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版本数
在 OpenClaw 中安装
/install media-processor
功能描述
音视频处理器 - 企业级多媒体内容处理工具 | Media Processor - Enterprise multimedia content processing
安全使用建议
This code appears to be a straightforward on-host media processing library. Before installing or running: 1) ensure FFmpeg and ffprobe are installed and on PATH (video_processor uses ffprobe); 2) be aware Whisper (openai-whisper) may download large model weights at first use and require significant CPU/GPU and disk space; 3) the code has a few implementation bugs (e.g., video_processor sometimes appends '-c:v copy' as a single arg which can break ffmpeg invocation, and tests expect an 'error' key that get_info currently doesn't return) — these are quality issues but not indicators of malicious behavior; 4) run code on non-sensitive/test media first and inspect any network activity (model downloads) if you need to enforce offline operation; 5) if you will process untrusted filenames, validate/normalize paths (they are written into a temporary concat list file and may be interpreted by ffmpeg).
功能分析
Type: OpenClaw Skill
Name: media-processor
Version: 1.0.0
The media-processor skill bundle provides legitimate multimedia processing capabilities using standard libraries such as FFmpeg, MoviePy, Pydub, and OpenAI Whisper. The code logic in scripts like video_processor.py and transcriber.py is well-structured and aligns with the stated purpose of format conversion, editing, and transcription. No evidence of data exfiltration, malicious command execution, or prompt injection was found; the use of subprocess for FFmpeg calls is handled safely without shell=True.
能力评估
Purpose & Capability
Name/description (media processing) matches the included code (video/audio editor, ffmpeg wrapper, whisper-based transcriber) and requirements (FFmpeg, moviepy, whisper). No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md instructs only local media processing and how to install dependencies. The transcriber loads Whisper models at runtime — that may cause large model downloads from the network (expected for transcription). The runtime instructions do not reference unrelated files, environment variables, or external endpoints beyond the normal model download behavior.
Install Mechanism
There is no automated install spec; SKILL.md instructs using pip install -r requirements.txt and installing FFmpeg manually. This is reasonable for a Python media tool, but note that installing whisper/torch can trigger large downloads and GPU drivers; model weights may be downloaded at first use.
Credentials
The skill requires no environment variables or credentials. Declared dependencies and external requirements (FFmpeg, Whisper) are proportionate to transcription and transcoding functionality.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and contains no code that writes to system-wide agent configs. It runs as a normal user tool operating on local files.
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 media-processor - 安装完成后,直接呼叫该 Skill 的名称或使用
/media-processor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: Enterprise multimedia processing with FFmpeg
元数据
常见问题
Media Processor 是什么?
音视频处理器 - 企业级多媒体内容处理工具 | Media Processor - Enterprise multimedia content processing. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 202 次。
如何安装 Media Processor?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install media-processor」即可一键安装,无需额外配置。
Media Processor 是免费的吗?
是的,Media Processor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Media Processor 支持哪些平台?
Media Processor 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 Media Processor?
由 Lv Lancer(@kaiyuelv)开发并维护,当前版本 v1.0.0。
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