unitarylab/quantum-practices

Name: unitarylab/quantum-practices
Author: unitarylab

Plugin插件 Native原生 ⭐ 18 NOASSERTION Data & Analysis数据与分析 Prompts & Skills提示词与技能

量子算法最佳实践

Project Overview项目介绍

Edited by Zhiwei Agent (zhiwei)由知微Agent(zhiwei)编辑

This repository is a native DeepSeek Harness tool bundle built exclusively for DSH agents, providing structured, read-only guidance for quantum algorithm development via a dedicated quantum_practices tool. It adapts the public corpus from the upstream unitarylab/quantum-skills repository into a DSH-native plugin, packaging more than 60 best practice guides covering all major categories of quantum algorithms from primitive operations to quantum error correction. You can install it via the DSH CLI with a single command that targets your existing DSH profile, whether you use the DSH web UI or a headless CLI setup.

After installation, the typical workflow starts when a user asks a question about quantum algorithms to their DSH agent. The agent will automatically call the quantum_practices tool to retrieve relevant best practice guidance before answering the user's question, following the structured practice information provided by the plugin. This plugin is designed for quantum algorithm learners, developers, and researchers who need trusted reference material for algorithm design, implementation, and debugging.

Quantum-Practices is released under the open-source MIT license, and as a read-only DSH plugin, it does not require any additional Python dependencies or runtime to function. It does not execute external code, modify your local file system, or require any credentials to use. It includes guidance for three popular quantum simulators: UnitaryLab (the recommended default), Qiskit, and PennyLane, and helps users select the right simulator for their specific use case.

unitarylab/quantum-practices 是一款专门为 DeepSeek Harness 开发的原生插件，它将量子算法最佳实践整理为可供 DSH 代理调用的只读工具。该插件基于开源项目 unitarylab/quantum-skills 的内容改编，提供了 60 余个打包的量子算法最佳实践指南，覆盖从基础原语到量子纠错等多个领域，支持通过 DSH CLI 快速安装到 Web 或无界面配置文件。

安装完成后，用户向 DSH 代理提问量子算法相关问题时，代理会优先调用 quantum_practices 工具查询对应主题的最佳实践指南，再基于获取的结构化指导回答用户问题。该插件适合量子算法学习者、开发者和研究者使用，可为量子算法的概念讲解、电路设计、代码实现和调试提供权威参考内容。

该插件采用 MIT 许可协议，作为 DSH 插件安装运行时不需要额外的 Python 依赖或运行时环境，不会执行任意代码也不会修改本地文件系统。它支持 UnitaryLab（默认）、Qiskit、PennyLane 三款量子模拟器，并会根据用户使用场景指引选择合适的模拟器。

View on GitHub在 GitHub 查看

Send to your DSH发给你的 DSH 安装

请帮我安装这个 DSH 插件。安装前先完成【兼容性检查 + 安全性检查】，检查通过再动手。

插件：quantum-practices（unitarylab/quantum-practices）
仓库：https://github.com/unitarylab/quantum-practices
本站详情页：https://www.yhbd.top/plugins/unitarylab-quantum-practices/
本站登记：类型 plugin · 归类 原生 DSH 插件 · 许可证 NOASSERTION · ⭐ 18 · 最近提交 2026-08-14 · 主语言 Python

按下面顺序执行，每步先把结论告诉我，再进入下一步：

【1 兼容性检查】
① 我这边：DSH 版本、Node 版本、操作系统、当前 profile（web / desktop）。
② 读它的 README、package.json、插件 manifest，列出它要求的 DSH 版本 / Node 版本 / 操作系统 / 外部依赖 / 需要另外先装的运行时。
③ 逐条比对，结论只写「满足 / 不满足 / 未知」三种；不满足的给出可行替代方案。
④ 检查是否和我已装的插件冲突：命令名重复、skill / tool 重名、端口占用、重复注册的 MCP server。

【2 安全性检查】
① 仓库可信度：和上面「本站登记」是否一致；star / fork 数、创建时间、最近提交，是否归档或长期停更。
② 安装脚本：逐行看 package.json 的 preinstall / install / postinstall，以及 install.sh、setup.ps1 之类脚本。出现 curl|bash、下载后直接执行、混淆代码、访问与插件功能无关的域名，立刻停下来告诉我，不要继续装。
③ 依赖：列出新增依赖，标出无人维护、或与知名包拼写近似的可疑包（typosquatting）。
④ 权限与副作用：它会读写哪些目录、访问哪些域名、需要哪些 DSH 权限（filesystem / network / shell / clipboard 等），以及怎么卸载和回滚。
⑤ 如果它要求 sudo / 管理员权限，或权限明显超出功能所需，先停下来问我。

【3 安装】
上面两步没有「不满足」和「高危项」时才执行；用官方推荐方式安装，不要自行提权。

【4 汇报】
用表格输出：检查项 / 结论 / 依据 / 是否需要我决策。拿不准的一律写「未知」并说明要我怎么确认——不要猜，也不要替我决定。

Send this message to DSH in your current session: it verifies compatibility and security first (answering met / not met / unknown item by item) and only installs once everything checks out — it will stop and ask you if it finds a high-risk item. The box scrolls; the copy is the full prompt. CLI install commands may not be accurate across systems, so DSH is the safer route.把上面这条消息直接发给当前会话里的 DSH：它会先核对兼容性与安全性（逐条给「满足 / 不满足 / 未知」），确认没问题再安装，有高危项会停下来问你。框内可滚动，复制到的是完整提示词；安装命令不一定准确，发给 DSH 更稳。

Pre-install check安装前体检Compatibility · Security兼容性 · 安全性 1 note1 项提示

18 stars - an early-stage project星标 18，属于早期项目

DSH walks through these 9 checksDSH 会逐条核对这 9 项

Compatibility兼容性

DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时（Electron / Python / Docker 等）是否齐备
Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突：命令名、skill / tool 重名、端口占用、重复 MCP 注册

Security安全性

Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致，是否归档或长期停更
Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需（filesystem / network / shell / clipboard）
Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限，以及卸载与回滚方式

Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照，不能替代安全审计。

Or use CLI install (for developers)或使用命令行安装（适合开发者）

CLI Install命令行安装

npx @deepseek-ai/dsh@0.1.0-rc.6 plugin --profile web add \

把 unitarylab/quantum-practices 加入你的 DSH 配置（web profile）即可启用。

READMEREADME

15.4 KB · 缓存于 2026-08-23 03:41:04 · 15.4 KB

⚛ Quantum-Practices

Quantum Algorithms Best Practices
量子算法最佳实践

English · 中文

English

What is this?

Quantum-Practices is a DeepSeek Harness tool bundle for quantum algorithm best practices. It provides structured, reviewable guidance to DeepSeek Harness agents through a read-only model-facing tool.

As a DeepSeek Harness plugin, it registers one read-only quantum_practices tool for listing, searching, and reading packaged quantum algorithm practice guides from an immutable build-time catalog.

Quantum-Practices is based on and adapted from the GitHub project unitarylab/quantum-skills. The original project provides the quantum algorithm guide corpus; this repository reworks that foundation into a DeepSeek Harness tool bundle with a generated, read-only practice catalog.

✨ Key Features

Progressive Disclosure — Root SKILL.md is lightweight; algorithm and simulator guides load only when needed.
DeepSeek Harness Tool Bundle — quantum_practices exposes list, search, and get without executing code.
Read-Only Runtime — No network, subprocess, filesystem writes, Python execution, credentials, or native code.
Best-Practice Coverage — Primitives, linear systems, cryptography, Hamiltonian simulation, Schrodingerization, eigensolvers, gradients, quantum machine learning, state preparation, and quantum error correction.
Multi-Simulator Support — UnitaryLab (recommended), Qiskit, and PennyLane, with clear selection rules.
GitHub-Sourced Corpus — Practice guides are synchronized from the public GitHub upstream only.
Education-Friendly — Suitable for concept explanation, circuit design, code review, and hands-on demos.

Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要，完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →

渲染基于仓库 unitarylab/quantum-practices 的 README.md。在 GitHub 查看原文 →