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dally-bee

Short Video Auto Editing

by Dally-bee · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
234
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Install in OpenClaw
/install short-video-auto-editing
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install short-video-auto-editing
  3. After installation, invoke the skill by name or use /short-video-auto-editing
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug short-video-auto-editing
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Short Video Auto Editing?

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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 234 downloads so far.

How do I install Short Video Auto Editing?

Run "/install short-video-auto-editing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Short Video Auto Editing free?

Yes, Short Video Auto Editing is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Short Video Auto Editing support?

Short Video Auto Editing is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Short Video Auto Editing?

It is built and maintained by Dally-bee (@dally-bee); the current version is v1.0.0.

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