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在 OpenClaw 中安装
/install video-transcriber
功能描述
视频转写工作流，支持B站和YouTube视频。自动判断有字幕/无字幕，有字幕则获取字幕，无字幕则下载音频+whisper转写。触发场景：(1) 用户要求总结视频内容 (2) 用户要求获取视频字幕 (3) 用户要求转写视频 (4) 处理B站/YouTube视频
安全使用建议
Before installing or using this skill: (1) verify that the Python script (~/.openclaw/extensions/...) and any extension it belongs to are from a trusted source—inspect its code before executing; (2) ensure yt-dlp, ffmpeg, jq, whisper-cpp and the ggml-tiny.bin model are installed from official/trustworthy releases and verify checksums where possible; (3) be aware the skill will download video audio to the local working directory and run local binaries (no network exfiltration is specified, but the get_transcript.py may access the network—inspect it); (4) if you need a packaged/safer setup, ask the author for an install spec or sources for the required tools and model so you can vet them before running.
功能分析
Type: OpenClaw Skill
Name: video-transcriber
Version: 1.0.0
The skill bundle provides a legitimate workflow for transcribing Bilibili and YouTube videos using standard command-line tools such as yt-dlp, ffmpeg, and whisper-cpp. The instructions in SKILL.md are consistent with the stated purpose of video processing and transcription, and there are no indicators of data exfiltration, unauthorized network access, or malicious intent. While the use of the '--no-check-certificate' flag in yt-dlp is a minor security weakness, it does not demonstrate malicious behavior.
能力评估
Purpose & Capability
The skill's description (Bilibili/YouTube transcription) matches the instructions, but the registry metadata declares no required binaries or env vars while the SKILL.md clearly requires python3 (a local get_transcript.py), yt-dlp, jq, ffmpeg, whisper-cpp, and a model file (ggml-tiny.bin). That mismatch (nothing declared vs. many required tools) is incoherent and worth flagging.
Instruction Scope
The runtime instructions tell the agent to execute a specific Python script at ~/.openclaw/extensions/bilibili-youtube-watcher/scripts/get_transcript.py and run shell commands that download audio, transcode, and invoke whisper-cpp. Running a script from a user-home extensions path and executing arbitrary CLI tools is expected for this task but also risky if the script or installed binaries are untrusted — the SKILL.md gives no provenance for that script or the model file. It does not instruct exfiltration to unrelated endpoints, but it does reference an external Feishu doc for subtitles.
Install Mechanism
There is no install spec (instruction-only), which minimizes what the skill writes to disk, but also leaves all installation and trust decisions to the user. The SKILL.md expects third-party binaries and a model file to already be present; it gives no secure download sources or verification steps for those artifacts (e.g., where to get ggml-tiny.bin or whisper-cpp). That gap increases operational risk if users fetch these components from untrusted locations.
Credentials
The skill requests no environment variables, credentials, or config paths in the registry metadata. The instructions do reference a path under the user's home (~/.openclaw/extensions) and will read/write local audio/transcript files, which is consistent with a local transcription workflow and does not require additional secrets.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent platform presence or modify other skills' configs. It simply assumes pre-existing local tooling and 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 video-transcriber - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-transcriber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 of the video-transcriber skill.
- Supports Bilibili and YouTube videos: summarizes content, retrieves or transcribes subtitles, and processes both platforms.
- Automatically detects if captions are available; fetches them if present or uses Whisper transcription if absent.
- Handles both Chinese and English videos, with translation when needed.
- Workflow includes tools: bilibili-youtube-watcher, yt-dlp, ffmpeg, and whisper.cpp.
元数据
常见问题
Video Transcriber 是什么？
视频转写工作流，支持B站和YouTube视频。自动判断有字幕/无字幕，有字幕则获取字幕，无字幕则下载音频+whisper转写。触发场景：(1) 用户要求总结视频内容 (2) 用户要求获取视频字幕 (3) 用户要求转写视频 (4) 处理B站/YouTube视频. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 411 次。
如何安装 Video Transcriber？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-transcriber」即可一键安装，无需额外配置。
Video Transcriber 是免费的吗？
是的，Video Transcriber 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Video Transcriber 支持哪些平台？
Video Transcriber 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 Transcriber？
由 xing2xian（@xing2xian）开发并维护，当前版本 v1.0.0。
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