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video2imgs-视频关键帧获取
作者
Chentx1243
· GitHub ↗
· v1.0.0
· MIT-0
144
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install maple-video-capture
功能描述
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...
安全使用建议
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install maple-video-capture - 安装完成后，直接呼叫该 Skill 的名称或使用
/maple-video-capture触发 - 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 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.
元数据
常见问题
video2imgs-视频关键帧获取 是什么？
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 144 次。
如何安装 video2imgs-视频关键帧获取？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install maple-video-capture」即可一键安装，无需额外配置。
video2imgs-视频关键帧获取 是免费的吗？
是的，video2imgs-视频关键帧获取 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
video2imgs-视频关键帧获取 支持哪些平台？
video2imgs-视频关键帧获取 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 video2imgs-视频关键帧获取？
由 Chentx1243（@chentx1243）开发并维护，当前版本 v1.0.0。
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