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Short Video Auto Editing

作者 Dally-bee · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
234
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install short-video-auto-editing
功能描述
基于 MoviePy 和 Edge TTS,实现短视频素材自动筛选、裁剪、AI配音、字幕同步及批量混剪生成。
安全使用建议
This skill appears to do what it says (batch video editing + Edge TTS), but before using it you should: (1) ensure you have the required runtime tooling installed — Python, MoviePy, the edge-tts package, and a working ffmpeg binary (MoviePy requires ffmpeg) — the SKILL.md omits these declarations; (2) be aware Edge TTS will make network calls to Microsoft voice services (no credentials are requested, but text/audio is sent to that service); (3) adjust platform-specific paths (the font path in the doc is macOS-specific) and confirm the ~/视频素材/ and outputs/ directories are correct and writable; (4) run the workflow in a safe/test environment first (it processes local media files and writes output) and review any third-party packages you install for supply-chain risk. If you want stronger assurance, ask the author for an explicit dependency list and an install spec (including ffmpeg and required Python packages) and a statement about whether Edge TTS requires any subscription or will send data to external servers.
功能分析
Type: OpenClaw Skill Name: short-video-auto-editing Version: 1.0.0 The skill bundle provides a legitimate workflow and code templates for automated short video editing using MoviePy and Edge TTS. The instructions in SKILL.md focus entirely on the stated purpose of batch video production, including material management, voiceover generation, and quality control. There are no indicators of data exfiltration, malicious execution, or prompt injection attempts.
能力评估
Purpose & Capability
The SKILL.md describes MoviePy-based editing and Edge TTS voice generation which is consistent with the skill name/description. However, the skill declares no required binaries/config but the workflow implicitly requires external runtime components (ffmpeg for MoviePy, a Python runtime and pip packages). It also references a macOS font path (/System/Library/Fonts/STHeiti Light.ttc) which is platform-specific and not declared.
Instruction Scope
Instructions operate on local media files, generate audio via edge_tts, produce subtitle clips, and write outputs to an outputs/ directory. There are no instructions to read unrelated system files, exfiltrate data, or post results to external endpoints beyond using Edge TTS (a network service). The text explicitly outlines file structure, selection logic, and quality checks.
Install Mechanism
This is an instruction-only skill with no install spec and no code files bundled, so nothing is written to disk by an installer. That lowers installation risk. (Note: runtime requires Python packages and ffmpeg but these are not declared as install steps.)
Credentials
The skill requests no environment variables or credentials (declared none). It does rely on edge_tts which will use network access to Microsoft voice services; the SKILL.md does not declare any credentials for that (edge-tts often uses public endpoints without subscription keys), but the lack of declared network dependence is worth noting. No unrelated secrets or config paths are requested.
Persistence & Privilege
always is false and the skill is user-invocable only. It does not request persistent system-wide changes or access to other skills' configs. Autonomous invocation is allowed (platform default) but not combined with other privilege escalations.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install short-video-auto-editing
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /short-video-auto-editing 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of short-video-auto-editing: - Automates short video mashup generation for platforms like 抖音, 视频号, 小红书. - Integrates MoviePy for video editing, Edge TTS for AI voiceover, and automated subtitle syncing. - Supports bulk video production with material deduplication and voice rotation. - Includes quality control checks (duration, resolution, file size, etc.) and material usage tracking to keep repetition ≤40%. - Modular workflow: material management, copywriting, audio generation, video editing, subtitles, QC, and batch automation. - Provides template setups for different brands and scenarios, with self-iteration guidelines.
元数据
Slug short-video-auto-editing
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Short Video Auto Editing 是什么?

基于 MoviePy 和 Edge TTS,实现短视频素材自动筛选、裁剪、AI配音、字幕同步及批量混剪生成。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 234 次。

如何安装 Short Video Auto Editing?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install short-video-auto-editing」即可一键安装,无需额外配置。

Short Video Auto Editing 是免费的吗?

是的,Short Video Auto Editing 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Short Video Auto Editing 支持哪些平台?

Short Video Auto Editing 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Short Video Auto Editing?

由 Dally-bee(@dally-bee)开发并维护,当前版本 v1.0.0。

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