技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v0.1.0
统计：⭐ 1 · 2.1k · 9 current installs · 9 all-time installs
⭐ 1
安装量（当前） 9
🛡 VirusTotal ：良性 · OpenClaw ：可疑
Package：clawdbot-skill-voice-wake-say
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：可疑
OpenClaw 评估
The skill's behavior (use of macOS 'say' for local TTS) matches its stated purpose, but there are small but important inconsistencies (missing declared OS/binary requirements and undeclared env vars) that should be addressed before trustfully installing.
目的
The skill's stated purpose (speaking responses on macOS using the built-in 'say' command) aligns with the runtime instructions. However, the metadata does not declare an OS restriction or list 'say' as a required binary — a mismatch: the skill will only work on macOS with the 'say' binary present.
说明范围
The SKILL.md confines actions to checking the latest message for a precise trigger phrase and running a local 'printf | say' command; it does not instruct reading unrelated files or contacting external endpoints. It does reference optional environment variables (SAY_VOICE, SAY_RATE) that are not declared in the skill metadata. The strict requirement to only check the latest message and ignore context is unusual but not inherently malicious.
安装机制
Instruction-only skill with no install steps and no code files — low installation risk (nothing is written to disk).
证书
The skill declares no required environment variables or credentials (appropriate for a local TTS helper). It nonetheless references optional env names (SAY_VOICE, SAY_RATE) in SKILL.md that are not declared; this is an inconsistency to be corrected but not by itself suspicious.
持久
always is false and there is no install-time persistence or modification of other skills or system-wide configuration. Model invocation is allowed (normal); the skill can be called autonomously, but its trigger is narrowly scoped to a user message prefix.
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Voice Wake Say TTS Responses (Native)」。简介：Speak responses aloud on macOS using the built-in `say` command when user input…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/xadenryan/clawdbot-skill-voice-wake-say/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: voice-wake-say
description: Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "User talked via voice recognition on <device>").
---
# Voice Wake Say
## Overview
Use macOS `say` to read the assistant's response out loud whenever the conversation came from Voice Wake/voice recognition. Do **not** use the `tts` tool (it calls cloud providers).
## When to Use `say` (CHECK EVERY MESSAGE INDIVIDUALLY)
**IF** the user message STARTS WITH: `User talked via voice recognition on m3`
- **Step 1:** Acknowledge with `say` first (so the user knows you heard them)
- **Step 2:** Then perform the task
- **Step 3:** Optionally speak again when done if it makes sense
**IF** the user message does NOT start with that exact phrase
- THEN: Do NOT use `say`. Text-only response only.
**Critical:**
- Check EACH message individually — context does NOT carry over
- The trigger phrase must be at the VERY START of the message
- For tasks that take time, acknowledge FIRST so the user knows you're working
## Workflow
1) Detect Voice Wake context
- Trigger ONLY when the latest user/system message STARTS WITH `User talked via voice recognition on m3`
- If the message instructs "repeat prompt first", keep that behavior in the response.
2) Prepare spoken text
- Use the final response text as the basis.
- Strip markdown/code blocks; if the response is long or code-heavy, speak a short summary and mention that details are on screen.
3) Speak with `say` (local macOS TTS)
```bash
printf '%s' "$SPOKEN_TEXT" | say
```
Optional controls (use only if set):
```bash
printf '%s' "$SPOKEN_TEXT" | say -v "$SAY_VOICE"
printf '%s' "$SPOKEN_TEXT" | say -r "$SAY_RATE"
```
## Failure handling
- If `say` is unavailable or errors, still send the text response and note that TTS failed.