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by keepongo · Agent Tool · ★ 74
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中文文档 Multi-Video-Summarizer An AI agent skill that extracts subtitles/transcripts from video platforms and generates structured summary notes with keyframe screenshots. Works with Cursor and Claude Code. Supported Platforms Features Multi-platform subtitle extraction with automatic platform detection 3-layer fallback: platform API → yt-dlp subtitles → Whisper speech recognition Cookie-free for major platforms: Bilibili, Douyin, and Xiaohongshu all work without login or cookies Keyframe screenshots: automatically extracts video frames and embeds them in summaries Caching: extracted results are cached locally to avoid redundant downloads BibiGPT-style output: structured markdown notes with sect
| Stars | 74 |
| Forks | 10 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 70.0470438930322/100 |
| Open Issues | 1 |
| Last Updated | 2026-02-25 |
| Created | 2026-02-25 |
| Platforms | claude-code, python |
| Est. Tokens | ~5k |
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video-summarizer is An AI agent skill that extracts subtitles/transcripts from video platforms and generates structured summary notes with keyframe screenshots. Works with **Cursor** and **Claude Code**.. It is categorized as a Agent Tool with 74 GitHub stars.
video-summarizer is primarily written in Python.
You can find installation instructions and usage details in the video-summarizer GitHub repository at github.com/keepongo/video-summarizer. The project has 74 stars and 10 forks, indicating an active community.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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