Voice Chat Bridge

自动处理语音消息：将语音转写为文字，结合上下文生成智能回复，并合成语音回复。当收到语音或音频消息时自动激活。

Summary of what to check before installing: - Transparency: The skill metadata declares no required environment variables, but the code expects several (OPENCLAW_SESSION_ID, OPENCLAW_GATEWAY_URL, OPENCLAW_API_KEY, EDGE_TTS_BIN, VOSK_MODEL_DIR, SHERPA_MODEL_DIR, etc.). Treat that as a red flag — confirm with the author which env vars are required and why. - Paths and triggers: SKILL.md / README reference different install paths (/root/.agents/... vs /root/.openclaw/...). The runtime scripts call hard-coded absolute paths in docs; verify the actual installation location and update triggers (SOUL.md) to avoid accidental execution in the wrong context. - Session reuse: run_voice_chat.py can invoke the OpenClaw CLI using an OPENCLAW_SESSION_ID to reuse the current session's LLM context. If you provide a session id, the skill will operate with that session's context — only grant this to skills you fully trust. If unsure, do not set OPENCLAW_SESSION_ID and accept degraded behavior. - Model and dependency risks: The skill requires heavy native packages and large models (sherpa-onnx, downloaded model archives, Vosk). Install and run in an isolated environment (container/VM) and be prepared for large disk/CPU usage. The README instructs downloading models from GitHub releases (legitimate), but verify checksums if possible. - Network/data exfiltration: The code does not contain obvious exfiltration endpoints, but it can call external TTS services (Edge TTS) and will invoke system commands. Review and restrict EDGE_TTS_BIN if you want to force local-only TTS (pyttsx3) and avoid cloud TTS. - Least privilege: If you want to test, run the skill offline with Vosk and pyttsx3 only (set STT_ENGINE=vosk and EDGE_TTS_BIN unset), and do not provide OPENCLAW_SESSION_ID or any API keys. Run in a safe environment and confirm behavior before enabling automatic triggers in your live gateway. - If you are not comfortable with the undeclared env requirements and hard-coded path assumptions, treat this skill as untrusted and avoid granting it session-level credentials or enabling autonomous triggers until the author fixes the metadata and path inconsistencies.

Type: OpenClaw Skill Name: voice-chat Version: 2.3.5 The voice-chat skill provides a comprehensive bridge for processing voice messages using STT (Sherpa-ONNX and Vosk) and TTS (Edge-TTS and pyttsx3) engines. The code logic in scripts like `transcribe_audio.py` and `reply_with_tts.py` is well-structured, using subprocess calls to system utilities like ffmpeg and the openclaw CLI in a manner consistent with its stated purpose. The SKILL.md and README.md files provide clear, functional instructions for the AI agent to automate the voice-to-text-to-voice loop without any evidence of malicious prompt injection, data exfiltration, or unauthorized persistence.