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DuckWuDuckWu/xhs-claude-skills/skills/xhs-batch/SKILL.md

xhs-batch

Skill5 starsChanged 6 months agoMITView on GitHub

批量提取小红书帖子，整理为本地 Markdown 知识库

1 other project uses a version of this, 1 of them edited.

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  • Other versions1 project uses a version of this.

    Word for word · 0

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    Edited · 1

    1. chenxiachan/xhs-claude-skills★ 41987% same

    Wrote their own version · 0

    None found.

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository4 other files it gives its agents.

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Files
SKILL.md

用户希望批量提取多个小红书帖子。请按以下步骤处理：

常量定义

  • Cookies 文件: ~/cookies.json
  • Obsidian 保存目录: ~/Documents/Obsidian Vault/xhs
    • 若路径不存在，自动检测 Obsidian vault 位置
    • Windows 用户常见路径: ~/Documents/Obsidian/ 或自定义位置，请按实际情况修改
  • Whisper 模型:
    • macOS: mlx-community/whisper-large-v3-turbo（使用 mlx-whisper）
    • Windows/Linux: large-v3（使用 openai-whisper）

输入

用户提供的链接列表: $ARGUMENTS

流程

步骤 1：解析链接

从输入中提取所有小红书链接（支持多行、空格分隔、逗号分隔）。 每个链接提取帖子 ID 和 xsec_token。

步骤 2：检查 Cookies

检查 ~/cookies.json 是否存在。如不存在，按 /xhs 的步骤 0 引导用户导出。

步骤 3：逐个提取

对每个链接，执行 /xhs 的完整提取流程（步骤 2-4）：

  • 请求页面 → 解析 INITIAL_STATE
  • 视频帖子做语音转录
  • 按 Peter Thiel 风格整理
  • 保存为 {YYYY-MM-DD} {短标题}.md

每个帖子之间间隔 3 秒，避免触发反爬。

步骤 4：汇总报告

全部完成后，输出简短汇总：

  • 成功/失败数量
  • 每个帖子的文件名和一句话摘要

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