video-vision

分类: 内容与多媒体 | 上传者: maim010 | 下载: 0 | 版本: v1.0（最新）

Crawl YouTube, Bilibili and other video platforms, extract key frames, and summarize visual content using vision AI models. Supports proxy IPs and account cookies for authenticated access.

更新日志: Source: GitHub https://github.com/maim010/openclaw-video-vision

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📁 .github/
- 📁 workflows/
  - 📄 docs.yml 858 B
📁 docs/
- 📁 .vitepress/
  - 📄 config.mjs 2.6 KB
- 📁 zh/
  - 📄 architecture.md 3.4 KB
  - 📄 cloud-browsers.md 1.9 KB
  - 📄 configuration.md 2.6 KB
  - 📄 cookies.md 1.8 KB
  - 📄 extraction-modes.md 2.1 KB
  - 📄 index.md 1.9 KB
  - 📄 installation.md 1.9 KB
  - 📄 troubleshooting.md 3.3 KB
- 📄 architecture.md 3.5 KB
- 📄 cloud-browsers.md 1.9 KB
- 📄 configuration.md 2.6 KB
- 📄 cookies.md 1.8 KB
- 📄 extraction-modes.md 2.2 KB
- 📄 index.md 1.9 KB
- 📄 installation.md 1.9 KB
- 📄 troubleshooting.md 3.3 KB
📁 examples/
- 📄 bilibili_example.js 818 B
- 📄 youtube_example.js 735 B
📁 src/
- 📄 index.js 24.4 KB
📄 .gitignore 292 B
📄 CONTRIBUTING.md 1.7 KB
📄 LICENSE 1.0 KB
📄 package-lock.json 86.4 KB
📄 package.json 1.3 KB
📄 README.md 7.7 KB
📄 README_CN.md 7.5 KB
📄 SKILL.md 5.3 KB

SKILL.md

---
name: video-vision
description: Crawl YouTube, Bilibili and other video platforms, extract key frames, and summarize visual content using vision AI models. Supports proxy IPs and account cookies for authenticated access.
---

# video-vision — Video Frame Extraction & AI Summarization Skill

This skill enables OpenClaw to browse video platforms (YouTube, Bilibili, and others),
extract key frames from videos, and use vision AI models to generate summaries of video content.

## When to Use This Skill

Use this skill when the user asks to:
- Summarize a YouTube or Bilibili video without watching it
- Extract visual highlights or key moments from a video
- Understand what a video contains based on its visual content
- Analyze a series of videos on a topic
- Process authenticated/private video content using cookies

## Capabilities

### Supported Platforms
- **YouTube** (youtube.com, youtu.be)
- **Bilibili** (bilibili.com, b23.tv)
- **Generic video pages** (any page with an embeddable or downloadable video)

### Core Features
1. **yt-dlp integration** — preferred path for extracting video URLs without a browser
2. **Browser-based crawling** via Playwright (Chromium headless, local or cloud)
3. **Frame extraction** using FFmpeg — configurable interval (e.g., 1 frame every 5s)
4. **Vision AI summarization** — sends frames to a configurable vision model endpoint (any OpenAI-compatible API)
5. **Proxy support** — HTTP/HTTPS/SOCKS5 proxies configurable per-request
6. **Cookie injection** — supports Netscape/JSON format cookie files for authenticated sessions
7. **Cloud browser support** — Browserless, Browserbase, Steel for environments without local Chromium

---

## How to Use

### Basic Video Summary

Tell OpenClaw:
> "Summarize this YouTube video: https://youtube.com/watch?v=XXXXX"

Or:
> "What is this Bilibili video about? https://www.bilibili.com/video/BVXXXXX"

OpenClaw will:
1. Try yt-dlp to get video metadata and direct URL
2. Extract frames at regular intervals via FFmpeg
3. If yt-dlp fails, fall back to Playwright browser
4. Send frames to the vision model
5. Return a structured summary with timestamps

### With Proxy

> "Summarize this video using proxy 127.0.0.1:7890"

### With Cookies (Authenticated Content)

> "Summarize this private Bilibili video, use my cookies file at ~/bilibili_cookies.json"

Cookie files must be in **Netscape** format or **JSON** (array of `{name, value, domain, path}` objects).

---

## Configuration

Set these environment variables or configure via `~/.openclaw/openclaw.json`:

```json
{
  "skills": {
    "entries": {
      "video-vision": {
        "enabled": true,
        "env": {
          "VIDEO_VISION_API_KEY": "sk-...",
          "VIDEO_VISION_MODEL": "gpt-4o"
        }
      }
    }
  }
}
```

### Environment Variables

| Variable | Default | Description |
|---|---|---|
| `VIDEO_VISION_API_KEY` | *required* | Vision model API key |
| `VIDEO_VISION_API_URL` | OpenAI endpoint | Custom vision API endpoint |
| `VIDEO_VISION_MODEL` | `gpt-4o` | Vision model to use |
| `VIDEO_VISION_MODE` | `auto` | `auto` / `ytdlp` / `browser` |
| `VIDEO_VISION_PROXY` | none | Default HTTP/SOCKS5 proxy |
| `VIDEO_VISION_FRAME_INTERVAL` | `5` | Seconds between extracted frames |
| `VIDEO_VISION_MAX_FRAMES` | `20` | Max frames per video |
| `VIDEO_VISION_COOKIES_DIR` | none | Directory with per-domain cookie files |
| `VIDEO_VISION_BROWSER` | `local` | `local` / `browserless` / `browserbase` / `steel` |

---

## Output Format

The skill returns a structured summary like:

```
Video Summary: [Title]
Platform: YouTube | Duration: 12:34
Frames analyzed: 18

Summary:
This video covers [main topic]...

Key Moments:
- 0:30 — [description of what's visible]
- 2:15 — [description]
- 5:00 — [description]

Topics detected: [tag1], [tag2], [tag3]
```

---

## Edge Cases

- **Age-restricted content**: Provide cookies with a logged-in session to bypass age gates.
- **Geo-blocked content**: Configure a proxy in the appropriate region.
- **Very long videos**: The skill automatically samples frames evenly across the duration, capped at `VIDEO_VISION_MAX_FRAMES`.
- **Live streams**: Only the currently buffered segment is analyzed; live streams are flagged in output.
- **Unavailable videos**: Returns a clear error message with the reason (private, deleted, region-blocked).
- **Android / PRoot / Termux**: Playwright unavailable — set `VIDEO_VISION_MODE=ytdlp` to use yt-dlp + FFmpeg only.

---

## Installation

```bash
git clone https://github.com/maim010/openclaw-video-vision.git ~/.openclaw/workspace/skills/video-vision
cd ~/.openclaw/workspace/skills/video-vision
npm install

# Recommended: install yt-dlp and ffmpeg
# macOS: brew install yt-dlp ffmpeg
# Linux: apt install ffmpeg && pip install yt-dlp

# (Optional) Install Chromium for browser mode
npx playwright-core install chromium
```

Then add to `~/.openclaw/openclaw.json`:

```json
{
  "skills": {
    "entries": {
      "video-vision": {
        "enabled": true
      }
    }
  }
}
```

---

## Privacy & Security

- Videos are processed locally; frames are only sent to the configured vision API endpoint.
- Cookies are read from local files and never stored or transmitted beyond the target platform.
- Proxy credentials (if any) are kept in environment variables and not logged.
- No video data is cached to disk beyond the current session unless explicitly configured.

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video-vision

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