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在 OpenClaw 中安装
/install video-to-text-2
功能描述
Video to text converter. Downloads videos from Bilibili using bilibili-api, from other sites using yt-dlp, then transcribes audio using faster-whisper. Use w...
安全使用建议
This skill appears to do what it says: download video/audio and transcribe it locally. Before using it: (1) review the script locally (it’s short and readable) and run in an isolated environment (virtualenv, container). (2) Be cautious when supplying Bilibili credentials: copy SESSDATA/bili_jct/buvid3 only from your browser and do not paste them into shared repos or logs; prefer passing them on the command line for ephemeral use. (3) Ensure yt-dlp and ffmpeg are installed from trusted sources because the script invokes yt-dlp as a subprocess. (4) Expect large model downloads and disk usage for medium/large faster-whisper models. If you want higher assurance, run the script on a machine/account where leaked cookies would have limited impact.
功能分析
Type: OpenClaw Skill
Name: video-to-text-2
Version: 0.1.0
The skill is classified as suspicious due to its use of `subprocess.run` to execute external commands (`yt-dlp`), which, while necessary for its stated purpose, introduces a potential for shell or argument injection if the OpenClaw agent does not properly sanitize user-provided URLs or file paths before execution. Additionally, the script handles sensitive Bilibili authentication credentials (SESSDATA, bili_jct, buvid3) by allowing them to be passed as command-line arguments or stored in a global variable within `scripts/video_to_text.py`, which is a vulnerability in credential management that could lead to exposure. The `SKILL.md` itself does not contain malicious prompt injection but outlines a `bash` command usage that could be exploited by an agent if user input is directly interpolated.
能力评估
Purpose & Capability
Name/description match the code and README: script downloads videos (bilibili-api or yt-dlp) and transcribes with faster-whisper. Required tools and libraries (yt-dlp, bilibili-api, ffmpeg, faster-whisper) are appropriate for the stated task.
Instruction Scope
SKILL.md and the script limit actions to downloading audio and transcribing. The README instructs users to extract Bilibili cookies via browser DevTools — this is necessary for authenticated Bilibili downloads but is sensitive; the skill does not attempt to transmit credentials anywhere else. The script runs yt-dlp via subprocess and performs HTTP GETs for audio URLs (expected).
Install Mechanism
No automated install spec; instructions tell user to pip install listed packages and ensure ffmpeg. This is low-risk and transparent.
Credentials
The skill does not request environment variables or external credentials by default. It does require Bilibili session cookies for downloading private/age-restricted content; those are provided via CLI or editing the script. Requesting these specific cookies is proportionate to Bilibili access, but storing credentials in the script or exposing them carelessly is a security risk.
Persistence & Privilege
Skill is not always-enabled, does not request special platform privileges, and does not modify other skills or system-wide 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 video-to-text-2 - 安装完成后,直接呼叫该 Skill 的名称或使用
/video-to-text-2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
v0.1.0
Initial release of video-to-text: convert online or local videos to text.
- Download videos from Bilibili (with auth) or any yt-dlp supported site, or use local files.
- Transcribe video audio to text using faster-whisper with multiple model options.
- Supports language selection, output to file, and optional keeping of media files.
- Includes usage examples, auth setup details for Bilibili, and installation instructions.
元数据
常见问题
Video To Text 是什么?
Video to text converter. Downloads videos from Bilibili using bilibili-api, from other sites using yt-dlp, then transcribes audio using faster-whisper. Use w... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 496 次。
如何安装 Video To Text?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-to-text-2」即可一键安装,无需额外配置。
Video To Text 是免费的吗?
是的,Video To Text 完全免费(开源免费),可自由下载、安装和使用。
Video To Text 支持哪些平台?
Video To Text 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 To Text?
由 Lkyyyy320(@lkyyyy320)开发并维护,当前版本 v0.1.0。
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