dsh-deepread

DSH PLUGIN记忆与知识

仓库 xiehuan123/dsh-deepread · npm dsh-deepread

记忆与知识 L4 · 沙盒安装通过 安全审查:低风险 可信度:银 可安装插件
安装这个插件

DeepRead 是 DSH plugin,为 AI Agent 提供证据优先的深度阅读,将文章、书籍、PDF 转化为可追溯的主张、证据、置信度与知识图谱。

一句话选型结论

按资料字段整理

dsh-deepread 是记忆与知识类的 DSH 可安装插件,验证等级 L4 · 沙盒安装通过,安全审查为低风险,列出 5 项功能,有可直接复制的安装命令。验证通过不等于安全:插件会读写文件、执行命令或联网,装前先到仓库确认它做了什么;涉及密钥或系统权限的,建议先在隔离环境试装。

分类记忆与知识 收录类型可安装插件 验证等级L4 · 沙盒安装通过 安全审查低风险
验证等级 L4 L4 · 沙盒安装通过
GitHub 星标 59 复刻 7 · 未关闭 issue 0
最近更新 2026-09-11 创建于 2026-08-15
README 20.7 KB 正文体量,越大说明说明书写得越细

安装

可安装插件
在 DSH 里执行,装完用 dsh plugin list 确认已挂上;标了 L4 / L5 的命令已在沙盒里真实跑通
dsh plugin --profile web add dsh-deepread@1.0.1
  1. 1
    确认版本与运行环境

    兼容的 DSH 版本为 0.1.7-rc.2 等 10 个;版本不匹配时安装会报错。

  2. 2
    执行安装命令

    在 DSH 里执行上面的命令;多包仓库要注意区分具体子包名,别装错包。

  3. 3
    确认已挂载

    用 dsh plugin list 查看列表里是否出现这个插件,出现即挂载成功。

  4. 4
    试跑并检查权限

    加载后跑一个最小用例,确认它能正常工作;同时看它申请了哪些文件、命令或网络权限。

兼容 DSH 版本0.1.7-rc.2 等 10 个版本版本不匹配时安装会报错
Node.js 要求未标注来自仓库 package.json 的 engines 字段
前置依赖无需要同时安装的同级依赖
npm 包名dsh-deepread可用 npm view 查看包信息

能做什么

5 项功能
字段来自项目仓库与公开索引,中文说明由本站标注

dsh-deepread:DeepSeek Harness 的证据优先深度阅读插件

  • 五种阅读模式
  • 知识图谱生成
  • 支持PDF与微信文章
  • 批量对比分析
  • 成本预估与导出

适用场景

文件读写记忆

上游标签

agent-skillsai-agentanalysisclaude-codecodexdeep-readdeep-readingdeepseek-harnessdocument-analysisdsh-pluginfact-checkingfeynmanfeynman-techniqueknowledge-managementknowledge-mapmindmap

验证等级与安全审查

L4 · 沙盒安装通过
自动化流程结论,不是人工审核
验证等级L4 · 沙盒安装通过安装命令在隔离沙盒内真实执行成功,无依赖错误
安全审查低风险静态分析结论,未标注不代表已通过审查
仓库健康度活跃按仓库活跃度与最近更新时间给出
可信度银综合仓库活跃度与验证结果

上面的结论来自上游最近一次自动化验证(2026-10-08): 同一套检查会在插件发新版后重跑,页面显示的是最新一次的逐项结果。

逐项检查结果

L1 · 已找到 ✓ 通过
  • L1.0_DEFAULTED_FROM_L3 由 L3 推定 默认通过——L3 安装规范已通过(全库 L3 扫描策略)
L2 · 结构化 ✓ 通过
  • L2.0_DEFAULTED_FROM_L3 由 L3 推定 默认通过——L3 安装规范已通过(全库 L3 扫描策略)
L3 · 安装规范 ✓ 通过
  • L3.1_INSTALL_COMMAND_PARSED 安装命令已解析 方式:安装规范解析
  • L3.2_DSH_VERSION_DECLARED DSH 版本已声明 方式:DSH 版本声明
L4 · 安装已测 ✓ 通过
  • L4.1_INSTALL_EXECUTED_CONFINED 受限沙盒内执行安装 方式:沙盒安装执行
  • L4.2_INSTALL_SUCCESS 沙盒安装成功 方式:沙盒安装执行
  • L4.3_ARTIFACT_CONFIRMED 安装产物已确认 方式:沙盒安装执行
L5 · 运行已测 ✕ 未通过
  • L5.1_INSTALL_PASSED_SANDBOXED 沙盒安装通过 方式:沙盒安装执行
  • L5.2_WEB_BOOT_READY Web 启动就绪 boot failed
  • L5.3_HTTP_SERVED HTTP 服务响应
  • L5.4_PLUGIN_INVENTORY_ACTIVE 插件清单中已激活 方式:插件清单查询

风险详情

  • 审查结论 通过
  • 结论说明 vet 静态分析未发现可疑行为,判定为干净(clean)。
  • 风险计数 严重 0 / 高 0 / 中 0
  • 风险详情 未发现严重或警告级问题。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 验证等级 L4:在沙盒里真实装过,依赖能装上,不是纸面声明。
  • 静态安全审查为低风险,没有发现明显可疑行为。
  • 有可直接复制的安装命令,不用自己翻文档找入口。
  • 标注了兼容的 DSH 版本(0.1.7-rc.2 等 10 个),按版本装不容易报错。
  • 列出了 5 项功能,能直接看出它解决什么问题。

先想清楚的地方

  • 没有声明 Node.js 版本要求,版本不匹配可能装不上。
  • 验证通过不等于安全:插件会读写文件、执行命令或联网,装前先到仓库确认它做了什么。

更适合

  • 需要在记忆与知识场景里给 DSH 补能力的人。
  • 想装完就能用、不想自己排依赖的人。
  • 能接受在本地装依赖、愿意自己确认权限的人。

不太适合

  • 只使用 DSH 官方内置能力、不接受第三方插件的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
插件验证等级安全审查星标兼容版本安装命令
dsh-deepread当前 L4 · 沙盒安装通过 低风险 59 0.1.7-rc.2 等 10 个 有
ruflo L3 · 安装规范通过 低风险 7.4 万 未标注 无
OpenViking L3 · 安装规范通过 低风险 3.9 万 未标注 无
WeKnora L4 · 沙盒安装通过 低风险 3.3 万 未标注 有
distilly L4 · 沙盒安装通过 低风险 2.5 万 未标注 有
EverOS L4 · 沙盒安装通过 低风险 1.3 万 未标注 有

仓库档案

记忆与知识
字段来自项目仓库与公开索引,中文说明由本站标注
作者 / 维护方xiehuan123仓库 dsh-deepread · 默认分支 main
分类记忆与知识memory
收录类型可安装插件声明了 dsh.bundle、可用 dsh plugin add 安装的条目
开发语言JavaScript仓库主语言
许可证MIT商用或二次分发前请确认条款原文
星标 / 复刻 / issue59 / 7 / 0收录时的数值,非实时
创建 / 更新2026-08-15 · 2026-09-11最后推送 2026-09-11
本站收录2026-08-15首次进入本站目录的时间

README 全文

20.7 KB
作者原文,中文版优先;只做安全转义,不改内容

📖 DeepRead — Make AI reading traceable

Website · Real outputs · English · 中文

> Turn articles, books, PDFs, and document sets into claims you can trace back to evidence and source locations.






DeepRead is available in two compatible forms:

  • Portable Agent Skill for Codex, Claude Code, and other Agent Skills-compatible tools. Zero runtime dependencies; the agent follows the evidence-first reading workflow with its own file and web tools.
  • Host plugin package for DeepSeek Harness Web/headless and dsh-TUI, with a deepread tool, PDF extraction, optional persistence/jobs/Web route, batch comparison, cost preview, and HTML/XMind-compatible export. Its browser client is an optional Web-only entry.

Why it is different

A typical summary DeepRead
Compresses the topic Extracts complete claims and the reasoning behind them
Blends source facts with model inference Labels author intent, source facts, reasoned inference, and unverified content
Makes conclusions hard to check Pairs important claims with evidence and page/paragraph locations
Stops at an answer Adds knowledge maps, conflicts, limitations, and active-recall questions

If the source does not support a claim, DeepRead says “source does not provide evidence” instead of filling the gap.

The real DeepSeek Harness Web reading panel. The portable Agent Skill uses the same evidence-first workflow without this runtime UI.

Quick start

Portable Agent Skill

npx skills@latest add xiehuan123/dsh-deepread

Then ask your agent:

Deep-read docs/architecture.pdf in knowledge-map mode.
For every important claim, show the supporting evidence and source location.

Full DeepSeek Harness plugin

dsh plugin --profile web add dsh-deepread

If pnpm reports ERR_PNPM_ADDING_TO_ROOT, retry with the profile workspace made explicit:

dsh plugin --profile web add -w dsh-deepread

Restart dsh web, then use the 📖 reading panel or call the deepread tool in chat.

See real outputs

These are complete reports generated from public articles, not hand-written mockups:

Report What DeepRead made visible
deep · Claude Code token optimization Reconstructed the engineering chain from visibility to input, output, and retrieval-path compression; separated recommendations from project-authored benchmarks.
map · Marketing-claim fact check Found that the article's “90%”, “¥1.28M salary”, and “¥2,000/day” claims had no source, sample, or baseline; marked each one unverified.
deep · vivo Tauri architecture Connected architecture choices to reported size/performance evidence while preserving the article's untested assumptions and deployment limits.

Browse all reproducible examples →

Features

Capability Details
🎛️ Five modes quick key takeaways · deep in-depth reading · map knowledge map · feynman Feynman technique (11-step loop + spaced repetition) · book whole-book reading (see the comparison below)
🗺️ Knowledge-map mode Core question / core conclusion / ten content categories (conclusion, sub-claim, mechanism, fact, data, case, hidden premise, objection, limitation, actionable advice) / every claim paired with evidence (unverifiable claims marked "no evidence provided in the original text") / key data table (value & unit, time range, sample, baseline, source, location) / eight relation labels (supports, refutes, causes, explains, depends on, exemplifies, contrasts, limits) / four confidence levels (author intent, original facts & data, reasonable inference, unverifiable) / Mermaid mindmap / XMind outline / 5 active-recall questions
📥 Three inputs WeChat article URLs (mp.weixin.qq.com stable links) · files (.txt/.md/.html/.pdf, PDF via a built-in pure-JS extractor with Chinese ToUnicode mapping, page markers, and object-stream/xref-stream support) · pasted text
📤 Optional export Displayed in-session by default; export accepts md / mm (FreeMind, importable by XMind) / html (editor-style web report with light/dark theme) / all, written to deepread-output/ in the workspace
🎨 Browser UI deepread tool result card (four-color confidence legend, collapsible sections) + a 📖 shortcut button next to the input area that opens a card-style reading panel (link/path/text + mode/export selection + reading focus + one-click start)
🔀 Batch compare Pass 2-10 documents via batch (url/path/text each) to get per-document summaries plus a cross-document report: comparison matrix, conflicts, complementarity, and synthesis
📍 Citations Reports carry page/paragraph provenance: arguments, quotes, and a dedicated citation table locate claims back to 【第N页】 markers in the source
🧮 Cost preview estimate: true previews token spend, model-call count, and expected time per mode without calling the model (CJK≈0.6 tok/char heuristic; rate/latency defaults are picked per model family and can be overridden explicitly)
📚 Recently read The Web panel keeps a local history of recent reads with one-click re-read (localStorage, no server round-trip)
⏳ Progress transparency Long reads / big PDFs / batches become official background jobs: the label states segment count and budget; the progress stream pushes 「精读第 3/20 段…」 line by line; job_output polls progress and the final report, job_kill cancels
🔍 Parse progress Full PDF extraction moves inside the background job and streams per page — 「解析 PDF 中… 42%(10/24 页)」 — after a fast sampling preflight decides length (no more silent wait before the background job appears); batches stream per document — 「解析第 2/5 篇… / 精读第 2/5 篇… / 完成第 2/5 篇」 plus 「跨篇对比汇总中…」
🧮 Panel budget The Web panel shows per-mode token + time hints above the mode chips (e.g. 深度精读 (≈38k token · ≈8分钟)), instantly for pasted text; calibrated by real model speed; links/file paths are fetched and estimated by the Host through a same-origin API (POST /api/deepread/budget) and the panel's 🔍 budget-preflight button shows a one-line result (≈N chars · ≈X token · ≈Y min) right inside the panel — no chat round-trip, no table
⚡ Fast preflight estimate mode samples the first 2 PDF pages and extrapolates by page count, so big PDF budgets come back in milliseconds
🎯 Self-calibration Real token/s measured from every model call feeds a rolling average persisted in storage — estimates converge to your actual provider speed; cold-start defaults are per model family (DeepSeek/Kimi/Qwen ≈100-110 tok/s, Claude ≈70, GPT ≈90)

Five modes compared

Mode Best for Key output Cost
quick "What is this article about?" at a glance One-line summary, core claim, argument structure, quotes, key concepts, critical questions Single call, fastest
deep (default) Reading one article carefully Overview, core claim, argument structure (claim + evidence + verbatim quotes), argument flow, section highlights, quotes, key concepts, critical thinking Long articles are auto-split, section-by-section + summary
map Research, fact-checking before citing Core question & conclusion, ten content categories, claim-evidence pairing, key data table (five elements), eight relations, four confidence levels, Mermaid mindmap, XMind outline, active-recall questions Structured pipeline, multiple calls
feynman Truly learning it and teaching it to others 11-step loop: TOC → questions → per-chapter → claims/data/evidence → chapter mindmap → explain with the book closed → self-check gaps → correct against the source → merged mindmap → explain again → spaced review on days 1/3/7/14/30 Longest output, most calls
book Whole books / very long texts Table of contents, chapter flow, a full-book summary assembled from per-part deep reads Processed part by part

One-line picker: in a hurry, quick; read one article thoroughly, deep; cite and fact-check, map; learn and remember, feynman; a whole book, book.

Installation

DeepRead 1.0.1 requires Node.js 22.19 or 24 and higher (^22.19 || >=24). The same npm package exposes the TypeScript Host entry at lib/types/index.js, the dsh-TUI Community Consensus v0.15 manifest at dsh-plugin.json, and an optional DeepSeek Harness Web client at lib/client.js.

Host compatibility

Host Node deepread tool Web client Packaged skill Degraded behavior
DeepSeek Harness Web 0.1.2-rc.1 Supported Web UI loaded Available None
DeepSeek Harness headless 0.1.0-rc.7 Supported Web client not loaded Available No budget HTTP route
dsh-TUI 0.8.1 minimum / Community Consensus v0.15 Supported Web client not loaded Available No Web route or browser UI
Custom composition without storageDomain Supported Depends on Web services Available URL cache and Host calibration use in-process state

Before replacing 0.5.4, read the Upgrade and rollback guide, including the browser-origin and DSH_HOME retention conditions. The Release notes describe the compatibility and entry-point changes.

DeepSeek Harness (tool + Web UI, full functionality)

Requires pnpm on the machine (dsh plugin runs pnpm underneath to install plugins).

The unpinned command follows the npm latest tag. For the validated Harness Web 0.1.2-rc.1 baseline, pin DeepRead 1.0.1; keep DeepRead 1.0.0 on the older 0.1.0-rc.7 Web runtime. Check the current tags with npm view dsh-deepread dist-tags.

# npm latest tag
dsh plugin --profile web add dsh-deepread

# Exact npm version
dsh plugin --profile web add dsh-deepread@1.0.1

# Exact GitHub tag
dsh plugin --profile web add "github:xiehuan123/dsh-deepread#v1.0.1"

To remove DeepRead from the Web profile:

dsh plugin --profile web remove dsh-deepread

pnpm workspace-root compatibility

Some DSH releases create each profile as a pnpm workspace but forward add and remove without marking the workspace root explicitly. With affected pnpm versions, the command stops before any DeepRead code runs and reports ERR_PNPM_ADDING_TO_ROOT. Retry only that failed operation with -w (the pnpm shorthand for --workspace-root):

# Install after ERR_PNPM_ADDING_TO_ROOT
dsh plugin --profile web add -w dsh-deepread

# Remove after the same workspace-root error
dsh plugin --profile web remove -w dsh-deepread

This is a profile package-manager compatibility issue and can affect any DSH plugin installed into that profile. Do not delete pnpm caches or edit node_modules by hand; let dsh plugin update the profile manifest and bundle list.

Restart dsh web for it to take effect. A 📖 shortcut button appears next to the input area; click it to open the card-style reading panel. You can also just say: "Read this article in knowledge-map mode: ".

> Tip: fetching WeChat article URLs needs an HTTP provider. If you see "web fetch service unavailable" after install, mount @deepseek-ai/dsh-web-fetch-http in the profile's cordis.patch.yml and give it a browser User-Agent (WeChat serves an anti-bot verification page).

dsh-TUI (Host tool + skill)

dsh-TUI 0.8.1 or newer can install dsh-deepread@1.0.1 through the host's plugin installer. The installer reads the packaged dsh-plugin.json v0.15 manifest and loads lib/types/index.js; it does not load lib/client.js.

Codex / Claude Code (skill form, zero dependencies)

Install (pick one):

claude plugin install xiehuan123/dsh-deepread      # terminal command (Codex compatible)
/plugin install xiehuan123/dsh-deepread            # or the in-session slash command
npx skills@latest add xiehuan123/dsh-deepread      # or skills.sh

Usage (Codex / Claude Code):

  1. Trigger: say something containing "deep-read / analyze / knowledge map / Feynman", e.g.
    - Deep-read docs/architecture.md
    - Analyze this article in knowledge-map mode:
    - Read this book with the Feynman technique and give me a review plan
    - Quickly summarize this WeChat article: https://mp.weixin.qq.com/s/xxxx
  2. Mode: the agent picks a mode automatically (default deep); it asks when unsure.
  3. Input: file path / web link (WeChat articles are fetched directly; for anti-bot sites like Zhihu/Juejin, paste the text) / pasted text. PDFs work too (the agent extracts text per SKILL.md; scan-only PDFs should be OCR'd first).
  4. Output: a Markdown report in the conversation by default; say "export html / mindmap / md" and it writes to deepread-output/ in the workspace (.md report, .mm FreeMind mindmap [importable by XMind], .html web report).
  5. Knowledge-map mode: output carries four confidence levels (author intent / original facts & data / reasonable inference / unverifiable), and every claim is paired with evidence — the original text lacking evidence is explicitly marked "no evidence provided in the original text".
  6. Feynman mode: the full 11 steps (TOC → questions → per-chapter → claims/data/evidence → chapter mindmap → explain with the book closed → self-check gaps → correct against the source → merged mindmap → explain again → spaced review on days 1/3/7/14/30).

> Note: the Codex/Claude skill is the "methodology" form — the agent performs the analysis with its own tools; the DSH deepread is the "tool" form — the plugin runs the pipeline by calling the model directly. Output formats are identical and interchangeable (an exported .md/.html keeps working when handed to an agent on either host).

Examples

Please deep-read this link: https://mp.weixin.qq.com/s/xxxx
Read book.pdf in knowledge-map mode and export html
Quickly summarize this article:

Parameters

Parameter Type Description
url string Stable WeChat article link (mp.weixin.qq.com only; for anti-bot sites, paste the text)
path string Workspace file path (.txt/.md/.markdown/.html/.pdf)
text string Pasted text
depth enum quick / deep (default) / map / feynman / book
export enum none (default, in-session only) / md / mm / html / all
refresh boolean true forces a re-fetch and cache refresh (default false: a cached URL reuses the stored full text without network access)
focus string Reader's angle of interest, e.g. "argumentation logic", "research methodology"
language enum zh / en / auto (default)

Repository layout

├── package.json            # dsh.bundle + dsh.client + dsh.skills
├── cordis.patch.yml        # inserts itself into the composition
├── dsh-plugin.json         # dsh-TUI Community Consensus v0.15 Host-only manifest
├── src/index.ts            # TypeScript Cordis Host entry
├── src/host/**/*.ts        # Typed Host pipeline, optional services, storage, and exports
├── src/client/**/*.ts      # Typed client models, storage, store, views, and slot entry
├── tsdown.config.ts        # official lazy-CJS module build semantics for lib/client.js
├── lib/types/index.js      # generated Host runtime package entry
├── lib/client.js           # Client half (generated): __ModuleLoader__.load({ id, factory })
├── docs/                   # integration, upgrade/rollback, and release documentation
├── test/                   # Host, browser, compatibility, manifest, and package contracts
├── assets/                 # README and showcase visuals
├── skills/dsh-deepread/    # Codex / Claude Code compatible skill (SKILL.md + references + agents/openai.yaml)
├── plugin.json             # Agent Plugins-compatible root manifest
├── .claude-plugin/         # Claude Code plugin manifests (plugin.json + marketplace.json)
└── .codex-plugin/          # Codex plugin manifest (plugin.json)

The @deepseek-ai/* host packages (cordis / dsh-tools / schemastery / dsh-storage-domain) plus zod and react
are provided by the host profile and declared in peerDependencies (* means "follow the host version");
dsh.client.inject declares the client-side dependency edges (dsh-api-session-controller provides sessions,
dsh-client-ui-conversation provides conversation).

Full-text cache

Fetched article full texts are persisted following the official storageDomain convention: the
deepread_url_cache domain (version 1, zod-schema validated, records hold url/text/fetchedAt),
stored under $DSH_HOME/storages/ and surviving process restarts. Re-reading the same article in a
different mode (deep→map/feynman/book) reuses the cache without network access; when a fetch fails the
cache is used as a fallback and the report says so. Default TTL is 7 days with a cap of 200 entries
(expired entries are lazily removed on write). A composition that omits storageDomain degrades to
an in-process cache. webServer is optional: Web-capable profiles register the budget route, while
the stock headless profile activates the Host tool without that route or the browser client.

Plugin configuration (Config)

timeoutMs (default 900000), chunkChars (default 6000), maxParts (default 20),
maxInputChars (default 400000), cacheEnabled (default true), cacheTtlHours (default 168,
0 disables caching) can all be overridden in the cordis row, for example:

- insert:
- id: deepread
name: dsh-deepread
config:
timeoutMs: 600000
cacheTtlHours: 24

Development

Before maintaining the host integration, read the DeepSeek Harness plugin integration reference. It records profile loading, the Node/browser entry points, slot lifecycle, theme rules, and the diagnostic order.

npm run typecheck:host      # strict Host typecheck
npm run typecheck:browser   # strict browser typecheck
npm run build               # build lib/types and lib/client.js
npm test                    # full repository contract suite
npm pack --dry-run --json   # inspect the publishable file list and public entries

Community

  • Ask usage questions or share a reading workflow in GitHub Discussions.
  • Report a reproducible problem with the bug form.
  • Propose a focused improvement with the feature form.
  • Read CONTRIBUTING.md before opening a pull request.

For Chinese-language notes about AI tools, open-source projects, and practical workflows, follow Appoint 实验室 on WeChat:

If traceable AI reading is useful to you, star the repository to make it easier for the next reader to find and to follow future releases.

License

MIT

常见问题

8 问
答案由本站依据条目字段整理,不引用上游原文
dsh-deepread 怎么安装?

在 DSH 里执行 `dsh plugin --profile web add dsh-deepread@1.0.1` 即可。对应的 npm 包名是 `dsh-deepread`。

dsh-deepread 的验证等级是什么意思?

L4 · 沙盒安装通过。安装命令在隔离沙盒内真实执行成功,无依赖错误

dsh-deepread 安全吗?

低风险。vet 静态分析未发现可疑行为,判定为干净(clean)。

dsh-deepread 装之前要先确认什么?

先看它会读写哪些文件、执行哪些命令、连接哪些网络地址;验证等级只说明装得上、跑得起来,不等于安全。涉及密钥或系统权限的,建议先在隔离环境试装。

dsh-deepread 支持哪些 DSH 版本?

上游记录的兼容版本包括 0.1.7-rc.2、0.1.7-rc.1、0.1.6-alpha.2、0.1.6-alpha.1、0.1.5-rc.2、0.1.3-alpha.2、0.1.3-alpha.1、0.1.2-rc.1。版本较多,只列出前 8 个。

dsh-deepread 用的是什么许可证?

上游标注为 MIT。商用或二次分发前请到仓库确认许可证原文。

dsh-deepread 有哪些功能?

五种阅读模式、知识图谱生成、支持PDF与微信文章、批量对比分析、成本预估与导出。

这条记录的数据可靠吗?

本站按仓库名去重后合并整理,字段以作者仓库与 npm 元数据为准;安装命令、仓库地址与 README 保持原文,带 L4 / L5 标记的安装命令已在隔离沙盒里真实跑通。

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插件的元信息来自作者仓库;分类、验证等级与安全结论的中文说明为中文整理,最近核验 2026-10-08。