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video2txt-视频理解字幕提取
作者
Chentx1243
· GitHub ↗
· v1.0.1
· MIT-0
142
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install maple-video2txt
功能描述
将本地视频或音频文件转写为 SRT 字幕文件和 TXT 纯文本文件
安全使用建议
This skill appears to do what it says: transcribe local media into .srt and .txt using faster-whisper and ffmpeg. Before installing or running it: 1) Run pip installs in an isolated venv. 2) Ensure ffmpeg/ffprobe are installed and on PATH. 3) Be aware the first run will download Whisper model files (network traffic and significant disk use); verify you are comfortable with that. 4) Inspect the SKILL.md and script for any hidden/unexpected characters or modifications (the static scan flagged unicode control characters). 5) If you plan to run it automatically, restrict it to media files you trust — the script will read local files and write model files and outputs to disk. If anything in the SKILL.md raw text looks suspicious, do not grant it automated/autonomous execution until you confirm the content is clean.
功能分析
Type: OpenClaw Skill
Name: maple-video2txt
Version: 1.0.1
The skill bundle is a legitimate tool for transcribing video and audio files using the faster-whisper library. The Python script (video_to_text.py) implements standard media processing logic, including duration detection via ffprobe and text normalization. No evidence of data exfiltration, malicious execution, or prompt injection was found; all behaviors, including model downloading and file system access, are consistent with the stated purpose.
能力评估
Purpose & Capability
Name/description, required binary (python3), declared dependencies (faster-whisper, av, opencc) and the included Python script all align with a local transcription/subtitle generation tool. The script uses ffprobe/ffmpeg and faster-whisper as expected.
Instruction Scope
SKILL.md instructs the agent to run the provided Python script and to install dependencies; the instructions stay within the transcription task. Important operational behaviors are called out (model download on first run, use background execution). Note: the script will perform network downloads for Whisper models and will call ffprobe/ffmpeg via subprocess; these are expected but are external network/system interactions the user should be aware of. Also the SKILL.md pre-scan flagged unicode-control-chars (possible prompt-injection attempt) — the visible content looks normal, but a manual check of raw file bytes for hidden control characters is recommended.
Install Mechanism
No custom install spec; standard pip requirements.txt is provided. This is low-risk compared with arbitrary remote archive downloads. The only external runtime download is the Whisper model files (expected for this functionality).
Credentials
The skill requests no environment variables or credentials. It needs access to local files (input media) and will write SRT/TXT output and model files to disk (models directory). These requirements are proportional to the stated goal.
Persistence & Privilege
Skill is not always-on and does not request special platform privileges. It does not declare or appear to 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 maple-video2txt - 安装完成后,直接呼叫该 Skill 的名称或使用
/maple-video2txt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
v1.0.1
- Changed skill emoji from 🎬 to video in the metadata.
- Added ffprobe/ffmpeg and Whisper model files as dependencies in the documentation.
- Updated script file location: removed video_to_text.py from root, added scripts/video_to_text.py.
- No functional changes to user-visible features.
v1.0.0
Initial release — revamped and simplified to focus on local video/audio transcription to text and subtitles.
- Transcribes local video or audio files into SRT subtitle and plain TXT files using faster-whisper.
- Supports a variety of video and audio formats; defaults to Chinese (Simplified) recognition.
- Provides detailed CLI usage with customizable parameters for output, language, and model.
- Progress is reported during execution; intended for background runs to avoid popups.
- Dependencies listed in requirements.txt; Node/npm scripts and docx outputs from previous version removed.
元数据
常见问题
video2txt-视频理解字幕提取 是什么?
将本地视频或音频文件转写为 SRT 字幕文件和 TXT 纯文本文件. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 142 次。
如何安装 video2txt-视频理解字幕提取?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install maple-video2txt」即可一键安装,无需额外配置。
video2txt-视频理解字幕提取 是免费的吗?
是的,video2txt-视频理解字幕提取 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
video2txt-视频理解字幕提取 支持哪些平台?
video2txt-视频理解字幕提取 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 video2txt-视频理解字幕提取?
由 Chentx1243(@chentx1243)开发并维护,当前版本 v1.0.1。
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