quantum-algorithms SKILL.md skillA
quantum-algorithms 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/quantum-algorithms@git:20261026.a9be484Pins git:20261026.a9be484 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/quantum-algorithms/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261026.a9be484, committed Oct 26, 2026
- First version recorded
- Sep 24, 2026
- Size
- 2,930 bytes
- Repository stars
- 71
- License
- MIT
为 量子计算任务 选择完整的开源算法工作流，路由到本地可发现的专用 Skills。.
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
# root <!-- BEGIN NATIVE SDK ACCESS --> ## 原生 SDK 路径 本能力同时支持 **Qiskit / PennyLane / quimb / PySCF 的原生公开 API**。用户需要 原生 SDK 电路、任意张量网络、MPS/MPO、分子、积分与量子化学计算 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 quantum-algorithms` 定位环境，按[完整 SDK 工作流](../quantum-sdk-workbench/references/workflow.md)执行。模块导航：`qiskit`、`qiskit_algorithms`、`pennylane`、`quimb`、`pyscf`；导航不是 API 白名单。 依赖组有 gradients、pennylane、tensor、chemistry；默认 setup 仅安装基础依赖；按任务选择依赖组，--all 才安装全部组，算法示例不是允许调用的 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。 <!-- END NATIVE SDK ACCESS --> 本地开源适配。上游指南 ID：`root`。 ## 选择工作流 按用户的数学问题、输入、计算规模和输出要求选择实际方法。先用已有 `quantum_practices` Tool 的 search/get 查询方法，返回结果包含本地叶子 Skill；直接加载该方法 Skill。所有入口见[覆盖表](../../../docs/integrations/UNITARYLAB_OPEN_COVERAGE.md)，参数与准备步骤见[共同运行说明](../../../examples/quantum-algorithms/README.md)。 13 个分类索引保留为用户手动导航，不进入模型自动选择目录。无需按目录层级逐级加载。Qiskit/PennyLane 后端指南和开源迁移指南仍可自动选择。知识解释不自动开始计算；计算任务使用已有 Harness Tool，按实际依赖组合方法。 ## 来源与边界 …
Read the whole file at its exact version.
How to install
mdr add xi-zhao/openquantum/quantum-algorithms@sha256:79c1aab3c0810eeeThe line at the top of this page pins the label git:20261026.a9be484, 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_vtnh45lhkf3sdgy7)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Sep 24, 2026 and Oct 26, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261026.a9be484 latest | 2026-10-26 | a9be484 | 2,930 B | A | view · diff |
| git:20261012.5ce3b3e | 2026-10-12 | 5ce3b3e | 2,876 B | A | view · diff |
| git:20260924.97603fc | 2026-09-24 | 97603fc | 1,369 B | A | view · diff |
| git:20260924.4248211 | 2026-09-24 | 4248211 | 1,300 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 (2930 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_vtnh45lhkf3sdgy7 GET https://markdownregistry.com/api/v1/resolve?ref=xi-zhao/openquantum/quantum-algorithms GET https://markdownregistry.com/api/v1/blob/79c1aab3c0810eeeadc45dba434a15e4f202abc64cdd181aea5b3688d76b464a
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.