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Kine（/kaɪn/）· 为 AI 智能体设计的确定性视频剪辑/合成引擎：第 N 帧 = f(N)。TypeScript monorepo（8 包）+ Edge CDP 逐帧抓帧 + ffmpeg 分片编码 + Python 侧车。能力：32 个 CLI/MCP 工具，读事实→改 DSL→量结果→验证出片；声明式 timeline.yaml 单一真源；逐帧确定性渲染、字节级复现；8 类指标 + 断言集 + 基线回归；34 个 widget；15 种转场；离线 SFX；字幕；浅色模式。已出片 world.execute(me) MV（25 幕 / 121.9s）等。
kine-video is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 49/100. Kine（/kaɪn/）· 为 AI 智能体设计的确定性视频剪辑/合成引擎：第 N 帧 = f(N)。TypeScript monorepo（8 包）+ Edge CDP 逐帧抓帧 + ffmpeg 分片编码 + Python 侧车。能力：32 个 CLI/MCP 工具，读事实→改 DSL→量结果→验证出片；声明式 t. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding kine-video to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/Mentha-Azure/kine-video.gitReview the upstream source before running this command.
Scan coverage: Install metadata and repository README.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
{
"fullName": "Mentha-Azure/kine-video"
}Kine（/kaɪn/）· 为 AI 智能体设计的确定性视频剪辑/合成引擎：第 N 帧 = f(N)。TypeScript monorepo（8 包）+ Edge CDP 逐帧抓帧 + ffmpeg 分片编码 + Python 侧车。能力：32 个 CLI/MCP 工具，读事实→改 DSL→量结果→验证出片；声明式 timeline.yaml 单一真源；逐帧确定性渲染、字节级复现；8 类指标 + 断言集 + 基线回归；34 个 widget；15 种转场；离线 SFX；字幕；浅色模式。已出片 world.execute(me) MV（25 幕 / 121.9s）等。