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iml885203

YouTube Transcribe

作者 Logan · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
328
总下载
0
收藏
3
当前安装
1
版本数
在 OpenClaw 中安装
/install youtube-transcribe
功能描述
Transcribe YouTube videos with smart fallback: extracts captions first (fast, free), falls back to local Whisper transcription when no captions available. Au...
安全使用建议
This skill appears internally consistent and implements the advertised behavior. Before installing, consider: 1) it will download YouTube metadata and audio to a temporary directory (yt-dlp/ffmpeg are used), so only run it with links you trust and where downloading is permitted; 2) Whisper backends and models (if used) can be large and may need GPU/CPU resources—you must pip-install the backend you want and may incur large model downloads; 3) the script runs yt-dlp subprocesses (no shell injection vulnerability visible because arguments are passed as lists), but you should still review the included script if you have a high security posture; 4) there are no requested secrets or outbound endpoints beyond standard YouTube/yt-dlp usage. If any of the above is unacceptable (downloading media, installing models, or running subprocesses), do not install the skill.
功能分析
Type: OpenClaw Skill Name: youtube-transcribe Version: 1.0.0 The skill is a legitimate utility for transcribing YouTube videos using yt-dlp for caption extraction and various Whisper backends for local audio transcription. The implementation in scripts/transcribe.py follows security best practices, such as using list-based subprocess calls to prevent shell injection and utilizing temporary directories for intermediate files. No evidence of data exfiltration, malicious execution, or prompt injection was found.
能力评估
Purpose & Capability
Name/description match the implementation: the code uses yt-dlp to extract captions and to download audio, then attempts local Whisper backends (mlx, faster-whisper, openai-whisper). Declared required binaries (python3, yt-dlp) and optional ffmpeg are appropriate and sufficient for the stated functionality.
Instruction Scope
SKILL.md instructs running the included Python script with YouTube URLs and documents env var overrides. The script only reads system memory info (sysctl or /proc/meminfo), uses temporary directories, invokes yt-dlp/ffmpeg subprocesses, parses VTT files, and imports local Whisper backends. It does not reference unrelated files, external endpoints beyond YouTube/yt-dlp, or request arbitrary environment secrets.
Install Mechanism
Install specs are brew formulas for yt-dlp and ffmpeg (standard package sources). The skill does not auto-download code from an arbitrary URL or include high-risk install steps; Whisper backends are mentioned as pip installs but not automatically fetched by the skill itself.
Credentials
No credentials or sensitive environment variables are required. Two optional env vars (YT_WHISPER_BACKEND, YT_WHISPER_MODEL) are reasonable and documented. The script reads only common system info (RAM) to pick model sizes.
Persistence & Privilege
The skill is not always-enabled, does not modify other skills or global agent settings, and does not request persistent elevated privileges. It runs as a user-level script and uses temporary files.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install youtube-transcribe
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /youtube-transcribe 触发
  4. 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: smart YouTube transcription with caption extraction + multi-backend Whisper fallback (MLX/faster-whisper/openai-whisper)
元数据
Slug youtube-transcribe
版本 1.0.0
许可证
累计安装 3
当前安装数 3
历史版本数 1
常见问题

YouTube Transcribe 是什么?

Transcribe YouTube videos with smart fallback: extracts captions first (fast, free), falls back to local Whisper transcription when no captions available. Au... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 328 次。

如何安装 YouTube Transcribe?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install youtube-transcribe」即可一键安装,无需额外配置。

YouTube Transcribe 是免费的吗?

是的,YouTube Transcribe 完全免费(开源免费),可自由下载、安装和使用。

YouTube Transcribe 支持哪些平台?

YouTube Transcribe 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 YouTube Transcribe?

由 Logan(@iml885203)开发并维护,当前版本 v1.0.0。

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