A multimodal tool that analyzes video frames and audio to generate comprehensive, structured Chinese reports.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install universal-video-analyzer-zh
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install universal-video-analyzer-zh using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Universal Video Analyzer (Chinese) is a professional-grade tool designed for deep video interpretation using advanced multimodal LLMs. It combines visual keyframe analysis with Whisper-based speech-to-text transcription to provide a dual-track understanding of video content. By leveraging this tool within Openclaw Skills, developers and researchers can transform raw video files into highly organized insights, covering visual scene descriptions and complete audio transcripts, all delivered in formatted Chinese reports.
Install the required Python dependencies:
pip install requests openai-whisper torch tenacity Pillow python-dotenv
Ensure FFmpeg is installed on your system:
brew install ffmpegwinget install Gyan.FFmpegsudo apt install ffmpegSet the mandatory environment variable for the model provider:
export VIDEO_ANALYZER_API_KEY="your_multimodal_api_key"
You can optionally configure VIDEO_ANALYZER_MODEL and VIDEO_ANALYZER_BASE_URL to use Doubao, Zhipu GLM, or Qwen VL.
The skill organizes its output locally to ensure privacy and accessibility:
| Output Type | Format | Description |
|---|---|---|
| Markdown Report | {VideoName}_分析报告.md |
Structured text report including core highlights and scenes. |
| HTML Report | {VideoName}_分析报告.html |
Visual report with embedded keyframes and formatted transcription. |
| Keyframe Folder | {VideoName}_frames/ |
Directory containing all individual images extracted from the video. |
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