YouTube Watcher

低风险
作者:Michaelgathara | 审计时间:2026-02-26T09:59:20.936Z | 规则集:0.2.0

快速安装

将技能安装到你的 Agent

clawhub install youtube-watcher

技能介绍

Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.

Task automation
Data processing
API integration
Error handling

使用场景

1 Workflow automation
2 Data transformation
3 System integration

文档(原文)

来源:SKILL.md
以下为作者原文(通常为英文)。安装请以页面顶部“快速安装”为准。

name: youtube-watcher
description: Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.
author: michael gathara
version: 1.0.0
triggers:

  • "watch youtube"
  • "summarize video"
  • "video transcript"
  • "youtube summary"
  • "analyze video"
    metadata: {"clawdbot":{"emoji":"📺","requires":{"bins":["yt-dlp"]},"install":[{"id":"brew","kind":"brew","formula":"yt-dlp","bins":["yt-dlp"],"label":"Install yt-dlp (brew)"},{"id":"pip","kind":"pip","package":"yt-dlp","bins":["yt-dlp"],"label":"Install yt-dlp (pip)"}]}}

YouTube Watcher

Fetch transcripts from YouTube videos to enable summarization, QA, and content extraction.

Usage

Get Transcript

Retrieve the text transcript of a video.

python3 {baseDir}/scripts/get_transcript.py "https://www.youtube.com/watch?v=VIDEO_ID"

Examples

Summarize a video:

  1. Get the transcript:
    python3 {baseDir}/scripts/get_transcript.py "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
    
  2. Read the output and summarize it for the user.

Find specific information:

  1. Get the transcript.
  2. Search the text for keywords or answer the user's question based on the content.

Notes

  • Requires yt-dlp to be installed and available in the PATH.
  • Works with videos that have closed captions (CC) or auto-generated subtitles.
  • If a video has no subtitles, the script will fail with an error message.

安全审计

低风险

摘要

Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.

风险画像 危险 隐私 范围 声誉 质量

ToxicSkills 分析

黑名单
未命中
提示词注入
未检测到

Toxic 标签

malware

当前静态检测未发现 Toxic 信号。

关键风险 0 项

暂无 LLM 风险要点(LLM 未启用或无缓存)。

确定性发现(证据)

规则 严重性 文件 片段
PROC_EXEC skills/Michaelgathara/youtube-watcher/scripts/get_transcript.py 行 52
subprocess.run(cmd, cwd=temp_dir, check=True, capture_output=True)

评分标准

每个技能从 5 个维度评分,加权总分决定星级。

代码毒性 78/100 (权重 30%)
隐私风险 100/100 (权重 25%)
权限范围 90/100 (权重 20%)
作者声誉 75/100 (权重 15%)
代码质量 70/100 (权重 10%)

星级说明

5★ 安全 — 总分 ≥ 80
4★ 良好 — 总分 70–79
3★ 注意 — 总分 60–69
2★ 有风险 — 总分 40–59
1★ 危险 — 总分 < 40

为何是这个评分?

所有维度均高于 60 分,该技能通过安全基线。

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