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在 OpenClaw 中安装
/install youtube-video-analyzer
功能描述
Analyze YouTube videos by synchronizing transcript text with visual frames to produce detailed summaries, step-by-step guides, and content understanding.
安全使用建议
This skill appears to legitimately implement video download, transcript extraction, and frame capture — those parts are coherent. The main risk is the unspecified image-analysis step: before installing, confirm where and how the extracted frames will be processed. Ask the publisher or inspect the full SKILL.md for any commands or API calls that would upload images or send data to external endpoints. Also verify what 'uv' install means in your environment and ensure yt-dlp will be fetched from a trusted package source. If you plan to analyze private or sensitive videos, run the skill in a restricted environment (sandbox), limit how many frames are saved, and ensure that your agent or any invoked tooling is not configured to forward files to third parties. If you need higher assurance, request the skill author provide the missing analysis code or a clear statement of which image-analysis services (if any) will be used.
功能分析
Type: OpenClaw Skill
Name: youtube-video-analyzer
Version: 1.0.0
The OpenClaw skill bundle `youtube-video-analyzer` is designed for multimodal YouTube video analysis. It utilizes standard and legitimate tools like `yt-dlp`, `ffmpeg`, `ffprobe`, `curl`, and `python3` to download videos, extract transcripts, and process frames. All shell commands and Python scripts are directly related to the stated purpose of video analysis and temporary file management. While the `SKILL.md` suggests using `yt-dlp --cookies-from-browser` as a troubleshooting step for age-restricted videos, this is a legitimate feature of `yt-dlp` for users to access content they have rights to, and there is no evidence of malicious intent to steal or exfiltrate credentials. The instructions for the AI agent are detailed and task-oriented, without any signs of prompt injection for harmful objectives.
能力评估
Purpose & Capability
The name/description align with the requested binaries and the declared install of yt-dlp. ffmpeg, python3, curl and yt-dlp are exactly what you'd expect for downloading videos, extracting transcripts, and producing frames.
Instruction Scope
The SKILL.md provides concrete, low-level steps for metadata retrieval, subtitle extraction, video download, and frame extraction — all scoped to the stated purpose. However the critical 'Multimodal analysis' step is vague: it says 'Read each frame image, combine with transcript, Generate structured output' but does not specify how or where images are analyzed. That vagueness gives an agent broad discretion, which could lead to unexpected actions such as calling external image-analysis APIs or uploading frames to third-party endpoints.
Install Mechanism
The install spec installs yt-dlp via an installer kind labeled 'uv'. yt-dlp itself is an expected package for this use case, but the installer kind 'uv' is nonstandard/ambiguous in the provided metadata. If 'uv' maps to a known, audited package source in your environment this is low risk; if it downloads code from an untrusted host, it would be higher risk. No direct remote-download-from-arbitrary-URL pattern was found.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not ask for unrelated secrets or system config access, which is proportionate to its stated purpose.
Persistence & Privilege
always:false and default invocation settings are used. The skill does not request persistent system-wide privileges or modifications to other skills. It writes temporary files only to a per-run temp directory.
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 youtube-video-analyzer - 安装完成后，直接呼叫该 Skill 的名称或使用
/youtube-video-analyzer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
YouTube Video Analyzer 1.0.0 — Initial Release
- Introduces a multimodal YouTube video analyzer that processes both audio (transcripts) and visual (frame extraction and analysis) channels.
- Synchronizes key video frames with spoken transcript segments for precise, step-by-step understanding of tutorials, demos, and HowTo videos.
- Supports automatic subtitle extraction (preferred language, fallback to auto-captions) and robust frame extraction strategies based on video length and content.
- Produces structured outputs including guides, summaries, and visual-text syntheses (e.g., “what is shown vs. what is said”) to highlight critical on-screen actions, UI elements, or physical demonstrations.
- Designed for use with tutorial, educational, and explainer videos where visual context is as important as spoken instructions.
元数据
常见问题
Youtube Video Analyzer 是什么？
Analyze YouTube videos by synchronizing transcript text with visual frames to produce detailed summaries, step-by-step guides, and content understanding. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1200 次。
如何安装 Youtube Video Analyzer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install youtube-video-analyzer」即可一键安装，无需额外配置。
Youtube Video Analyzer 是免费的吗？
是的，Youtube Video Analyzer 完全免费（开源免费），可自由下载、安装和使用。
Youtube Video Analyzer 支持哪些平台？
Youtube Video Analyzer 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（linux, macos）。
谁开发了 Youtube Video Analyzer？
由 sdrabent（@sdrabent）开发并维护，当前版本 v1.0.0。
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