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weread-assitant韦拉德助理

Agent Skill

weread-assitant 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,546

周安装

102

GitHub Stars

公开资料未说明

下载量

824
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:weread-assitant(韦拉德助理)
来源仓库:https://github.com/mingchaoxu/weread-assitant
安装命令:
openclaw skills install weread-assitant
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install weread-assitant

简介

用于 WeRead 读书数据的 Markdown 整理。

  • 同步书架进度笔记等内容到本地。weread-assitant 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 支持 Obsidian 阅读文件夹导出格式。
  • 需要 Chrome 会话登录状态授权。
  • 适用于电子书阅读和知识管理场景。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
weread-obsidian
description
Sync WeRead shelf state, reading progress, visible book content, and note-ready Markdown into a local workspace using the user's logged-in Chrome session. Use when the user wants to inspect WeRead bookshelf status, capture book metadata or text for a specific book, or prepare WeRead material for Obsidian, Feishu, or OpenClaw note workflows.

WeRead Obsidian Skill

Use this skill when the user wants a bridge between WeRead and their note workflow.

What this skill does

  • Pulls shelf-level data from https://weread.qq.com/web/shelf through the user's existing Chrome login session
  • Captures a single book's page state and visible reading content into JSON
  • Exports Markdown files that are easy for Obsidian, Feishu bots, or OpenClaw to consume
  • Supports chat-friendly shortcuts for syncing by book title and appending polished reflections back into the matching Obsidian note
  • Uses a least-privilege default: visible DOM only, no browser storage dump, and Obsidian writes only through obsidian-cli

Preconditions

  1. The user must already be logged into WeRead in Chrome.
  2. Chrome remote debugging must be enabled at chrome://inspect/#remote-debugging.
  3. The local CDP proxy from the web-access skill must be available on http://localhost:3456.

Workflow

  1. Pull the bookshelf snapshot:
node scripts/fetch-shelf.mjs

This writes output/weread/shelf.json.

  1. Capture one book:
node scripts/fetch-book.mjs --book-url "https://weread.qq.com/..."

This writes output/weread/books/<slug>.json.

  1. Export Markdown for note-taking:
node scripts/export-obsidian.mjs --shelf output/weread/shelf.json --book output/weread/books/<slug>.json

This writes Markdown under output/obsidian/.

  1. Publish Markdown into Obsidian through obsidian-cli:
node scripts/publish-obsidian.mjs --dir output/obsidian

This writes notes into the default vault configured in obsidian-cli, or the vault passed with --vault.

Shortcut commands

When the user gives a book title and wants the note synced end to end, prefer:

node scripts/sync-book-by-title.mjs --title "书名" --vault claw_notes

This refreshes the shelf snapshot, resolves the closest matching book title, fetches that book, exports Markdown, and publishes the book note into Obsidian.

When the user wants to add reading reflections to an existing book note, first polish the user's rough wording into concise note prose, then write it back with:

node scripts/add-book-reflection.mjs --title "书名" --reflection "润色后的读后感" --vault claw_notes

This stores the reflection as sidecar data under output/weread/reflections/, re-renders the book Markdown, and republishes the note so later syncs do not wipe the reflection section.

Natural-language triggers

  • If the user says “同步《书名》笔记”, “把这本书同步到 Obsidian”, or “按书名抓这本书”, use sync-book-by-title.mjs.
  • If the user says “帮我给这本书加一段读后感”, “润色后写回 Obsidian”, or “把这些感想整理进笔记”, rewrite the reflection first, then use add-book-reflection.mjs.
  • If the requested book has not been synced yet, run the title-based sync first, then append the reflection.

Installability

This repository is structured as a self-contained skill repo.

  • Install the repository root as the skill source.
  • Runtime commands should call files in scripts/ directly.
  • The repo-root package.json only provides local developer aliases and is not required by the skill logic itself.

Operating guidance

  • Default to shelf sync plus one-book content sync. Do not bulk-export every book's full text unless the user explicitly asks and understands the risk.
  • Prefer using a real book URL captured from the shelf or copied from the browser instead of guessing a reader URL pattern.
  • For title-based sync, prefer exact title matches first; if matching is ambiguous, surface the top candidates before taking action.
  • The content capture is intentionally conservative: it records visible or scroll-loaded text from a single page flow so the downstream note system can summarize, annotate, and ask follow-up questions.
  • Do not collect cookies, browser storage, or unrelated local application config.
  • If WeRead changes its DOM, inspect the saved JSON first; the scripts already preserve raw page clues for follow-up repairs.

Outputs

  • output/weread/shelf.json: bookshelf snapshot, candidate book links, storage hints, page diagnostics
  • output/weread/shelf.json: bookshelf snapshot and page diagnostics from visible DOM
  • output/weread/books/*.json: per-book metadata, visible content, notes/highlights candidates, diagnostics
  • output/weread/reflections/*.json: user-authored or polished reflections that should survive future exports
  • output/obsidian/*.md: Markdown notes ready for vault ingestion or LLM conversation
  • Obsidian vault notes: created through obsidian-cli create --overwrite

Downstream use

  • Obsidian can ingest the Markdown files directly.
  • If obsidian-cli is available, publish the generated Markdown into the vault and let OpenClaw continue working from vault notes instead of raw export files.
  • Feishu or OpenClaw can read the generated Markdown or JSON and turn it into prompts, summaries, or reading-note conversations.
  • The recommended pattern is: sync data locally first, then let the downstream agent reason over files instead of talking to WeRead live on every request.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

80.74%
按下载量换算665

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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