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小红书视频深度总结

Name: 小红书视频深度总结
Author: songxianqun

作者 songxianqun · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install xhs-video-summary

功能描述

一键分析小红书视频链接，提取文案、转录语音并深度总结视频内容。当用户提供小红书链接并要求“总结、分析、提取视频”时触发此技能。

使用说明 (SKILL.md)

小红书视频深度总结 (xhs-video-summary)

技能说明

这个技能组合了无水印视频提取、音频分离、AI语音转录和深度文本总结，实现小红书视频的一键分析。支持 Windows / macOS / Linux 跨平台运行。

工作流

当用户提供小红书视频链接时，请按照以下步骤执行：

执行自动化脚本：运行封装好的 Python 脚本，传入用户提供的 URL。
```
python skills/xhs-video-summary/scripts/run.py "\x3Cxhs_url>"
```
注意：这可能需要 1-2 分钟时间，请在执行时向用户说明正在后台处理。
读取产物：脚本执行完成后，读取提取出的元数据和语音转录稿：
- 元数据：xhs_meta.json (包含标题、描述、点赞等数据)
- 逐字稿：xhs_temp.txt (视频内的所有语音文字)
分析与输出总结：根据读取到的数据，给用户输出一份结构化的深度总结，必须包含以下模块：
- 🎬 视频基础信息 (标题、作者、互动数据)
- 💡 视频主题 (一句话概括核心话题)
- 📝 详细内容拆解 (按逻辑或知识点拆解详细内容)
- 🛠 实用价值 (对观众的具体帮助)
- 💎 关键金句 (原话摘录 2-3 句)
清理临时文件：读取完成后，务必清理临时产物文件：
```
rm xhs_temp.mp4 xhs_temp.mp3 xhs_temp.txt xhs_meta.json
```
(Windows 系统下请使用 del /f xhs_temp.mp4 xhs_temp.mp3 xhs_temp.txt xhs_meta.json)

依赖要求

xiaohongshu-extract (需通过 clawhub 安装)
curl (用于下载视频)
ffmpeg (用于提取音频)
openai-whisper (用于本地语音识别)

安全使用建议

Before installing, make sure the required tools and the separate `xiaohongshu-extract` skill come from trusted sources. Run the skill in a safe working directory because it downloads media and creates/deletes fixed temporary files.

功能分析

Type: OpenClaw Skill Name: xhs-video-summary Version: 1.0.0 The skill is designed to summarize Xiaohongshu videos by extracting metadata, downloading the video, and transcribing audio. The implementation in `scripts/run.py` uses safe subprocess calls (list-based arguments) to invoke `curl`, `ffmpeg`, and `whisper`. The workflow described in `SKILL.md` is consistent with the code logic, and there are no indicators of data exfiltration, malicious prompt injection, or unauthorized system access.

能力评估

✓ Purpose & Capability

The stated purpose in SKILL.md is to extract Xiaohongshu video metadata, transcribe audio, and summarize it; scripts/run.py implements that same workflow with metadata extraction, video download, audio extraction, and Whisper transcription.

✓ Instruction Scope

The skill is scoped to cases where the user provides a Xiaohongshu link and asks for summarization, analysis, or extraction; no artifact asks the agent to override user intent or ignore safety boundaries.

ℹ Install Mechanism

SKILL.md lists required local binaries and a separate `xiaohongshu-extract` dependency, while the registry has no install spec; the dependency is disclosed but its code is outside this artifact set.

ℹ Credentials

The script uses local command-line tools and writes fixed temporary outputs such as `xhs_temp.mp4`, `xhs_temp.mp3`, `xhs_temp.txt`, and `xhs_meta.json`; this is proportionate for video processing but has local disk and compute side effects.

ℹ Persistence & Privilege

No credentials, background service, or long-term persistence are shown, but temporary video/audio/transcript files may remain if processing or cleanup is interrupted.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install xhs-video-summary
安装完成后，直接呼叫该 Skill 的名称或使用 /xhs-video-summary 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

xhs-video-summary 1.0.0 - Initial release of the 小红书视频深度总结 skill. - Supports one-click extraction, transcription, and deep summarization of Xiaohongshu video links. - Provides structured output including video info, theme, content breakdown, practical value, and highlight quotes. - Automates video/audio extraction, AI speech-to-text, and detailed content analysis. - Includes support for necessary dependencies and automated file cleanup after processing.

元数据

Slug xhs-video-summary

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题