watericetangcw/academic-research-graph

Name: watericetangcw/academic-research-graph
Author: watericetangcw

Plugin插件 Native原生 ⭐ 5 MIT Prompts & Skills提示词与技能

一项将单篇论文转化为动态研究地图的技能。

Project Overview项目介绍

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

This repository hosts the Academic Research Graph Skill, which works natively with DeepSeek Harness (DSH) and can also be imported as a custom skill into OpenAI ChatGPT. To install it natively into a DSH profile, you first need to have Node.js version 22.19.0 or newer installed on your system, along with pnpm available on your system PATH. You can enable pnpm via the corepack enable command that ships with modern Node.js, then run the DSH plugin install command to add the bundle to your default web profile, then start DSH to begin using the skill.

The core capability of this skill is to generate an interactive, explorable research graph based on your input query. You can input a paper URL, DOI, arXiv ID, title, PDF, academic concept, benchmark, claim, or even a GitHub repository associated with an academic paper. The skill will research the surrounding literature, map intellectual lineages, highlight disagreements and conflicting findings, and output a clickable graph where each node includes a plain-language summary of the relevant paper for readers who have not read the original work, helping you grasp key contributions without opening the full PDF.

This project is released under the open source MIT license, so you can use or modify it freely for personal or academic work with no restrictions beyond the license terms. To use it with ChatGPT instead of DSH, you can download the latest release ZIP from the GitHub releases page, then import it into ChatGPT Skills via the provided SKILL.md entry point. The generated graph supports incremental updates, so you can extend an existing graph by researching new branches from any existing node and merge the new results back without rebuilding the entire graph from scratch.

这是一个同时支持ChatGPT和原生DeepSeek Harness（DSH）的学术研究图谱技能，核心功能是根据用户输入的论文、学术概念、基准、主张或关联代码仓库，生成可交互的学术研究关系图谱。它会梳理学术思想的起源、演化路径、不同观点分歧，最终输出可探索的可视化图谱，而非单一的引用文献列表，帮助用户快速把握领域整体研究脉络。

典型使用流程是先安装技能，再输入需要研究的对象和输出语言要求，等待生成图谱后即可点击节点探索详情。用户也可以基于已有图谱的任意节点发起增量研究，扩展新的研究分支后合并回原图谱，无需重新生成整个内容。该工具面向需要梳理学术领域发展脉络的科研人员，支持输出简体中文、英文或双语内容，核心节点自带适配领域读者的内容解读。

本项目采用MIT许可协议开源，在DSH中安装需要提前配置Node.js 22.19.0以上版本和pnpm包管理器，可通过核心包管理命令corepack enable启用pnpm。安装命令为npx @deepseek-ai/dsh plugin --profile web add github:watericetangcw/academic-research-graph，安装完成后启动DSH即可使用。本技能也支持打包导出为ZIP包，导入到ChatGPT技能中使用。

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：academic-research-graph（watericetangcw/academic-research-graph）
仓库：https://github.com/watericetangcw/academic-research-graph
本站详情页：https://www.yhbd.top/plugins/watericetangcw-academic-research-graph/
本站登记：类型 plugin · 归类 原生 DSH 插件 · 许可证 MIT · ⭐ 5 · 最近提交 2026-08-15 · 主语言 HTML

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 warning1 项注意

Only 5 stars - very few users, little community feedback星标只有 5，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

npx @deepseek-ai/dsh plugin --profile web add github:watericetangcw/academic-research-graph

把 watericetangcw/academic-research-graph 加入你的 DSH 配置（web profile）即可启用。

READMEREADME

7.6 KB · 缓存于 2026-08-23 03:42:24 · 7.6 KB

Academic Research Graph Skill

简体中文

Turn one paper into a living research map.
Trace where an idea came from, how it evolved, who challenged it, and what the code actually does.

Example instruction: "Research the concept Transformer and paper Attention Is All You Need with @academic-research-graph."

Give the Skill a paper, academic concept, benchmark, claim, or paper-associated GitHub repository. It researches the surrounding literature and returns an interactive graph you can actually explore—not just a long list of citations.

See the field, not just the bibliography

Follow the main intellectual lineage

See which earlier work supplied the key idea, which papers genuinely extended it, and which branches became important later.

Understand papers you have never read

Each important node explains the paper for someone who knows the field but has not opened the PDF: background, problem, method, evidence, significance, and limitations.

Find real disagreements

Conflict edges highlight criticism, contradictory findings, failed reproductions, incompatible assumptions, and cases where two papers only appear to disagree because they use different data or evaluation protocols.

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 watericetangcw/academic-research-graph 的 README.md。在 GitHub 查看原文 →