络与副作用。
- GPL 项目可以作为研究参考或独立进程候选，但在纳入发行版前必须单独做兼容性判断。
- 真实硬件选型必须同时说明凭据、区域、队列、费用、数据外发和结果不确定性。
输出格式
按以下结构回答：
- 任务与约束；
- 主推荐栈及理由；
- 备选栈及何时更合适；
- OpenQuantum 接入方式（Skill / Tool Provider / Validator / Profile）；
- 本地验证路径；
- 云端或许可证风险；
- 当前是“已集成”“可适配”还是“仅候选”。
What ships with it
2 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.
- 6d ago First seen · 51 lines · 121 tokens per session scan A 5af4a4b4dd15
quantum-sdk-advisor is a skill published in the GitHub repository xi-zhao/OpenQuantum (48 stars, last pushed yesterday), licensed MIT. It adds 121 tokens to every session and 831 once invoked, about $0.0006 per session on Opus 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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