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Voice Note Transcriber Cn
作者
huyong2023
· GitHub ↗
· v1.1.0
381
总下载
0
收藏
2
当前安装
2
版本数
在 OpenClaw 中安装
/install voice-note-transcriber-cn
功能描述
语音笔记转文字工具 v2.1 | Voice Note Transcriber. 支持多语言识别、实时转写、说话人识别、智能摘要、音频降噪、离线识别。触发词：转写、识别、语音。
安全使用建议
This skill looks like a normal transcription helper, but there are two things to confirm before installing or using it: (1) clarify the required binaries — SKILL.md lists ffmpeg and whisper but the registry metadata does not; ensure you or the operator install ffmpeg and a trusted whisper implementation from official sources. (2) the skill refers to downloading offline models but gives no URLs or integrity checks — ask the author for exact model download URLs and checksums, or only use models from trusted vendors (official GitHub releases, vendor CDN). Avoid giving any credentials. If you must try it, run it in a sandboxed environment and verify any downloaded model binaries before use.
功能分析
Type: OpenClaw Skill
Name: voice-note-transcriber-cn
Version: 1.1.0
The skill bundle consists entirely of metadata and descriptive documentation (SKILL.md and SKILL_v1.1.md) for a voice transcription tool. It lacks any executable code or scripts. The documentation outlines features such as multi-language support and speaker identification using standard dependencies like ffmpeg and whisper. No indicators of data exfiltration, unauthorized execution, or malicious prompt injection were found.
能力评估
Purpose & Capability
The SKILL.md clearly describes a transcription tool (real-time, speaker diarization, denoise, offline models) — that purpose matches the content. However there is an inconsistency: the repository/registry metadata you provided lists no required binaries, while the SKILL.md metadata (YAML header) declares required binaries: [ffmpeg, whisper]. Requiring ffmpeg/whisper is reasonable for this purpose, but the mismatch between the registry-level requirements and the SKILL.md is incoherent and worth clarifying.
Instruction Scope
The instructions are high-level and stay within transcription-related activities (preprocessing audio, recognition, speaker labeling, model download). They do not instruct the agent to read unrelated system files or env vars. However the SKILL.md references downloading offline models and switching to offline mode without specifying trusted download URLs or checksums — this vagueness could permit arbitrary network downloads or use of untrusted model files if the agent follows the instructions.
Install Mechanism
There is no install spec and no code files (instruction-only), which minimizes direct installation risk. That said, the skill expects local binaries (ffmpeg, whisper) but does not provide an install mechanism or verified sources for offline models, so the agent/operator would need to fetch/install those external components manually — a place where risk can be introduced if instructions are followed from untrusted sources.
Credentials
The skill does not request any environment variables or credentials (reasonable for a local transcription tool). The only notable requirement is binaries/models. Because offline models are mentioned, the skill implicitly needs disk/network access to store model files — this is proportional to the purpose but should be explicitly declared and tied to verified sources.
Persistence & Privilege
The skill does not request always:true, does not specify modifying system-wide config, and declares no config paths or credentials. Its privilege/scope is limited to being invoked by the agent when used.
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-note-transcriber-cn - 安装完成后，直接呼叫该 Skill 的名称或使用
/voice-note-transcriber-cn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
v1.1.0
Major update with new features and improvements:
- Added support for 50+ languages, enhanced multi-language and mixed-language recognition.
- Introduced real-time transcription with live text display and smart punctuation.
- Added speaker diarization to distinguish and label multiple speakers.
- Integrated intelligent summarization, including action items and meeting decisions.
- Implemented audio noise reduction for clearer transcriptions.
- Enabled offline transcription mode for privacy and no-network use.
- Expanded supported formats and detailed usage examples throughout documentation.
v1.0.0
Initial release of voice-note-transcriber-cn.
- 支持实时语音转文字、多语言识别、自动生成会议纪要。
- 覆盖多种语言：中文、英语、日语、韩语、法语、德语。
- 付费功能包括：无限转写、多语言支持、团队共享和高级会议纪要。
元数据
常见问题
Voice Note Transcriber Cn 是什么？
语音笔记转文字工具 v2.1 | Voice Note Transcriber. 支持多语言识别、实时转写、说话人识别、智能摘要、音频降噪、离线识别。触发词：转写、识别、语音。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 381 次。
如何安装 Voice Note Transcriber Cn？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install voice-note-transcriber-cn」即可一键安装，无需额外配置。
Voice Note Transcriber Cn 是免费的吗？
是的，Voice Note Transcriber Cn 完全免费（开源免费），可自由下载、安装和使用。
Voice Note Transcriber Cn 支持哪些平台？
Voice Note Transcriber Cn 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 Note Transcriber Cn？
由 huyong2023（@huyong2023）开发并维护，当前版本 v1.1.0。
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