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Install in OpenClaw
/install voice-for-openclaw
Description
MiniMax TTS skill (enhanced). Multi-agent voice support (each agent can select a unique voice written in SOUL.md), native voice message for Telegram (MP3) an...
Usage Guidance
This skill appears to do only TTS via MiniMax and optional channel delivery. Before installing: (1) keep MINIMAX_API_KEY and any TELEGRAM_BOT_TOKEN in the local .env (do not commit it); (2) review the scripts yourself (they are included) to confirm behavior; (3) note generated audio is written to ~/.openclaw/workspace/generated — delete files if they contain sensitive content; (4) if you will use Telegram sending, provide a bot token with only the required access and verify target chat IDs; (5) confirm the API endpoint (api.minimaxi.com) is acceptable for your data/privacy needs.
Capability Analysis
Type: OpenClaw Skill
Name: voice-for-openclaw
Version: 1.0.2
The skill provides Text-to-Speech (TTS) functionality using the MiniMax API, with support for sending voice messages to Telegram and Feishu. The implementation consists of a Python script (tts.py) for API interaction and a shell script (tts-xiaoye.sh) for workflow orchestration and channel delivery. All network activities are directed to legitimate endpoints (api.minimaxi.com and api.telegram.org), and sensitive credentials like API keys are handled via environment variables or a local .env file as described in the documentation.
Capability Assessment
Purpose & Capability
Name/description, required binaries (python3, ffmpeg), and required env (MINIMAX_API_KEY) match an API-driven TTS skill that can optionally send to Telegram. Optional TELEGRAM_* vars are explained as optional for message delivery.
Instruction Scope
Instructions and scripts only call the MiniMax TTS endpoint and (optionally) Telegram/Feishu delivery paths, read a local .env and write audio files under ~/.openclaw/workspace. They do export .env keys at runtime and show examples invoking 'openclaw message send' for Feishu; these are within the stated TTS/delivery scope but users should be aware audio files and credentials are read/stored locally.
Install Mechanism
No install spec or external downloads. The skill is instruction/code-only and relies on standard binaries (python3, ffmpeg) and Python requests — no arbitrary network installs or remote archives.
Credentials
Only the MiniMax API key is required; optional Telegram vars are clearly optional. No unrelated cloud credentials or broad-scoped secrets are requested.
Persistence & Privilege
always is false and the skill does not request elevated platform privileges or modify other skills. It writes audio files under the user's workspace (~/.openclaw/workspace) which is expected for generated content.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install voice-for-openclaw - After installation, invoke the skill by name or use
/voice-for-openclaw - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
Fix tts.py and tts-xiaoye.sh skill path references
v1.0.1
Fix skill path references to match folder name
v1.0.0
Initial release: MiniMax TTS skill renamed to Voice-for-OpenClaw
Metadata
Frequently Asked Questions
What is Voice For Openclaw Publish?
MiniMax TTS skill (enhanced). Multi-agent voice support (each agent can select a unique voice written in SOUL.md), native voice message for Telegram (MP3) an... It is an AI Agent Skill for Claude Code / OpenClaw, with 166 downloads so far.
How do I install Voice For Openclaw Publish?
Run "/install voice-for-openclaw" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Voice For Openclaw Publish free?
Yes, Voice For Openclaw Publish is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Voice For Openclaw Publish support?
Voice For Openclaw Publish is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Voice For Openclaw Publish?
It is built and maintained by vshen009 (@vshen009); the current version is v1.0.2.
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