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Speech to Text Transcription

作者 Iván · GitHub ↗ · v1.0.0
linuxdarwinwin32 ✓ 安全检测通过
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当前安装
1
版本数
在 OpenClaw 中安装
/install speech-to-text-transcription
功能描述
Transcribe audio and video files to text with speaker detection, timestamps, and format conversion.
安全使用建议
This skill appears coherent for transcription, but consider these before installing: (1) It will create ~/speech-to-text-transcription/, store transcripts there, and keep a memory.md with preferences—delete or encrypt that directory if you are transcribing sensitive audio. (2) Cloud transcription (OpenAI, AssemblyAI, Deepgram) will upload audio to third parties only if you choose those providers and set API keys; for sensitive material prefer local Whisper. (3) The skill may download URLs and write temp files during processing—ensure you trust source URLs. (4) The skill is instruction-only (no install script), but it suggests optionally running pip install openai-whisper to enable local transcription. (5) Confirm the agent prompts you before uploading any audio and review/clean the stored transcripts and memory if privacy is a concern.
功能分析
Type: OpenClaw Skill Name: speech-to-text-transcription Version: 1.0.0 The OpenClaw AgentSkills bundle for 'speech-to-text-transcription' is benign. All instructions and code snippets, including the use of `ffmpeg`, `curl` for cloud APIs (OpenAI, AssemblyAI), and `pip install openai-whisper`, are directly aligned with the stated purpose of transcribing audio and video files. The `SKILL.md` file provides clear security and privacy disclosures, explicitly stating what data leaves the machine and what stays local, and disclaims malicious behaviors like storing API keys in plain text or auto-uploading without confirmation. There is no evidence of prompt injection for malicious purposes, data exfiltration, persistence, or unauthorized remote control.
能力评估
Purpose & Capability
Name/description match the behavior: audio/video processing with ffmpeg, local Whisper or cloud providers (OpenAI, AssemblyAI, Deepgram). No unrelated binaries, env vars, or endpoints are requested.
Instruction Scope
Instructions cover verifying local files, downloading URLs to a temp folder, splitting/processing with ffmpeg, calling cloud transcription APIs only when chosen, and saving transcripts. A potential privacy note: the skill explicitly stores transcripts and a 'memory' file (provider preferences, usage patterns) under ~/speech-to-text-transcription/, and the guidance to 'learn from what they transcribe' could lead to persistent storage of sensitive metadata unless the user is explicit; otherwise the runtime instructions stay within the stated purpose.
Install Mechanism
This is instruction-only: there is no install script or arbitrary download. The SKILL.md suggests installing local Python Whisper via pip if desired, which is proportional and optional. No remote archives or opaque installs are invoked by the skill itself.
Credentials
No required environment variables. Optional API keys (OPENAI_API_KEY, ASSEMBLYAI_API_KEY, DEEPGRAM_API_KEY) are appropriate and proportional to enabling cloud providers; they are optional and documented.
Persistence & Privilege
The skill writes to its own directory in the user's home and persists transcripts and a memory.md file. It does not request system-wide privileges, nor is always:true set. Users should be aware of on-disk persistence of possibly sensitive content.
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 speech-to-text-transcription
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /speech-to-text-transcription 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
v1.0.0
Initial release with multi-provider support and batch processing.
元数据
Slug speech-to-text-transcription
版本 1.0.0
许可证
累计安装 3
当前安装数 3
历史版本数 1
常见问题

Speech to Text Transcription 是什么?

Transcribe audio and video files to text with speaker detection, timestamps, and format conversion. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 806 次。

如何安装 Speech to Text Transcription?

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

Speech to Text Transcription 是免费的吗?

是的,Speech to Text Transcription 完全免费(开源免费),可自由下载、安装和使用。

Speech to Text Transcription 支持哪些平台?

Speech to Text Transcription 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。

谁开发了 Speech to Text Transcription?

由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.0。

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