No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by QiYongchuan · Claude Skill · ★ 167
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Video Chapter Splitter v2.0 基于字幕语义自动识别章节边界,精准切割视频为独立片段的 Claude Code Skill。 English | 中文 中文 v2.0 更新 先提取音频再转录,速度提升 10x+:直接丢视频给 Whisper 在 CPU 下极慢(1.5GB 视频预计 10+ 小时),提取音频后只需 5 分钟 默认使用 small 模型:CPU 下性价比最高,中文识别准确率够用 修复 Windows GBK 编码问题:移除所有 emoji,纯 ASCII 输出 文件名安全处理:自动清理特殊字符,避免跨平台问题 自动清理中间文件:提取的音频文件默认自动删除 功能 音频提取:FFmpeg 提取 16kHz mono WAV(Whisper 最优格式),1.5GB 视频 3 秒搞定 字幕提取:Whisper 本地转录音频,生成带时间戳的字幕 语义分析:AI 理解内容,按知识点/问答自动识别章节边界 精准切割:FFmpeg 按语义章节切割,非固定时长 工作原理 成本(实测数据) 以 1.5GB / 1小时38分钟直播课为例: 每小时视频约 67K token,约 $0.74(¥5) 安装依赖 使用方法 bash 第一步:提取字幕(自动先分离音频再转录) python videochaptersplitter.py "视频.mp4" --extract-only 第二步:查看生成的 xxxsubtitles.md,创建 xxxchapters.json 或让 Claude 分析字幕自动生成章节 JSON 第三步:按章节切割 python videochaptersplitter.py "视频.mp4" --spl
| Stars | 167 |
| Forks | 20 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 64.8625752196337/100 |
| Last Updated | 2026-03-14 |
| Created | 2026-03-04 |
| Platforms | claude-code, python |
| Est. Tokens | ~2k |
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video-chapter-splitter is 基于字幕语义自动识别章节边界,精准切割视频的 Claude Code Skill. It is categorized as a Claude Skill with 167 GitHub stars.
video-chapter-splitter is primarily written in Python.
You can find installation instructions and usage details in the video-chapter-splitter GitHub repository at github.com/QiYongchuan/video-chapter-splitter. The project has 167 stars and 20 forks, indicating an active community.
The top alternatives to video-chapter-splitter on Agent Skills Hub include digital-marketing-pro, life-sciences, claude-ai-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.