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video-frame-extractor
作者
Haoyu Huang
· GitHub ↗
· v1.0.0
· MIT-0
149
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-frame-extractor
功能描述
This skill should be used when extracting frames from video files, such as generating keyframe sequences from videos, creating video thumbnails at intervals,...
安全使用建议
This skill appears coherent and focused: it simply instructs an agent how to use FFmpeg to extract frames. Before installing or using it, ensure you: (1) only run it on videos you trust and have permission to process (the agent will run ffmpeg on files you supply), (2) install FFmpeg from your OS package manager or a trusted distributor (prefer apt/dnf/brew/winget or the official project releases), and (3) review and sanitize any paths you provide (output_path, video_path) to avoid overwriting important files. No credentials are requested by the skill. If you need the agent to process sensitive media, consider running FFmpeg locally yourself rather than granting the agent autonomous access.
功能分析
Type: OpenClaw Skill
Name: video-frame-extractor
Version: 1.0.0
The skill provides legitimate instructions for an AI agent to extract video frames using FFmpeg. It includes standard installation commands for various operating systems (e.g., apt, brew, winget) and well-formed FFmpeg commands for processing video files. No malicious behavior, data exfiltration, or suspicious obfuscation was detected in SKILL.md or the metadata.
能力评估
Purpose & Capability
Name and description match the actual content: the SKILL.md provides FFmpeg-based (and fallback OpenCV) instructions for extracting frames. No unrelated credentials, binaries, or configuration paths are requested.
Instruction Scope
Instructions are narrowly scoped to verifying/ installing FFmpeg, determining extraction parameters, running ffmpeg commands, and validating output. They do not direct the agent to read unrelated system files, access credentials, or transmit data to external endpoints.
Install Mechanism
This is an instruction-only skill with no install spec or bundled code. The SKILL.md recommends installing FFmpeg via standard package managers or an official build site; nothing is downloaded or executed by the skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths. The operations described (running ffmpeg against provided video files and writing frames to an output directory) are proportional to the stated purpose.
Persistence & Privilege
always is false and model invocation is allowed (default). The skill does not request persistent or elevated privileges or modify other skills' configuration.
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 video-frame-extractor - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-frame-extractor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-frame-extractor skill.
- Provides step-by-step guide to extract frames from videos using FFmpeg, with OpenCV as a fallback.
- Details workflow: FFmpeg installation check, user parameter confirmation, precise command generation, and output verification.
- Includes commands and guidance for installation on Windows, Linux, and macOS.
- Explains error handling, directory structure, and tips for best results.
元数据
常见问题
video-frame-extractor 是什么？
This skill should be used when extracting frames from video files, such as generating keyframe sequences from videos, creating video thumbnails at intervals,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 149 次。
如何安装 video-frame-extractor？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-frame-extractor」即可一键安装，无需额外配置。
video-frame-extractor 是免费的吗？
是的，video-frame-extractor 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
video-frame-extractor 支持哪些平台？
video-frame-extractor 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 video-frame-extractor？
由 Haoyu Huang（@huanghaoyu1997）开发并维护，当前版本 v1.0.0。
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