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chentx1243

video2imgs-视频关键帧获取

by Chentx1243 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install maple-video-capture
Description
Capture key frames from video files at fixed time intervals. Use when you need to understand video content by extracting screenshots, or when you need to ana...
Usage Guidance
This skill appears coherent and implements exactly what it claims: extracting frames from local videos and optionally skipping similar frames. Before installing or running: 1) be prepared to run pip install -r requirements.txt (opencv packages include native binaries); 2) run the script only on videos you trust and choose an appropriate output directory (it will write images there); 3) note the script will add D:\SOFTware\py_dependent to Python's import path if that folder exists — if you have untrusted code in that folder it could influence imports, so ensure that path is either empty or trusted. Otherwise the skill's requested actions and resources look proportionate to its purpose.
Capability Assessment
Purpose & Capability
The name/description (capture key frames) matches the included Python script and README. Required packages (opencv-python-headless, numpy) are appropriate for video frame extraction.
Instruction Scope
SKILL.md instructs running the local script on local video files and installing dependencies via pip. The script only reads the specified input video, writes image files to the specified output directory, and logs progress — it does not contact external endpoints or read unrelated system data.
Install Mechanism
No install spec is provided (instruction-only for installation); dependencies are pulled from PyPI via requirements.txt, which is normal for this use case. Installing opencv-python-headless is expected but brings native binaries from PyPI — standard but worthy of standard supply-chain caution.
Credentials
The skill requests no environment variables or credentials, which is proportional. One minor note: the script conditionally inserts a hard-coded D:\SOFTware\py_dependent path into sys.path if that directory exists; this is likely intended for a developer environment but could cause imports to come from that local directory if present.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent privileges or modify other skills or system-wide agent settings. It runs only when invoked.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install maple-video-capture
  3. After installation, invoke the skill by name or use /maple-video-capture
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release switching from video/audio transcription to key frame capture from videos. - Introduced a new skill that captures key frames from video files at fixed time intervals. - Supports skipping similar frames to avoid redundant screenshots with configurable similarity threshold. - Outputs frames with descriptive filenames indicating source video, timestamp, and sequence. - Added documentation on usage, parameters, example commands, and technical details. - Requires OpenCV (opencv-python-headless) for frame extraction.
Metadata
Slug maple-video-capture
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is video2imgs-视频关键帧获取?

Capture key frames from video files at fixed time intervals. Use when you need to understand video content by extracting screenshots, or when you need to ana... It is an AI Agent Skill for Claude Code / OpenClaw, with 144 downloads so far.

How do I install video2imgs-视频关键帧获取?

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

Is video2imgs-视频关键帧获取 free?

Yes, video2imgs-视频关键帧获取 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does video2imgs-视频关键帧获取 support?

video2imgs-视频关键帧获取 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created video2imgs-视频关键帧获取?

It is built and maintained by Chentx1243 (@chentx1243); the current version is v1.0.0.

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