flow-vqe SKILL.md skillA
flow-vqe 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/flow-vqe@git:20261012.5ce3b3ePins git:20261012.5ce3b3e 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/flow-vqe/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261012.5ce3b3e, committed Oct 12, 2026
- First version recorded
- Sep 12, 2026
- Size
- 3,963 bytes
- Repository stars
- 71
- License
- MIT
调用论文的 flow 训练算法，对 Pauli Hamiltonian 学习低能量参数。.
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
# Flow-VQE 参数学习 <!-- BEGIN NATIVE SDK ACCESS --> ## 原生 SDK 路径 本能力同时支持 **Flow-VQE source / Torch / Zuko 的原生公开 API**。用户需要 自定义 objective、分布、flow、训练数据与优化循环 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 flow-vqe` 定位环境，按[完整 SDK 工作流](../quantum-sdk-workbench/references/workflow.md)执行。模块导航：`flow_vqe`、`optimization_baselines`、`ansatz`、`torch`、`zuko`；导航不是 API 白名单。 完整 SDK setup 另取固定版本上游源码，论文程序的预置 CLI 不限制用户用公开函数自定义任务。旧 upstream/ 仅供原有便捷 Tool 的稳定实现。 SciPy 固定为 1.17.1，以避开原 1.15.2 PROPACK 扩展在当前 macOS 的加载失败；这是记录在依赖锁中的兼容性调整。 原生程序导入库前，按环境定位器的 `bootstrap` 执行启动兼容处理：校验完整固定源码后加入模块搜索路径，保留 flow_vqe、ansatz 和 optimization_baselines 的上游模块关系。这不限制公开 API，也不替换数值算法。 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。 <!-- END NATIVE SDK ACCESS --> Agent 经 Harness 调用 flow_vqe_local 提供的 `train_flow_vqe`。本 Skill 负责选择和解释，不启动计算进程。 至少 2 个量子位；Pauli 最左字符是 q0，系数为同一能量单位。主计算以无矩阵 RY/CNOT 实振幅 ansatz 训练 flow 参数，返回重算能量及等评估预算的均匀随机搜索基线。量子位、Pauli 项、层数和训练次数由输入决定。当前处理单个 Hamiltonian，不推导跨分子泛化或全局最优。 …
Read the whole file at its exact version.
How to install
mdr add xi-zhao/openquantum/flow-vqe@sha256:181ab3c906f4f6a9The line at the top of this page pins the label git:20261012.5ce3b3e, 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_z3vdd4rujs7v4zd6)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Sep 12, 2026 and Oct 12, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261012.5ce3b3e latest | 2026-10-12 | 5ce3b3e | 3,963 B | A | view · diff |
| git:20260924.1dc6767 | 2026-09-24 | 1dc6767 | 2,465 B | A | view · diff |
| git:20260914.cc4fa9e | 2026-09-14 | cc4fa9e | 2,218 B | A | view · diff |
| git:20260914.3138b36 | 2026-09-14 | 3138b36 | 2,393 B | A | view · diff |
| git:20260912.2aa0707 | 2026-09-12 | 2aa0707 | 1,870 B | A | view |
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 (3963 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_z3vdd4rujs7v4zd6 GET https://markdownregistry.com/api/v1/resolve?ref=xi-zhao/openquantum/flow-vqe GET https://markdownregistry.com/api/v1/blob/181ab3c906f4f6a9c5e094090e0f43c8621a8c611865ef48e103a4d1d4d35c7b
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.