BillyChen123/qdd 预览 preview

BillyChen123/qdd

Plugin插件 Native原生 ⭐ 7 Apache-2.0 Data & Analysis数据与分析Prompts & Skills提示词与技能

Project Overview项目介绍

This repository is a native DeepSeek Harness plugin that implements QDD, short for Question-Driven Discovery, a question-driven orchestration framework for AI-assisted biomedical research. It structures long-horizon research projects into an auditable loop of questions, evidence, artifacts, and next-study decisions. It ships with 34 role-routed domain skills covering common biomedical analysis tasks, and supports capturing public reference data from curated sources including CELLxGENE, GEO, PubMed, and CellMarker. It is currently at release candidate v0.1.0-rc.1, published as a stable reference for an accompanying academic paper, and includes a valid DSH bundle manifest.

QDD provides two modes of operation for research projects: guided human workflows and fully automatic mode. The six guided human workflows cover all stages of research from project initiation, study proposal, design exploration, task execution, study closure, all the way to final project conclusion. Automatic mode runs the core research loop continuously from project start through repeated study cycles, making it suitable for long-running automated research. It is designed specifically for biomedical researchers who want to keep their AI-assisted research organized, auditable, and fully reproducible.

QDD is released under the open-source Apache-2.0 license, and requires Node.js version 20.19.0 or newer to run. To install from source, users run three commands: npm install to pull dependencies, npm run build to compile the code, and npm install -g . to install a global qdd command line tool. Automatic mode requires an Anthropic-compatible model configuration, and DeepSeek models can be used via an Anthropic-compatible API gateway. QDD is explicitly not a clinical decision tool and does not replace domain expert judgment for research work.

QDD(Question-Driven Discovery)是面向AI辅助生物医学发现的问题驱动编排DSH原生插件,核心功能是将长周期研究转化为可审计的「问题-证据-研究产物-下一步决策」循环。它提供问题治理、人机可读代理内存、领域技能注入和公共数据接地四大核心能力,内置34个按角色和任务路由的本地领域技能,支持CELLxGENE、GEO、PubMed等公共生物医学数据的获取与归档。

QDD定义了6种标准化人机协作研究工作流,分别是项目启动、研究提案、方案探索、任务执行、研究收尾和项目总结,同时支持自动模式循环执行「启动-提案-执行-收尾」的研究循环,适合需要开展长周期多步骤研究的生物医学科研人员。它能帮助科研人员保持研究过程连贯可追溯,记录所有负向结果并支持基于结果的研究方向动态调整。

当前QDD处于v0.1.0-rc.1候选发布版本,采用Apache 2.0开源协议,运行要求Node.js版本不低于20.19.0,自动模式需要配置兼容Anthropic协议的大模型。它不是临床决策系统,也不能替代领域专家判断,安装需要通过npm构建并全局安装后,初始化项目即可使用自动模式或手动工作流。

Pre-install check安装前体检Compatibility · Security兼容性 · 安全性 1 warning1 项注意
  • Only 7 stars - very few users, little community feedback星标只有 7,几乎没人在用,遇到问题缺少社区反馈
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

dsh plugin --profile web add github:BillyChen123/qdd

把 BillyChen123/qdd 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

QDD - Question-Driven Discovery

Question-driven orchestration for AI-assisted biomedical discovery.

Turn long-horizon research into an auditable loop of questions, evidence, artifacts, and next-study decisions.

Language

简体中文 · English

Quick Links

Quick Start · Human Workflows · Auto Mode · Skills

Release status: QDD v0.1.0-rc.1 is the public submission-candidate line. This repository accepts reproducibility fixes, bug fixes, documentation improvements, and changes required by manuscript review. New research architectures are developed separately so this line remains a stable reference for the paper.

Quick Start

Requirements:

  • Node >=20.19.0
  • An Anthropic-compatible model configuration for Auto Mode

Install locally:

npm install
npm run build
npm install -g .

Initialize a research project:

mkdir my-qdd-project
cd my-qdd-project
qdd init .

Then either run the six human workflows through your agent, or start Auto Mode for the core research loop:

qdd auto --max-turns unlimited

More installation details are in docs/04-installation-guide.md.

What QDD Gives You

Question governance
Every study records how the research question changed: refinement, confirmation, pivot, or dissolution.
Agent-ready memory
Contracts, study files, task records, artifacts, and evolution history stay readable to both humans and agents.
Domain skill injection
34 local skills are routed by role and task instead of being dumped into every prompt.
Public-data grounding
CELLxGENE, GEO, PubMed, CellMarker, and ligand-receptor references become auditable local artifacts.

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 →

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