slowquant-response SKILL.md skillA
slowquant-response from xi-zhao/openquantum is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add xi-zhao/openquantum/slowquant-response@git:20261031.1b968d4Pins git:20261031.1b968d4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- xi-zhao/openquantum
- Path
.agents/skills/slowquant-response/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261031.1b968d4, committed Oct 31, 2026
- Size
- 5,895 bytes
- Repository stars
- 71
- License
- MIT
使用 SlowQuant 的酉波函数和量子线性响应，研究分子激发能、跃迁性质与吸收谱。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# SlowQuant 分子响应与谱学 <!-- BEGIN NATIVE SDK ACCESS --> ## 原生 SDK 路径 本能力使用 **SlowQuant 的原生公开 API**。用户需要 自定义分子、活性空间、酉波函数与量子线性响应，计算激发能、跃迁性质和吸收谱 时，由 Agent 在固定依赖环境中编写和运行任务代码。 使用 `node scripts/sdk-access.mjs inspect slowquant-response` 定位环境，按[完整 SDK 工作流](../quantum-sdk-workbench/references/workflow.md)执行。模块导航：`slowquant.SlowQuant`、`slowquant.unitary_coupled_cluster.ucc_wavefunction`、`slowquant.unitary_coupled_cluster.ups_wavefunction`、`slowquant.unitary_coupled_cluster.linear_response`、`slowquant.qiskit_interface.interface`；导航不是 API 白名单。 固定完整源码，经显式准备与摘要校验后使用；不通过 pip 安装同名包。 不同响应形式、轨道与活性空间近似须分别解释；数值回归不代表最终科学验收。 Qiskit 入口与真实硬件验证分开报告；云端任务需另行授权。 原生程序导入库前，按环境定位器的 `bootstrap` 执行启动兼容处理：校验固定完整源码后加入模块搜索路径；保留全部上游公开 API，不替换响应方程或数值算法。这不限制公开 API，也不替换数值算法。 本入口复用宿主文件与代码工具，没有新增通用执行 Tool。原生 SDK 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。 <!-- END NATIVE SDK ACCESS --> 适用于用户需要比较活性空间、轨道优化、UCC/UPS 波函数及不同 qLR 形式对分子谱学结果的影响。 用户可自定义分子/基组、电子与自旋、积分来源、活性空间、ansatz、激发阶数、优化方法及输出； 规模由所选方法、后端、内存和用户预算决定。例子的 H₂ 与两种响应形式只是核验样本。 普通 HF/积分或已有 VQE/VQD/SQD 任务优先复用相应能力，不因为库可用而替换用户的方法。 ## 准备与使用 1. 先运行 `node scripts/sdk-access.mjs inspect slowquant-response`，读取目录、完整源码 SHA、锁与准备状态。 …
Read the whole file at its exact version.
How to install
mdr add xi-zhao/openquantum/slowquant-response@sha256:4ed005a851c30ae7The line at the top of this page pins the label git:20261031.1b968d4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ybhqr3jzfsqkxkfb)
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Versions
The registry has recorded 1 version of this file, committed on Oct 31, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5895 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
xi-zhao/openquantum · 71 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ybhqr3jzfsqkxkfb GET https://markdownregistry.com/api/v1/resolve?ref=xi-zhao/openquantum/slowquant-response GET https://markdownregistry.com/api/v1/blob/4ed005a851c30ae792c3038dbeb0bdb3c4a57833f8c11c18bb9ecc35e91dcc21
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.