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wechat-article-summarize微信文章总结

Agent Skill

wechat-article-summarize 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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

6,365

周安装

260

GitHub Stars

1

下载量

2,038
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:wechat-article-summarize(微信文章总结)
来源仓库:https://github.com/juneliu1999/wechat-article-summarize
安装命令:
openclaw skills install wechat-article-summarize
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 wechat-article-summarize

简介

wechat-article-summarize 读取多篇微信文章并生成中文总结,附带图片链接。

  • 适用于批量内容分析与知识整理等效率型任务。
  • 通过 clawhub 安装并使用 openclaw skills install wechat-article-summarize 命令集成。
  • 使用前需确认权限范围,注意可能涉及多链接并发处理与文本清洗。
  • 建议结合原始 README 核实总结长度与图片保留策略。

SKILL.md

name
WeChat Article Summarize
description
Read one or more WeChat public account article links from mp.weixin.qq.com, extract cleaned full text and optional image links, summarize each article in Chinese with summarize, and generate a structured markdown file saved to a user-chosen directory. Use when the user shares WeChat article URLs and wants single-article notes, multi-article daily reports, article summaries, image extraction, or a structured markdown digest. Before processing, first confirm summarize is configured and working, ask whether to include images, and ask where to save the final file.

WeChat Article Summarize

把一个或多个微信公众号文章链接整理成结构化 markdown,支持单篇整理和多篇日报汇总。

功能简介

  • 读取一个或多个 mp.weixin.qq.com 文章链接
  • 抽取文章正文、标题、发布时间,以及可选的图片链接
  • 自动修复常见的微信正文乱码问题
  • 调用 summarize 用中文总结全文内容
  • 生成结构化 markdown 文件

- 单篇文章整理 - 多篇文章汇总 / 日报

  • 支持按日期 + 标题,或日期 + 篇数 + 汇总说明命名
  • 支持把文件保存到用户指定目录

使用前需要确认

在真正开始抓取文章之前,需要先确认:

  1. summarize 已经配置好 API key,并且可正常使用
  2. 是否需要在最终 markdown 中保留图片链接
  3. 最终文件保存到哪个目录

适用场景

  • 总结单篇微信文章
  • 把多篇微信文章汇总成一份日报
  • 输出适合继续阅读、归档或二次整理的 markdown 文件

Workflow

Step 0: Confirm prerequisites before fetching anything

Do not fetch article content until all three items are clear:

  1. summarize is ready

- Ask the user to configure summarize API access first if needed. - Verify summarize by running a tiny Chinese test. - Proceed only if summarize returns a usable summary.

  1. Image preference

- Ask whether the final markdown should include image links. - Map user intent to include_images=true|false.

  1. Output directory

- Ask where to save the final markdown file. - If the user says “下载文件夹”, use ~/Downloads. - Create the target directory if it does not exist.

If any of the three items is missing, stop and ask before continuing.

Step 1: Extract each WeChat article

For each mp.weixin.qq.com URL, run:

python3 scripts/read_wechat_article.py '<wechat_url>' --out '<temp_dir>'

This produces structured metadata, raw HTML, and a first-pass markdown export.

Step 2: Clean the body text

Do not trust the first-pass article markdown blindly.

If the body contains mojibake or obvious encoding corruption, repair it from raw.html by running:

python3 scripts/fix_wechat_body.py '<raw.html>' --out '<body-fixed.txt>'

Use the cleaned body text as the canonical input for summarization.

Step 3: Summarize in Chinese

Always summarize the cleaned local text, not the original WeChat URL.

Run:

python3 scripts/summarize_cn.py '<body-fixed.txt>' --out '<summary.json>' --length short

or for a combined report:

python3 scripts/summarize_cn.py '<combined-input.md>' --out '<summary.json>' --length medium

The script enforces Chinese output and fails if the returned summary is not sufficiently Chinese.

Step 4: Normalize summary text before writing markdown

Never write summarize output directly into the final file.

Normalize paragraph breaks and spacing with:

python3 scripts/normalize_markdown_text.py '<input.txt>' --out '<normalized.txt>'

Use this for:

  • each single-article summary
  • the combined daily-report overview

This prevents ugly line wrapping and mixed-language formatting artifacts.

Step 5: Build the final markdown

Single article

Run:

python3 scripts/build_mindmap_markdown.py \
  --result '<result.json>' \
  --body '<body-fixed.txt>' \
  --summary '<summary.json>' \
  --output-dir '<chosen-dir>' \
  --include-images true

Multiple articles / daily report

Run:

python3 scripts/build_batch_report.py \
  --inputs '<dir1>' '<dir2>' '<dir3>' \
  --output-dir '<chosen-dir>' \
  --include-images true \
  --report-label '微信文章日报'

The batch report must:

  1. summarize all articles individually
  2. summarize the full set as one combined overview
  3. place the combined overview first
  4. then append each single article section

Output rules

Naming

Single article

YYYYMMDD-文章标题.md

Multiple articles

YYYYMMDD-<总文章数量>篇-<汇总说明>.md

Content rules

Single article output should contain

  • title
  • source URL
  • publish time
  • summarize-generated Chinese summary
  • mindmap-style structure
  • optional image section

Batch report output should contain

  • combined daily overview at the top
  • combined mindmap
  • per-article title, URL, date, summary, and mindmap
  • optional image overview

Non-negotiable quality gates

Before writing the final markdown:

  1. Summary language check

- If the summary is not mainly Chinese, retry or fail.

  1. Paragraph normalization

- Collapse unnatural line breaks inside prose. - Keep markdown headings and bullet lists intact.

  1. Clean body source

- Prefer repaired text from raw.html when the extracted body is corrupted.

Bundled scripts

  • scripts/read_wechat_article.py — fetch WeChat article metadata, body, raw HTML, and image links
  • scripts/fix_wechat_body.py — repair mojibake and extract clean text from raw HTML
  • scripts/summarize_cn.py — run summarize in Chinese and enforce a language check
  • scripts/normalize_markdown_text.py — normalize prose paragraphs and line breaks
  • scripts/build_mindmap_markdown.py — generate single-article markdown files
  • scripts/build_batch_report.py — generate multi-article combined reports
  • scripts/run_wechat_mindmap_workflow.py — orchestrate the full workflow end to end after the required user confirmations

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

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按下载量换算1,870

安全审计

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敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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