← 返回 Skills 市场
52
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install voice-transcriber-toolkit
功能描述
Voice-to-Text Transcription Toolkit - 语音识别转文字，支持Whisper/Vosk引擎，批量处理，字幕导出 | Speech recognition & transcription with Whisper/Vosk engines, batch processing, su...
安全使用建议
This skill appears to do what it says: local transcription and audio conversion. Before installing, be aware that: (1) pip will install openai-whisper and vosk which may pull large model weights at runtime (network downloads, significant disk usage); (2) running whisper.load_model(...) will typically download models from the internet unless cached—plan for bandwidth and storage or pin small models explicitly; (3) the examples/tests add a hardcoded '/root/.openclaw/...' sys.path which is odd but not harmful—review/adjust paths for your environment; (4) as with any third-party pip package, review dependency versions and run in a sandbox if you have security concerns. No credentials or secret access are requested by this skill.
功能分析
Type: OpenClaw Skill
Name: voice-transcriber-toolkit
Version: 1.0.0
The voice-transcriber-toolkit is a legitimate utility for audio transcription and conversion using Whisper and Vosk. A review of the code in scripts/voice_transcriber.py shows that subprocess calls to ffmpeg and ffprobe are handled safely using argument lists, which prevents shell injection vulnerabilities. No indicators of data exfiltration, malicious persistence, or prompt injection were found across the documentation or source files.
能力评估
Purpose & Capability
Name/description (Whisper/Vosk transcription, ffmpeg conversion, subtitle export) match the declared binaries (python3, ffmpeg), requirements.txt (openai-whisper, vosk), and the provided code. The functionality requested (audio conversion, transcription, subtitle export) is coherent with the assets included.
Instruction Scope
SKILL.md instructs installing Python deps and ffmpeg — appropriate for the stated purpose. The code does not read unrelated system files or contact unexpected external endpoints, but whisper.load_model(...) and the Whisper/Vosk libraries may download or load model weights from the network or local cache at runtime (large downloads). Example/test files insert an absolute sys.path ('/root/.openclaw/...') which is unusual but appears intended to help local execution in the platform workspace; it does not itself exfiltrate data but is worth noting.
Install Mechanism
Install is via pip (requirements.txt) and apt (ffmpeg). These are standard for this use case; pip packages will be fetched from PyPI which is normal but carries the usual dependency risk (supply-chain, version trust). No downloads from arbitrary URLs or archived/extracted remote payloads were found.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The code does not attempt to access secrets or unrelated environment variables. This is proportionate to a local transcription tool.
Persistence & Privilege
The skill does not request always:true and defaults allow user invocation/autonomous model invocation (platform default). It does not modify other skills or system-wide configs. No concerning persistence or privilege escalation behavior is present.
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 voice-transcriber-toolkit - 安装完成后，直接呼叫该 Skill 的名称或使用
/voice-transcriber-toolkit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 - speech recognition with Whisper/Vosk engines, batch processing, subtitle export
元数据
常见问题
Voice Transcriber Toolkit 是什么？
Voice-to-Text Transcription Toolkit - 语音识别转文字，支持Whisper/Vosk引擎，批量处理，字幕导出 | Speech recognition & transcription with Whisper/Vosk engines, batch processing, su... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 52 次。
如何安装 Voice Transcriber Toolkit？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install voice-transcriber-toolkit」即可一键安装，无需额外配置。
Voice Transcriber Toolkit 是免费的吗？
是的，Voice Transcriber Toolkit 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Voice Transcriber Toolkit 支持哪些平台？
Voice Transcriber Toolkit 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 Voice Transcriber Toolkit？
由 Lv Lancer（@kaiyuelv）开发并维护，当前版本 v1.0.0。
推荐 Skills