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Agent Skill · 开发

noizai-tts(诺伊扎伊 tts)

noizai-tts 用于处理音频、语音、转写和声音素材相关任务,适合在 OpenClaw 中需要整理音频流程、转写内容或生成配音素材时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

noizai-tts 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 2,355。

总安装 17,922周安装 725GitHub Stars 1下载 5,626核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.3

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:noizai-tts(诺伊扎伊 tts)
来源仓库:https://github.com/ksuriuri/noizai-tts
安装命令:
openclaw skills install noizai-tts
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install noizai-tts

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

将文本转换为高质量语音,支持画外音与旁白生成。noizai-tts 属于开发类 Skill,可作为该场景下的辅助能力补充。适用于播客、视频教程、有声读物等多媒体内容配音。可自定义语速、音高与音色参数,适配不同语言风格。通过 clawhub 安装,专为 OpenClaw 环境设计。

涉及人声克隆或商业发布时,必须获得原始录音授权并遵守平台政策。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install noizai-tts;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

noizai-tts 怎么安装?

在终端执行 openclaw skills install noizai-tts。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

noizai-tts 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

noizai-tts 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

noizai-tts 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

noizai-tts 用的人多吗?

公开数据是累计安装 17,922 次,近一周安装 725 次,下载 5,626 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

noizai-tts 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
noizai-tts

诺伊扎伊 tts · 本页

17,9221接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
tts
description
Use this skill whenever the user wants to convert text into speech, generate audio from text, or produce voiceovers. Triggers include: any mention of 'TTS', 'text to speech', 'speak', 'say', 'voice', 'read aloud', 'audio narration', 'voiceover', 'dubbing', or requests to turn written content into spoken audio. Also use when converting EPUB/PDF/SRT/articles to audio, cloning voices from reference audio, controlling emotion or speed in speech, aligning speech to subtitle timelines, or producing per-segment voice-mapped audio.
permissions
metadata
{"openclaw": {"primaryEnv": "NOIZ_API_KEY"}}

tts

Convert any text into speech audio. Supports two backends (Kokoro local, Noiz cloud), two modes (simple or timeline-accurate), and per-segment voice control.

Triggers

  • text to speech / tts / speak / say
  • voice clone / dubbing
  • epub to audio / srt to audio / convert to audio
  • 语音 / 说 / 讲 / 说话

Simple Mode — text to audio

speak is the default — the subcommand can be omitted:

# Basic usage (speak is implicit)
python3 skills/tts/scripts/tts.py -t "Hello world"          # add -o path to save
python3 skills/tts/scripts/tts.py -f article.txt -o out.mp3

# Voice cloning — local file path or URL
python3 skills/tts/scripts/tts.py -t "Hello" --ref-audio ./ref.wav
python3 skills/tts/scripts/tts.py -t "Hello" --ref-audio https://example.com/my_voice.wav -o clone.wav

# Voice message format
python3 skills/tts/scripts/tts.py -t "Hello" --format opus -o voice.opus
python3 skills/tts/scripts/tts.py -t "Hello" --format ogg -o voice.ogg

Third-party integration (Feishu/Telegram/Discord) is documented in ref_3rd_party.md.

Timeline Mode — SRT to time-aligned audio

For precise per-segment timing (dubbing, subtitles, video narration).

Step 1: Get or create an SRT

If the user doesn't have one, generate from text:

python3 skills/tts/scripts/tts.py to-srt -i article.txt -o article.srt
python3 skills/tts/scripts/tts.py to-srt -i article.txt -o article.srt --cps 15 --gap 500

--cps = characters per second (default 4, good for Chinese; ~15 for English). The agent can also write SRT manually.

Step 2: Create a voice map

JSON file controlling default + per-segment voice settings. segments keys support single index "3" or range "5-8".

Kokoro voice map:

{
  "default": { "voice": "zf_xiaoni", "lang": "cmn" },
  "segments": {
    "1": { "voice": "zm_yunxi" },
    "5-8": { "voice": "af_sarah", "lang": "en-us", "speed": 0.9 }
  }
}

Noiz voice map (adds emo, reference_audio support). reference_audio can be a local path or a URL (user’s own audio; Noiz only):

{
  "default": { "voice_id": "voice_123", "target_lang": "zh" },
  "segments": {
    "1": { "voice_id": "voice_host", "emo": { "Joy": 0.6 } },
    "2-4": { "reference_audio": "./refs/guest.wav" }
  }
}

Dynamic Reference Audio Slicing: If you are translating or dubbing a video and want each sentence to automatically use the audio from the original video at the exact same timestamp as its reference audio, use the --ref-audio-track argument instead of setting reference_audio in the map:

python3 skills/tts/scripts/tts.py render --srt input.srt --voice-map vm.json --ref-audio-track original_video.mp4 -o output.wav

See examples/ for full samples.

Step 3: Render

python3 skills/tts/scripts/tts.py render --srt input.srt --voice-map vm.json -o output.wav
python3 skills/tts/scripts/tts.py render --srt input.srt --voice-map vm.json --backend noiz --auto-emotion -o output.wav

When to Choose Which

NeedRecommended
Just read text aloud, no fussKokoro (default)
EPUB/PDF audiobook with chaptersKokoro (native support)
Voice blending ("v1:60,v2:40")Kokoro
Voice cloning from reference audioNoiz
Emotion control (emo param)Noiz
Exact server-side duration per segmentNoiz
When the user needs emotion control + voice cloning + precise duration together, Noiz is the only backend that supports all three.

Guest Mode (no API key)

When no API key is configured, tts.py automatically falls back to guest mode — a limited Noiz endpoint that requires no authentication. Guest mode only supports --voice-id, --speed, and --format; voice cloning, emotion, duration, and timeline rendering are not available.

# Guest mode (auto-detected when no API key is set)
python3 skills/tts/scripts/tts.py -t "Hello" --voice-id 883b6b7c -o hello.wav

# Explicit backend override to use kokoro instead
python3 skills/tts/scripts/tts.py -t "Hello" --backend kokoro

Available guest voices (15 built-in):

voice_idnamelanggendertone
063a4491販売員(なおみ)jaF喜び
4252b9c8落ち着いた女性jaF穏やか
578b4be2熱血漢(たける)jaM怒り
a9249ce7安らぎ(みなと)jaM穏やか
f00e45a1旅人(かいと)jaM穏やか
b4775100悦悦|社交分享zhFJoyful
77e15f2c婉青|情绪抚慰zhFCalm
ac09aeb4阿豪|磁性主持zhMCalm
87cb2405建国|知识科普zhMCalm
3b9f1e27小明|科技达人zhMJoyful
95814addScience NarrationenMCalm
883b6b7cThe Mentor (Alex)enMJoyful
a845c7deThe Naturalist (Silas)enMCalm
5a68d66bThe Healer (Serena)enFCalm
0e4ab6ecThe Mentor (Maya)enFCalm

Security & data disclosure

This skill performs the following file and network operations at runtime:

  • Credential storage: When you run config --set-api-key, the key is saved to ~/.config/noiz/api_key (permissions 0600). The NOIZ_API_KEY environment variable is also supported as an alternative.
  • Legacy key migration: If ~/.noiz_api_key exists and ~/.config/noiz/api_key does not, the key is copied (not deleted) to the new location. A message is printed; the old file is left untouched for you to remove manually.
  • Network calls (Noiz backend): Text and optional reference audio are uploaded to https://noiz.ai/v1/ for synthesis. No data is sent unless you invoke a Noiz command.
  • Reference audio download: When --ref-audio is a URL, the file is downloaded to a temp file, used for the API call, then deleted. If no voice-id or ref-audio is provided, a default reference audio is downloaded from storage.googleapis.com or noiz.ai.
  • Temp files: Temporary audio/text files may be created during synthesis and are cleaned up after use.
  • ffmpeg: Invoked only in timeline render mode to assemble the final audio.

No files outside the output path and ~/.config/noiz/ are modified. The Kokoro backend runs entirely offline with no network access.

Requirements

  • ffmpeg in PATH (timeline mode only)
  • requests package: uv pip install requests (required for Noiz backend)
  • Get your API key at Noiz Developer, then run python3 skills/tts/scripts/tts.py config --set-api-key YOUR_KEY (guest mode works without a key but has limited features)
  • Kokoro: if already installed, pass --backend kokoro to use the local backend

Noiz API authentication

Use only the base64-encoded API key as Authorization—no prefix (e.g. no APIKEY or Bearer ). Any prefix causes 401.

For backend details and full argument reference, see reference.md.

平台分布

OpenClaw

97.06%
按下载量换算5,461

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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