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在 OpenClaw 中安装
/install my-test-viedo
功能描述
Extract frames or short clips from videos using ffmpeg.
使用说明 (SKILL.md)
Video Frames (ffmpeg)
Extract a single frame from a video, or create quick thumbnails for inspection.
Quick start
First frame:
{baseDir}/scripts/frame.sh /path/to/video.mp4 --out /tmp/frame.jpg
At a timestamp:
{baseDir}/scripts/frame.sh /path/to/video.mp4 --time 00:00:10 --out /tmp/frame-10s.jpg
Notes
- Prefer
--timefor “what is happening around here?”. - Use a
.jpgfor quick share; use.pngfor crisp UI frames.
安全使用建议
This skill is a thin wrapper around ffmpeg and appears coherent. Before installing, ensure you: (1) install ffmpeg from a trusted package source (brew in the spec) appropriate for your OS; (2) run the script only on video files you trust (it will create/overwrite the specified output path); and (3) be aware brew may not be available on all platforms (Windows). No credentials or network access are requested by the skill.
功能分析
Type: OpenClaw Skill
Name: my-test-viedo
Version: 1.0.0
The skill is a legitimate utility for extracting video frames using ffmpeg. The bash script 'scripts/frame.sh' provides a wrapper for standard ffmpeg commands to capture frames by timestamp or index, and the 'SKILL.md' documentation contains straightforward usage instructions without any signs of prompt injection or malicious intent.
能力评估
Purpose & Capability
Name/description match the implementation: the skill requires the ffmpeg binary, provides a script that extracts frames, and offers a brew install for ffmpeg. All required components are proportional to the stated purpose.
Instruction Scope
SKILL.md instructs running the included scripts/frame.sh with a video path and output path. The script only checks the input file, creates the output directory, calls ffmpeg to extract a frame, and prints the output path — it does not read other files, environment variables, or contact external endpoints.
Install Mechanism
Install spec uses the well-known 'ffmpeg' brew formula to provide the required binary. No downloads from arbitrary URLs or extract-from-remote archives are present.
Credentials
The skill requests no environment variables, credentials, or config paths. The script only uses command-line arguments provided at runtime.
Persistence & Privilege
always is false and the skill does not request elevated or persistent system privileges. It writes only the output file path provided by the caller and does not modify other skills or global agent settings.
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 my-test-viedo - 安装完成后，直接呼叫该 Skill 的名称或使用
/my-test-viedo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 of the "video-frames" skill.
- Extract individual frames or short clips from videos using ffmpeg.
- Includes scripts for grabbing the first frame or frames at specified timestamps.
- Provides quick tips on output formats and usage preferences.
元数据
常见问题
视频提取 是什么？
Extract frames or short clips from videos using ffmpeg. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 247 次。
如何安装 视频提取？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install my-test-viedo」即可一键安装，无需额外配置。
视频提取 是免费的吗？
是的，视频提取 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
视频提取 支持哪些平台？
视频提取 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 视频提取？
由 jili544（@jili544）开发并维护，当前版本 v1.0.0。
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