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miku233333

Youtube Transcript Local

作者 miku233333 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
149
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1
当前安装
2
版本数
在 OpenClaw 中安装
/install youtube-transcript-local
功能描述
通過本地 yt-dlp 提取 YouTube 視頻多語言字幕,無需外部API,支持自動生成字幕和離線安全使用。
安全使用建议
This skill appears to do what it claims: locally fetch YouTube subtitles using yt-dlp and optionally use local STT/OCR fallbacks. Before installing/running: 1) Be aware extract.py will try to 'pip install yt-dlp' automatically if yt-dlp is not present — that triggers a network install from PyPI. If you prefer, pre-install yt-dlp and any optional tools (ffmpeg, Whisper, tesseract) in a virtualenv or container. 2) The tool needs network access to YouTube and will write files into the current working directory (creates ./transcripts and ./.cache) — run it in a directory you control. 3) The code is simple and uses subprocess.run without shell=True (safer), but you should still review or run it in an isolated environment if you don't trust the package source. 4) If you want stricter guarantees, clone the referenced GitHub repo yourself, inspect code locally, and install dependencies explicitly rather than relying on runtime pip installs.
能力评估
Purpose & Capability
Name/description: extract YouTube transcripts locally via yt-dlp. The included Python code and SKILL.md call and manage yt-dlp, optionally ffmpeg/Whisper/Tesseract for audio/OCR. There are no unrelated credentials, binaries, or config paths requested.
Instruction Scope
SKILL.md and extract.py stay within the stated scope (run yt-dlp to fetch subtitles, optionally extract audio and run local STT/OCR). The skill does require network access to YouTube (documented in SKILL.md). It references other skills/tools (whisper, tesseract-ocr, browser screenshot) as fallbacks; those may expand runtime scope if used but are not part of this skill itself.
Install Mechanism
There is no explicit install spec in the registry, but extract.py will attempt to run 'pip install yt-dlp' at runtime if yt-dlp is not found. That means code will perform network installs from PyPI when executed — an operational risk (unexpected network package installation) though the package host (PyPI) is standard. No downloads from unknown custom URLs are present.
Credentials
The skill does not require environment variables or secrets. README suggests optional env vars for defaults (YT_DEFAULT_LANG, YT_OUTPUT_DIR, etc.); these are reasonable and not sensitive. The code writes local cache and output files in the working directory, which is expected behavior.
Persistence & Privilege
The skill does not request always:true and does not modify other skills or global agent config. It creates local cache/output files under the current working directory (./.cache, ./transcripts) but nothing else persistent or privileged is requested.
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-transcript-local
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /youtube-transcript-local 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
v1.0.1
Fix Windows encoding + First test passed
v1.0.0
Initial release of YouTube Transcript (本地安全版): - Extract YouTube video subtitles locally using yt-dlp, without external APIs. - Supports multiple languages (Chinese, English, Japanese, etc.) and automatic subtitle generation. - Includes fallback: generate transcripts from audio (Whisper) or video OCR (Tesseract) when subtitles are unavailable. - Ensures local security—no VirusTotal flags, no quota limits, and free to use. - Provides step-by-step usage instructions and integration with related summarization and OCR skills.
元数据
Slug youtube-transcript-local
版本 1.0.1
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 2
常见问题

Youtube Transcript Local 是什么?

通過本地 yt-dlp 提取 YouTube 視頻多語言字幕,無需外部API,支持自動生成字幕和離線安全使用。 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 Youtube Transcript Local?

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

Youtube Transcript Local 是免费的吗?

是的,Youtube Transcript Local 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Youtube Transcript Local 支持哪些平台?

Youtube Transcript Local 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 Transcript Local?

由 miku233333(@miku233333)开发并维护,当前版本 v1.0.1。

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