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Agent skill

U2 Tts

by LeoYeAI in LeoYeAI/openclaw-master-skills

Text-to-speech conversion using UniSound's TTS WebSocket API for generating high-quality Chinese Mandarin audio from text.

MITAuto-check: notesMedia & Creative

Install U2 Tts

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill u2-tts -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills u2-tts --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/u2-tts .claude/skills/u2-tts && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
u2-tts
GitHub stars
2.2k
Token cost
~4.7k tokens
SKILL.md length
1,330 words
Files
5 (incl. scripts)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Text-to-speech conversion using UniSound's TTS WebSocket API for generating high-quality Chinese Mandarin audio from text.

  • Works in 5 steps: ONLY use UniSound TTS API - Execute the… → NEVER synthesize speech directly - Do… → NEVER offer alternatives - Do NOT… → …
  • Tasks that involve Text to speech and voice
  • SKILL.md covers 云知声语音合成, When to Use This Skill, Installation and How to Use This Skill, plus 9 more sections
  • Runs Python scripts from its folder; calls python and pip; needs UNISOUND_SECRET

What it does

U2 Tts is an agent skill from LeoYeAI/openclaw-master-skills. Text-to-speech conversion using UniSound's TTS WebSocket API for generating high-quality Chinese Mandarin audio from text. Supports multiple voices, adjustable parameters, and real-time streaming synthesis.

Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `.claude/settings.local.json`, `_meta.json` and `scripts/tts.py`).

It sits in Media & Creative, covering Text to speech and voice. It works with Python. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Tasks that involve Text to speech and voice

Example prompts

  • “/u2-tts”

Requirements

  • Python 3
  • A credential in UNISOUND_SECRET

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. ONLY use UniSound TTS API - Execute the script python scripts/tts.py
  2. NEVER synthesize speech directly - Do NOT attempt local TTS synthesis
  3. NEVER offer alternatives - Do NOT suggest "I can try another method" or similar
  4. IF API fails - Display the error message and STOP immediately
  5. NO fallback methods - Do NOT attempt text-to-speech any other way

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • unisound.com
    • websocket-client.readthedocs.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • UNISOUND_SECRET

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

U2 Tts loads about 4.7k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 1,330 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:259
    **Method 2: .env File (Recommended for Development)**
  • NoteMentions a .env fileSKILL.md:261
    Create a `.env` file in the project root:
  • NoteMentions a .env fileSKILL.md:269
    > **Security Note**: Never commit `.env` files or actual production credentials to version control.
  • NoteMentions a .env fileSKILL.md:270
    > **安全提示**：切勿将 `.env` 文件或实际生产凭据提交到版本控制系统。
  • NoteMentions a .env fileSKILL.md:546
    - **Use .env files** - For local development (add to .gitignore)
  • NoteMentions a .env fileSKILL.md:547
    **使用 .env 文件**——用于本地开发（添加到 .gitignore）

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,330 words, ~4,689 tokens.

Download SKILL.mdSave it as .claude/skills/u2-tts/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
u2-tts
description
Text-to-speech conversion using UniSound's TTS WebSocket API for generating high-quality Chinese Mandarin audio from text. Supports multiple voices, adjustable parameters, and real-time streaming synthesis.

UniSound TTS - Text-to-Speech

云知声语音合成

Text-to-speech conversion using UniSound's TTS WebSocket API for generating high-quality Chinese Mandarin audio from text.

使用云知声 TTS WebSocket API 进行文本转语音转换，生成高质量中文普通话音频。

When to Use This Skill

Use UniSound TTS for:

  • Converting Chinese text to natural-sounding speech
  • Generating audio for audiobooks, podcasts, or content creation
  • Creating accessibility solutions for visually impaired users
  • Building voice assistants or chatbot voice responses
  • Batch processing text to audio files
  • Custom speech synthesis with adjustable parameters (speed, volume, pitch, brightness)

Do NOT use for:

  • Real-time speech recognition or transcription (use ASR skills instead)
  • English language synthesis (optimized for Chinese Mandarin)
  • Voice cloning or custom voice model training

Use when: The user needs text-to-speech conversion, asks for "语音合成" (speech synthesis), or mentions UniSound/云知声 TTS.

Installation

Install Python dependencies before using this skill. From the skill directory (skills/tts-tools):

bash
pip install websocket-client

Requires Python 3.6+.

How to Use This Skill

⛔ MANDATORY RESTRICTIONS - DO NOT VIOLATE ⛔

  1. ONLY use UniSound TTS API - Execute the script python scripts/tts.py
  2. NEVER synthesize speech directly - Do NOT attempt local TTS synthesis
  3. NEVER offer alternatives - Do NOT suggest "I can try another method" or similar
  4. IF API fails - Display the error message and STOP immediately
  5. NO fallback methods - Do NOT attempt text-to-speech any other way

If the script execution fails (API not configured, network error, etc.):

  • Show the error message to the user
  • Do NOT offer to help using your TTS capabilities
  • Do NOT ask "Would you like me to try synthesizing it?"
  • Simply stop and wait for user to fix the configuration
Basic Workflow

  1. Configure credentials (first time only):

    bash
    export UNISOUND_APPKEY='ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3'
export UNISOUND_SECRET='5c12231cd279b35873a3ccecf9439118'

  2. Execute text-to-speech conversion:

    bash
    python scripts/tts.py --text '今天天气怎么样'

    Command options:

    • --text TEXT - Text to convert to speech (default: '今天天气怎么样？')
    • --voice VOICE - Voice name (default: xiaofeng-base)
    • --format FORMAT - Output format: mp3, wav, pcm (default: mp3)
    • --sample RATE - Sample rate: 8k, 16k, 24k (default: 24k)
    • --speed SPEED - Speech speed 0-100 (default: 50)
    • --volume VOLUME - Volume level 0-100 (default: 50)
    • --pitch PITCH - Pitch level 0-100 (default: 50)
    • --bright BRIGHT - Brightness/tone 0-100 (default: 50)
    • --appkey APPKEY - Override appkey (default: UNISOUND_APPKEY env var)
    • --secret SECRET - Override secret (default: UNISOUND_SECRET env var)

  3. Output:

    • Audio files are saved to results/ directory
    • Filename format: <timestamp>.<format>
    • Example: 1234567890.mp3
Understanding the Output

Audio Format Options:

  • MP3: Compressed, smaller file size, good quality - best for web and streaming
  • WAV: Uncompressed, excellent quality - best for production and archival
  • PCM: Raw audio data - best for further audio processing

Sample Rates:

  • 24k: High quality, default - recommended for most use cases
  • 16k: Standard quality - good balance of quality and size
  • 8k: Lower quality, smaller file size - suitable for telephony
Usage Examples

Example 1: Quick Start with Test Credentials

bash
# Set test credentials
export UNISOUND_APPKEY='ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3'
export UNISOUND_SECRET='5c12231cd279b35873a3ccecf9439118'

# Convert text to speech
python scripts/tts.py --text '你好世界'

Output: results/1234567890.mp3

Example 2: Custom Voice and Format

bash
python scripts/tts.py --text '今天天气怎么样' --voice xiaofeng-base --format wav

Output: High-quality WAV file with male voice

Example 3: Adjusted Speech Parameters

bash
python scripts/tts.py --text '快速朗读' --speed 70 --volume 60 --pitch 50

Output: Faster speech with increased volume

Example 4: High-Quality Audio Production

bash
python scripts/tts.py --text '高质量音频' --format wav --sample 24k --volume 60

Output: Production-quality WAV file at 24kHz

Example 5: Command-line Credential Override

bash
python scripts/tts.py \
  --text '测试' \
  --appkey 'ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3' \
  --secret '5c12231cd279b35873a3ccecf9439118'
How It Works

The script uses the UniSound TTS WebSocket API with the following workflow:

  1. Authenticate using SHA256 signature (appkey + timestamp + secret) 使用 SHA256 签名进行身份验证
  2. Establish WebSocket connection to wss://ws-stts.hivoice.cn/v1/tts 建立 WebSocket 连接到云知声 TTS 服务
  3. Send TTS request with text and voice parameters 发送包含文本和语音参数的 TTS 请求
  4. Receive streaming audio data in binary chunks 以二进制块形式接收流式音频数据
  5. Save audio file to the results directory 将音频文件保存到结果目录
Available Voices
VoiceTypeDescription
xiaofeng-baseMaleStandard male voice, clear and natural
xiaoyanFemaleFemale voice options
xiaomeiFemaleAlternative female voice
Custom voicesVariousContact UniSound for more options
Adjustable Parameters
ParameterRangeDefaultDescription
speed0-10050Speech speed (50 = normal, higher = faster)
volume0-10050Volume level (50 = normal, higher = louder)
pitch0-10050Pitch level (50 = normal, higher = higher)
bright0-10050Brightness/tone (50 = normal)

Recommended settings:

  • Audiobooks: speed 45, pitch 50
  • News/announcements: speed 55, volume 60, bright 60
  • Accessibility: speed 35-40, volume 70
  • Normal conversation: speed 50, all parameters 50

First-Time Configuration

When credentials are not configured:

The script will show:

Error: AppKey and Secret are required!
Set them via --appkey/--secret arguments or UNISOUND_APPKEY/UNISOUND_SECRET environment variables.
Test Credentials

For testing and evaluation, use these credentials:

用于测试和评估，请使用以下凭据：

bash
export UNISOUND_APPKEY='ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3'
export UNISOUND_SECRET='5c12231cd279b35873a3ccecf9439118'

⚠️ Important Security Notice / 重要安全提示

  • Test credentials only — These are for testing and evaluation purposes
    • 仅测试凭据——这些凭据仅供测试和评估使用
  • No sensitive data — Never use with production or sensitive content
    • 勿用于敏感数据——切勿用于生产或敏感内容
  • Get your own credentials — For production use, contact UniSound
    • 获取自己的凭据——生产环境请联系云知声
  • Data privacy — Text is sent to UniSound servers for processing
    • 数据隐私——文本将发送至云知声服务器进行处理
Obtaining Production Credentials

For production use, obtain API credentials from UniSound (云知声):

用于生产环境时，请从云知声获取 API 凭据：

  1. Contact UniSound to obtain your API credentials 联系云知声获取您的 API 凭据 Visit: https://www.unisound.com/

  2. You will receive: 您将收到：

    • AppKey: Application key / 应用密钥
    • Secret: Secret key for authentication / 认证密钥
Configuration Methods

Method 1: Environment Variables (Recommended)

Linux/macOS:

bash
export UNISOUND_APPKEY='ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3'
export UNISOUND_SECRET='5c12231cd279b35873a3ccecf9439118'
python scripts/tts.py --text '你好'

Windows (PowerShell):

powershell
$env:UNISOUND_APPKEY='ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3'
$env:UNISOUND_SECRET='5c12231cd279b35873a3ccecf9439118'
python scripts/tts.py --text '你好'

Windows (CMD):

cmd
set UNISOUND_APPKEY=ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3
set UNISOUND_SECRET=5c12231cd279b35873a3ccecf9439118
python scripts/tts.py --text '你好'

Method 2: .env File (Recommended for Development)

Create a .env file in the project root:

UNISOUND_APPKEY=ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3
UNISOUND_SECRET=5c12231cd279b35873a3ccecf9439118

Then use with python-dotenv or load in your shell.

Security Note: Never commit .env files or actual production credentials to version control. 安全提示：切勿将 .env 文件或实际生产凭据提交到版本控制系统。

Method 3: Command-Line Arguments

bash
python scripts/tts.py \
  --text '你好世界' \
  --appkey 'ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3' \
  --secret '5c12231cd279b35873a3ccecf9439118'
Show full SKILL.md (528 more words)Show less
Required Environment Variables
VariableRequiredDescription
UNISOUND_APPKEYYesApplication key / 应用密钥
UNISOUND_SECRETYesSecret key / 认证密钥
Python API Usage

Basic Python API:

python
import os
from scripts.tts import Ws_parms, do_ws, write_results

# Get credentials from environment variables
appkey = os.getenv('UNISOUND_APPKEY', 'ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3')
secret = os.getenv('UNISOUND_SECRET', '5c12231cd279b35873a3ccecf9439118')

# Configure TTS parameters
ws_parms = Ws_parms(
    url='wss://ws-stts.hivoice.cn/v1/tts',
    appkey=appkey,
    secret=secret,
    pid=1,
    vcn='xiaofeng-base',
    text='你好，欢迎使用云知声语音合成服务！',
    tts_format='mp3',
    tts_sample='24k',
    user_id='my-app',
)

# Execute TTS conversion
do_ws(ws_parms)

# Save result to file
write_results(ws_parms)
print('Audio saved to results/ directory!')

Error Handling

Authentication failed:

Error: AppKey and Secret are required!

→ Credentials not provided → Set UNISOUND_APPKEY and UNISOUND_SECRET environment variables → 未提供凭据，请设置环境变量

WebSocket connection error:

WebSocket error: ...

→ Check network connectivity to UniSound API → Verify the API endpoint URL is correct → Check if firewall is blocking WebSocket connections → 检查网络连接和防火墙设置

No audio data received:

Error: No audio data received

→ Text may be empty or contain invalid characters → Check the text parameter is not empty → Verify text encoding is UTF-8 → Credentials may be invalid → 检查文本内容、编码和凭据

Invalid speech parameter:

Error: speed must be between 0 and 100, got 150

→ Speech parameters must be between 0 and 100 → 语音参数必须在 0 到 100 之间

WebSocket connection timeout:

WebSocket error: timeout

→ Network connection issue → API service may be temporarily unavailable → Check internet connection → 网络连接问题或服务暂时不可用

Advanced Usage

Custom Speech Parameters
python
import os
from scripts.tts import Ws_parms, do_ws, write_results

appkey = os.getenv('UNISOUND_APPKEY', 'ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3')
secret = os.getenv('UNISOUND_SECRET', '5c12231cd279b35873a3ccecf9439118')

ws_parms = Ws_parms(
    url='wss://ws-stts.hivoice.cn/v1/tts',
    appkey=appkey,
    secret=secret,
    pid=1,
    vcn='xiaofeng-base',
    text='这是自定义参数的语音合成示例',
    tts_format='wav',
    tts_sample='24k',
    user_id='demo',
)

# Customize speech parameters
ws_parms.tts_speed = 60   # Faster speech (0-100)
ws_parms.tts_volume = 70  # Louder volume (0-100)
ws_parms.tts_pitch = 40   # Lower pitch (0-100)
ws_parms.tts_bright = 60  # Brighter tone (0-100)

do_ws(ws_parms)
write_results(ws_parms)
Batch Text Processing
python
import os
from scripts.tts import Ws_parms, do_ws, write_results

def batch_tts(text_list):
    """Convert multiple texts to audio files"""
    appkey = os.getenv('UNISOUND_APPKEY', 'ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3')
    secret = os.getenv('UNISOUND_SECRET', '5c12231cd279b35873a3ccecf9439118')

    for i, text in enumerate(text_list):
        ws_parms = Ws_parms(
            url='wss://ws-stts.hivoice.cn/v1/tts',
            appkey=appkey,
            secret=secret,
            pid=i,
            vcn='xiaofeng-base',
            text=text,
            tts_format='mp3',
            tts_sample='24k',
            user_id=f'batch-{i}',
        )

        do_ws(ws_parms)
        write_results(ws_parms)
        print(f"Generated: {text[:30]}...")

# Usage
texts = [
    "第一段文字",
    "第二段文字",
    "第三段文字"
]
batch_tts(texts)
Audiobook Chapter Converter
python
import os
from scripts.tts import Ws_parms, do_ws, write_results

def convert_chapter(chapter_text, chapter_num, voice='xiaofeng-base'):
    """Convert a book chapter to audio file"""
    # Add chapter announcement
    intro = f"第{chapter_num}章。"
    full_text = intro + chapter_text

    appkey = os.getenv('UNISOUND_APPKEY', 'ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3')
    secret = os.getenv('UNISOUND_SECRET', '5c12231cd279b35873a3ccecf9439118')

    ws_parms = Ws_parms(
        url='wss://ws-stts.hivoice.cn/v1/tts',
        appkey=appkey,
        secret=secret,
        pid=chapter_num,
        vcn=voice,
        text=full_text,
        tts_format='mp3',
        tts_sample='24k',
        user_id=f'audiobook-ch{chapter_num}',
    )

    # Slower, clearer reading for books
    ws_parms.tts_speed = 45
    ws_parms.tts_pitch = 50

    do_ws(ws_parms)
    write_results(ws_parms)
    print(f"Chapter {chapter_num} converted")

# Usage
chapter = """这是第一章的内容。在一个阳光明媚的早晨，
主人公开始了他的冒险之旅。"""
convert_chapter(chapter, 1)
Accessibility Helper
python
import os
from scripts.tts import Ws_parms, do_ws, write_results

def accessibility_reader(text, speed='normal', voice='xiaofeng-base'):
    """
    Text-to-speech for accessibility (visually impaired users)
    with customizable reading speed
    """
    speed_map = {
        'slow': 35,
        'normal': 50,
        'fast': 65
    }

    appkey = os.getenv('UNISOUND_APPKEY', 'ce44uxf7g5eag2cv33qvlp5d22qrkgcezvgfp2q3')
    secret = os.getenv('UNISOUND_SECRET', '5c12231cd279b35873a3ccecf9439118')

    ws_parms = Ws_parms(
        url='wss://ws-stts.hivoice.cn/v1/tts',
        appkey=appkey,
        secret=secret,
        pid=1,
        vcn=voice,
        text=text,
        tts_format='mp3',
        tts_sample='24k',
        user_id='accessibility',
    )

    ws_parms.tts_speed = speed_map.get(speed, 50)
    ws_parms.tts_volume = 70  # Higher volume for accessibility

    do_ws(ws_parms)
    write_results(ws_parms)
    return ws_parms.tts_stream

# Usage
article = "这是一篇重要的新闻文章。"
accessibility_reader(article, speed='slow')

Important Notes

  • Chinese language optimized - Best results with Simplified Chinese text 中文优化——简体中文文本效果最佳
  • Requires stable internet connection for WebSocket streaming 需要稳定的网络连接进行 WebSocket 流式传输
  • Audio files saved locally - Check results/ directory for output 音频文件保存在本地——输出文件在 results/ 目录
  • Text encoding - Ensure text is UTF-8 encoded 文本编码——确保文本为 UTF-8 编码
  • Default sample rate is 24k - Higher quality than standard 16k 默认采样率为 24k——比标准 16k 质量更高
  • Test credentials - Provided for testing and evaluation only 测试凭据——提供的凭据仅供测试和评估使用

Security Best Practices

  • For testing - Use the provided test credentials 测试使用——使用提供的测试凭据
  • For production - Always obtain your own credentials from UniSound 生产环境——始终从云知声获取您自己的凭据
  • Use environment variables - Store credentials securely in environment variables 使用环境变量——安全地将凭据存储在环境变量中
  • Never hardcode credentials - Don't embed production credentials in code 切勿硬编码凭据——不要在代码中嵌入生产凭据
  • Use .env files - For local development (add to .gitignore) 使用 .env 文件——用于本地开发（添加到 .gitignore）
  • Rotate credentials regularly - In production environments 定期轮换凭据——在生产环境中

Troubleshooting

Issue: Script fails with import error → Ensure dependencies are installed: pip install websocket-client → Ensure using Python 3.6 or later → 确保安装依赖并使用 Python 3.6 或更高版本

Issue: "AppKey and Secret are required!" error → Set UNISOUND_APPKEY and UNISOUND_SECRET environment variables → Or use --appkey and --secret command-line arguments → 设置环境变量或使用命令行参数

Issue: Poor audio quality → Try using WAV format with 24k sample rate → Adjust speech parameters for your use case → 尝试使用 WAV 格式和 24k 采样率

Issue: WebSocket connection timeout → Check network connectivity → Verify firewall allows WebSocket connections → Check if API service is operational → 检查网络连接和防火墙设置

Issue: Generated audio sounds unnatural → Adjust speed parameter (try 45-55 range) → Check text for proper punctuation → Consider breaking long sentences into shorter ones → 调整语速参数和文本标点

Issue: Test credentials stopped working → Test credentials may have expiration or rate limits → Contact UniSound to obtain your own credentials → 测试凭据可能已过期或达到速率限制 → 请联系云知声获取您自己的凭据

Tips and Best Practices

  • For audiobooks: Use speed 45, add chapter announcements 有声读物：使用速度 45，添加章节说明
  • For accessibility: Use speed 35-40, higher volume (70) 无障碍应用：使用速度 35-40，更高音量（70）
  • For news: Use speed 55, brighter tone (60) 新闻播报：使用速度 55，更明亮的语调（60）
  • For batch processing: Implement delays between requests 批量处理：在请求之间实现延迟
  • For production: Add error handling and retry logic 生产环境：添加错误处理和重试逻辑
  • For best quality: Use 24k sample rate with WAV format 最佳质量：使用 24k 采样率和 WAV 格式

Reference Documentation

Load these reference documents when:

  • Debugging API connection issues
  • Understanding advanced features
  • Need detailed API parameter information

Authentication Details

The UniSound TTS API uses SHA256 signature-based authentication:

python
# Signature format (automatically generated by Ws_parms class)
# SHA256(appkey + timestamp + secret).upper()

# Manual signature example (if needed):
import hashlib
import time

def generate_signature(appkey, secret):
    timestamp = str(int(time.time() * 1000))
    hs = hashlib.sha256()
    hs.update((appkey + timestamp + secret).encode('utf-8'))
    signature = hs.hexdigest().upper()
    return timestamp, signature

WebSocket URL format:

wss://ws-stts.hivoice.cn/v1/tts?time={timestamp}&appkey={appkey}&sign={signature}

Note: API capabilities, available voices, and rate limits are determined by your UniSound TTS API service configuration and subscription plan. 注意：API 功能、可用语音和速率限制由您的云知声 TTS API 服务配置和订阅计划决定。

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts) in skills/u2-tts of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • .claude/settings.local.json
  • _meta.json
  • requirements.txt
  • scripts/tts.py

Open the folder on GitHubat commit e5199b5

Compare with similar skills

U2 Tts next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

U2 Tts compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
U2 Tts this skillLeoYeAI/openclaw-master-skills2.2k—~4.7kAutomated safety check: NotesMIT
Edu Math Videowy51ai/edulab1.4k—~2.5kAutomated safety check: NotesApache-2.0
Book Video Factorybytec-ai/book-video-factory321—~1.4kAutomated safety check: NotesNone
Narrator AI CLINarratorAI-Studio/narrator-ai-cli137—~3.7kAutomated safety check: PassMIT
AI Text To Speechgodot-fun/gai183—~2kAutomated safety check: PassMIT
Iflytek Voiceclone Ttsiflytek/iFly-Skills209—~2.1kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about U2 Tts

What does U2 Tts do?

Text-to-speech conversion using UniSound's TTS WebSocket API for generating high-quality Chinese Mandarin audio from text. U2 Tts is an agent skill from LeoYeAI/openclaw-master-skills. Text-to-speech conversion using UniSound's TTS WebSocket API for generating high-quality Chinese Mandarin audio from text.

When should I use U2 Tts?

U2 Tts fits situations like: tasks that involve Text to speech and voice.

How do I install U2 Tts in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill u2-tts -a claude-code`. Or copy the skill folder (skills/u2-tts in LeoYeAI/openclaw-master-skills) into .claude/skills/u2-tts in your project. Claude Code loads it when a task matches its description.

How do I install U2 Tts in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill u2-tts -a codex`. Or copy the skill folder (skills/u2-tts in LeoYeAI/openclaw-master-skills) into .agents/skills/u2-tts in your project. Codex loads it when a task matches its description.

Can I use U2 Tts in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill u2-tts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/u2-tts, .gemini/skills/u2-tts, .github/skills/u2-tts and .opencode/skills/u2-tts in your project.

What does U2 Tts need to run?

Going by SKILL.md and its folder, U2 Tts needs Python for the scripts in its folder, the command-line tools its instructions call (python and pip) and credentials named UNISOUND_SECRET. Our summary lists: Python 3; A credential in UNISOUND_SECRET.

Does U2 Tts access the network?

SKILL.md names 2 domains. As links in the text: unisound.com and websocket-client.readthedocs.io. This is read from the text; nothing was executed.

Is U2 Tts safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does U2 Tts use?

U2 Tts is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does U2 Tts use?

About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to U2 Tts?

Skills that share tags, products or a category with U2 Tts: Edu Math Video (wy51ai/edulab, 1.4k stars), Book Video Factory (bytec-ai/book-video-factory, 321 stars), Narrator AI CLI (NarratorAI-Studio/narrator-ai-cli, 137 stars) and AI Text To Speech (godot-fun/gai, 183 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains U2 Tts?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.