DeepSeek Harness Plugin Hub

发布与管理完整 Harness Profiles,发现适合你的插件。

探索

插件目录环境预设文档中心动态

社区

发布插件联系我们报告问题

相关链接

Plugin Hub GitHubDeepSeek Harness 官方项目系统状态隐私说明
© 2026 DeepSeek Harness Plugin HubPowered byPaxTech

独立、非官方社区项目,与 DeepSeek 官方无隶属、授权或背书关系。

DeepSeek Harness Plugin Hub
ProfilesPlugins分类动态文档登录管理 Profiles
ProfilesPlugins分类动态文档登录
← Plugins
B

dsh-bookweave

Bookweave

DeepSeek Harness 的 EPUB 阅读器插件:书架、摘录、包含所有提及书名的书目,以及带有来源链接卡片的 AI 章节指南。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add github:adrianwang99/dsh-bookweave#5c2d0dbcabb139a806fdec836dd3384fb7b22f23
README兼容性版本

兼容性与来源证明

Bookweave 以 dsh-bookweave 发布,当前版本为 0.10.1。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
web
发布来源
github
Registry 更新时间
2026/11/4

版本

0.10.1stable
2026/11/4

相关插件

正在加载相关插件…

最新版
0.10.1
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
未提供
文件数
未提供
Surface
web
许可证
MIT
发布源
github
GitHub
★ 0
周下载
0
最近提交
2026/11/4
查看源码 ↗
README Badge

点击下方 Badge 复制 Markdown,粘贴到 README 即可。

这是你的 Plugin?认领权益 · 优先安全扫描

验证 package.json 声明的 GitHub 仓库,即可管理这个公开页面。认领后,Hub 会优先安排当前版本的安全扫描,并在通过后公开展示结果。

认领这个 Plugin →
报告问题

相关插件

继续浏览 productivity-workflow 分类下经过校验的插件。

Acp App@deepseek-ai/dsh-acp-appdsh ACP 配置文件包:基于 dsh-base 的仅限自动化的 JSON-RPC stdio 和进程生命周期管理Experimental Schedule Bundle@deepseek-ai/dsh-experimental-schedule-bundle为 Web 组合添加 Schedule、其任务页面和时间上下文的可选捆绑包Ab Ocrdsh-ab-ocr--- description: "外部 ocr 工具:逐页识别扫描的 PDF 或图像,仅在处理完最后一页后按顺序合并页面,并使用模型确定的标题级别保存为一个 Markdown 文档。" kind: "package-reference" ---Remotedsh-remoteDeepSeek Harness 的远程工作助手:连接 SSH(密码/密钥/代理/键盘交互、多跳 ProxyJump),从 ~/.ssh/config 列出主机,选择远程工作区,使用 21 个 rw_* 工具对其进行操作,支持感知冲突的镜像同步、内嵌 PTY t

README

BookWeave icon

BookWeave · 书脉

Read EPUBs inside DSH, discover every book they cite, and let an AI guide you through the chapters.

English | 中文

BookWeave is a DeepSeek Harness (DSH) Web client plugin. It turns the sidebar into an EPUB reading workspace: a shelf, a distraction-free reader, excerpts, a network of every book mentioned in the text, and an AI-assisted book guide that summarises a chapter and turns its claims and evidence into clickable cards backed by the original paragraphs.

Everything is local-first: EPUBs, excerpts, reading progress and AI results live in your browser's IndexedDB. The only network call is the optional "Analyze chapter" request to your configured model provider.

Features

ShelfImport .epub by click or drag & drop; 2:3 portrait covers extracted from the EPUB; book title, author and reading percentage only.
ReaderSerif prose, adjustable font size, collapsible TOC, chapter navigation, remembered progress. No fixed header — the reading area and the right rail both start at the top of the window.
Book listExtracts every book the current book mentions: 《》 titles, English “quoted title” cues and a curated lexicon, with noise filters (self-references, TOC, chapter headings, periodicals). Each entry links back to the paragraph where it appears.
ExcerptsSelect text → red underline + excerpt card with an optional note; click an excerpt to jump back to the exact paragraph.
Book guideA right-rail tab, left of Excerpts: it opens on the chapter you are currently reading and follows TOC / prev-next / locate jumps. Chapter picker, AI-generated chapter summary, and cards ordered by where they appear in the text. Claims render as an argument chain: the conclusion at the top, an up-arrow labelled “because”, then the reasons/examples/data beneath, each tagged with its relation. Every node shows an “original” excerpt and highlights/flashes the source paragraph on hover/click.
AI analysisOne explicit button per chapter. Fiction → plot summary in the book's own voice + plot beats; nonfiction → claims + evidence. Input is compressed to ≤6–8k characters, output ≤700 tokens, lowest reasoning effort, cached per book/chapter, never re-billed unless you press “Analyze again”.
Book searchFrom a book-list entry, open an in-plugin browser panel pre-filled with a configurable search URL (default: Open Library). Edit the template under Book list → Search source; use {query} for the title, and any search provider works.
ExportExport the whole book list as Markdown.
i18nChinese and English UI.

Install

Requirements — a DeepSeek Harness build with the Web UI. The AI half additionally needs the Host llm service (any provider that DSH can already call); without it, reading, excerpts, book lists and the heuristic guide still work.

From GitHub (available now)

dsh plugin add github:adrianwang99/dsh-bookweave

From npm (after the first npm release)

dsh plugin add dsh-bookweave

From source (for development)

git clone https://github.com/adrianwang99/dsh-bookweave.git
cd dsh-bookweave
dsh plugin add .

Or, if you manage the profile manually, symlink the checkout into the profile and add a link: dependency:

ln -s "$(pwd)" ~/.dsh/profiles/desktop/node_modules/dsh-bookweave
# then add "dsh-bookweave": "link:<absolute path>" to the profile package.json

Restart DSH (⌘Q on macOS) after installing or updating the Host half (index.js); client-only changes are picked up by a page refresh.

The package declares the standard manifest:

{
  "dsh": {
    "bundle": { "patch": "./cordis.patch.yml" },
    "client": { "platform": "web", "immediately": true }
  }
}

Usage

  1. Open 书脉 from the DSH sidebar.
  2. Import an EPUB (click the shelf or drag the file onto the window).
  3. Read: use the floating pills (← shelf, TOC, rail toggle, A−/A+, export) — they stay available while scrolling but take no layout space.
  4. Open the right rail → Guide (default). Pick a chapter, optionally press Analyze chapter.
  5. Hover a guide card to highlight the source paragraph in the text; click it to scroll and flash that paragraph.
  6. Select text in the reader to create an excerpt; open Excerpts to review and jump.
  7. Book list → expand an entry to locate the mention or search the book in the built-in browser. The search URL is configurable (Book list → Search source, default Open Library).

AI analysis & privacy

  • Opt-in only. Opening a book, switching chapters or tabs never calls a model.
  • Small prompts. One chapter's compressed excerpt (≤6,000 chars client-side, 8,000 host-side), concise JSON output (≤700 tokens), lowest reasoning effort the model advertises, no retries.
  • Cached. Results are stored per book + chapter + content fingerprint in IndexedDB. Reopening a chapter shows “Cached” and costs nothing; “Analyze again” is the only way to spend tokens twice.
  • No telemetry. The plugin makes exactly one kind of network request: POST /api/dsh-bookweave/analyze to its own DSH host, which forwards the prompt to your configured model provider.
  • Model override. Set DSH_BOOKWEAVE_MODEL=provider/model before launching DSH to pin a cheaper model for analysis.

Data storage

IndexedDB database dsh-bookweave (version 3): books, index, excerpts, insights. Deleting a book removes its text, book list, excerpts and AI results. Nothing leaves the machine except the opt-in model request.

Development

git clone https://github.com/adrianwang99/dsh-bookweave.git
cd dsh-bookweave
npm test          # core + archive + structure + host suites (Node only, no dependencies)
npm run check     # syntax check the client and host halves

The suites run in plain Node (≥20) without a browser, React or npm dependencies. They load client/client.js through the same window.__ModuleLoader__ seam the DSH Web client uses, and exercise the plugin.core exports plus a fake host-side LLM for the AI route. See test/README.md.

Optional real-book smoke tests are skipped unless you point at your own EPUBs:

BOOKWEAVE_SMOKE_ZH=/path/to/zh.epub BOOKWEAVE_SMOKE_EN=/path/to/en.epub npm test

Project structure

.
├── client/client.js        # everything UI + core (EPUB parsing, extraction, guide, AI client)
├── index.js                # Host half: /api/dsh-bookweave/analyze (LLM call, prompt, normalisation)
├── cordis.patch.yml        # bundle patch: registers the plugin row
├── locale/{zh,en}.json     # plugin metadata strings
├── icon.svg                # sidebar icon
├── plugin.json             # marketplace metadata (deepseek.stream upload)
├── test/                   # node-only suites + synthetic EPUB fixtures
├── docs/PUBLISHING.md      # npm / awesome-dsh-plugin / WhaleHub / deepseek.stream guide
└── marketplace/            # ready-to-submit community marketplace entries

Known limitations

  • EPUB parsing is a tolerant pure-JS implementation; malformed EPUBs fall back to a lighter archive discovery path, but DRM-protected files are not supported.
  • Mention extraction is heuristic: it errs on the side of recall and can include the current book or chapter titles; the book-list UI marks them and the export keeps them out of the “found books” count.
  • The AI guide is per chapter and capped for cost; it is not a full-book analysis.
  • The built-in browser cannot inject text into a cross-origin page; it opens a search URL instead.
  • AI results depend on the configured model; a weak model may produce a poor summary. Cached results are never silently replaced.

License

MIT © 2025 adrianwang99