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在 OpenClaw 中安装
/install telegram-whisper-transcribe
功能描述
Standalone Telegram bot for voice message transcription via OpenAI Whisper API. No LLM overhead — audio goes directly to Whisper and text comes back in 2-5 s...
安全使用建议
What to check before installing:
- Confirm TELEGRAM_BOT_TOKEN and OPENAI_API_KEY are provided; the registry metadata omits them but SKILL.md and scripts require them. Do not reuse an existing bot token used elsewhere (SKILL.md warns about single poller per bot).
- Be aware audio payloads are sent to OpenAI's Whisper API — this transmits users' audio to OpenAI. If that is a privacy concern, do not install or host in a controlled environment.
- The installer creates ~/transcribe-bot, a venv, and a user-level systemd service; review the files (bot.py, install.sh) and the .env handling. The .env file is written with chmod 600 but still resides on disk — consider alternative secret storage if needed.
- The install script installs dependencies from PyPI without pinned versions or hashes. Prefer pinning or reviewing latest package releases before running pip.
- This skill assumes a Unix-like system with Python 3 and systemd user services; it will not work as-is on Windows.
- If you want higher assurance: run the bot in an isolated user account or container, or inspect/modify the code to add explicit logging controls, dependency pins, and stricter temp-file handling.
Why I flagged this as suspicious: the functionality is coherent and the code is straightforward, but the registry metadata failing to declare required environment variables and runtime assumptions is an avoidable inconsistency that could cause accidental misconfiguration or concealment of required secrets. Fixing those metadata omissions or providing explicit package/version verification would raise my confidence to benign.
功能分析
Type: OpenClaw Skill
Name: telegram-whisper-transcribe
Version: 1.0.1
The skill installs a standalone Telegram bot for audio transcription using OpenAI Whisper. It establishes persistence on the host by creating and enabling a systemd user service (transcribe-bot.service) and manages sensitive credentials (TELEGRAM_BOT_TOKEN and OPENAI_API_KEY) by writing them to a local .env file. While the logic in scripts/bot.py and scripts/install.sh appears aligned with the stated purpose, the automated setup of a background service and the handling of secrets via command-line arguments in the installation script are high-risk behaviors.
能力评估
Purpose & Capability
Name and description (Telegram bot that forwards audio to OpenAI Whisper) align with the included code and instructions. However registry metadata claims no required env vars/binaries while SKILL.md and the scripts require TELEGRAM_BOT_TOKEN, OPENAI_API_KEY, Python, and systemd — an inconsistency that should be corrected.
Instruction Scope
SKILL.md and install.sh contain explicit, narrow instructions: copy files to ~/transcribe-bot, create a venv, pip install dependencies, write a .env containing the two keys, and create a systemd user service. The runtime code only downloads Telegram audio, sends it to OpenAI Whisper, returns the transcript, and cleans up temp files. It does not read unrelated system files or exfiltrate data to unexpected endpoints.
Install Mechanism
No opaque remote downloads; install.sh creates a venv and installs packages from PyPI (python-telegram-bot, openai). That is a standard approach, but the script does not pin package versions or verify hashes — consider pinning versions or reviewing dependency versions before install.
Credentials
The bot legitimately needs TELEGRAM_BOT_TOKEN and OPENAI_API_KEY (both used in code). Those environment variables are declared in SKILL.md but were not listed in the registry metadata; this mismatch could mislead users or automated checks. The bot will transmit audio to OpenAI (privacy implication) — users should consent to sending audio to Whisper.
Persistence & Privilege
The skill creates files under the installing user's home (~/transcribe-bot, a .env with 600 perms) and installs a systemd user service (systemctl --user). This is appropriate for a long-running user bot, but it does persist on the host and will auto-restart; ensure you want a persistent service and review the .env storage of secrets.
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 telegram-whisper-transcribe - 安装完成后,直接呼叫该 Skill 的名称或使用
/telegram-whisper-transcribe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
v1.0.1
Fix suspicious flag: declare env_vars (TELEGRAM_BOT_TOKEN, OPENAI_API_KEY) in SKILL.md frontmatter; use EnvironmentFile with chmod 600 instead of plaintext secrets in systemd service
v1.0.0
Initial release
元数据
常见问题
Telegram Whisper Transcribe 是什么?
Standalone Telegram bot for voice message transcription via OpenAI Whisper API. No LLM overhead — audio goes directly to Whisper and text comes back in 2-5 s... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 218 次。
如何安装 Telegram Whisper Transcribe?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install telegram-whisper-transcribe」即可一键安装,无需额外配置。
Telegram Whisper Transcribe 是免费的吗?
是的,Telegram Whisper Transcribe 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Telegram Whisper Transcribe 支持哪些平台?
Telegram Whisper Transcribe 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 Telegram Whisper Transcribe?
由 Xela(@xela-io)开发并维护,当前版本 v1.0.1。
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