Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add L-LesterYu/OpenClaw-hot-skills-zh --skill youtube-watcher-zhgit clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zhWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/youtube-watcher-zh)<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/youtube-watcher-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/youtube-watcher-zh/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/youtube-watcher-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/youtube-watcher-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.01711 |
| Opus 5.5 | $0.00013 | $0.00684 |
| Sonnet 5.5 | $0.00007 | $0.00342 |
| Haiku 4.5 | $0.00003 | $0.00171 |
Grade B, and why
youtube-watcher-zh scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt install yt-dlp How it starts
The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube 字幕提取器
通过 yt-dlp 提取 YouTube 视频字幕并进行内容分析
🎯 功能特性
- 📝 字幕提取 - 从 YouTube 视频中提取带时间戳的字幕
- 🎬 内容分析 - 基于字幕进行视频内容摘要
- ❓ 问答支持 - 根据字幕内容回答问题
- 🔍 内容搜索 - 在字幕内容中搜索特定信息
- 📊 统计分析 - 分析字幕的词汇、主题等统计信息
🚀 快速开始
1. 安装依赖
确保安装了 yt-dlp：
# Ubuntu/Debian
sudo apt install yt-dlp
# macOS (使用 Homebrew)
brew install yt-dlp
# 或通过 pip 安装
pip install yt-dlp
2. 基本使用
提取视频字幕：
# 提取单个视频字幕
yt-dlp --write-subs --sub-format "srt" "https://www.youtube.com/watch?v=VIDEO_ID"
📝 使用方法
提取字幕
# 提取字幕并保存为 SRT 格式
yt-dlp --write-subs --sub-format "srt" --sub-lang "en,zh" "YOUTUBE_URL"
# 提取字幕并包含自动生成的字幕
yt-dlp --write-subs --sub-format "srt" --sub-lang "en,zh,en-auto" "YOUTUBE_URL"
字幕格式支持
- SRT - 标准字幕格式
- VTT - WebVTT 字幕格式
- ASS/SSA - 高级字幕格式
- JSON - 原始 JSON 数据
🔍 内容分析
视频摘要
基于字幕内容生成视频摘要：
# 提取关键字和主题
# 通过文本分析工具处理字幕内容
内容问答
根据字幕内容回答问题：
# 示例问题
"这个视频主要讲了什么？"
"视频中提到了哪些关键概念？"
"视频的主要内容分为哪几个部分？"
内容搜索
在字幕中搜索特定内容：
# 搜索关键词
grep "关键词" video.srt
# 使用文本搜索工具
find "搜索词" in video.srt
⚙️ 配置选项
yt-dlp 参数
| 参数 | 描述 |
|---|---|
--write-subs |
写入字幕文件 |
--sub-format "srt" |
字幕格式 |
--sub-lang "en,zh" |
字幕语言 |
--sub-lang "en-auto" |
自动生成的英文字幕 |
--no-playlist |
不提取播放列表 |
--no-mtime |
不修改文件时间戳 |
输出格式
# 输出文件命名规则
视频标题.语言.srt
视频标题.语言.vtt
视频标题.语言.json
📊 字幕处理
字幕清理
- 去除重复条目
- 时间戳标准化
- 文本格式化
- 语言检测
内容分析
- 词汇统计 - 计算词频、关键词
- 主题提取 - 识别主要讨论话题
- 情感分析 - 分析内容的情感倾向
- 结构分析 - 识别内容结构和逻辑
🎬 实际应用
1. 视频研究
# 提取教育视频的主要观点
# 分析演讲者的主要论点
# 识别技术视频的关键步骤
2. 内容创作
# 基于字幕创建文章摘要
# 生成视频内容的文字版本
# 创建视频内容的索引目录
3. 学习辅助
# 将视频内容转换为文字笔记
# 创建视频内容的问答集
# 生成视频内容的思维导图
📁 文件管理
存储结构
workspace/
├── videos/
│ ├── [视频ID]/
│ │ ├── video.srt # 字幕文件
│ │ ├── video.vtt # WebVTT 格式
│ │ ├── video.json # 原始数据
│ │ └── summary.txt # 内容摘要
└── processed/
├── transcripts/ # 处理后的字幕
├── summaries/ # 视频摘要
└── analysis/ # 内容分析
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 276 lines · 33 tokens per session scan B 12565c76196a
youtube-watcher-zh is a skill published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (57 stars, last pushed 6mo ago), licensed MIT. It adds 33 tokens to every session and 1,711 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
youtube-summarizer
Extract transcripts from YouTube videos and generate comprehensive, detailed summaries using intelligent analysis frameworks.
youtube-summarizer
Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.
youtube-summarizer
Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.
youtube-transcribe
Transcribe YouTube videos and playlists. Extract audio to text with visual context, generate summaries and detailed notes.
stitch
Play stills, dialogue, music, and video as one sequence in the browser with the stitch command. Use when the user runs /stitch, or asks to stitch, preview, or play a cut from local or remote (http(s) URL) image, audio, and video files.
youtube
Use whenever the user mentions YouTube, video uploads, channel management, playlists, video SEO, or any YouTube Data API operation. Manages videos, playlists, comments, captions, subscriptions, thumbnails, analytics, and more.