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Agent Skill · 研究检索

modelslab-audio-generation(modelslab 音频生成)

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

modelslab-audio-generation 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 49,707。

总安装 642周安装 27GitHub Stars 7下载 225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
unknown

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:modelslab-audio-generation(modelslab 音频生成)
来源仓库:https://github.com/modelslab/skills
仓库路径:skills/modelslab-audio-generation
安装命令:
npx skills add https://github.com/modelslab/skills --skill modelslab-audio-generation
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/modelslab/skills --skill modelslab-audio-generation

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助音频处理和语音合成任务。modelslab-audio-generation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合生成配乐说明或处理播客配音素材。使用时需确认输入音频来源和版权授权。涉及人声克隆时应特别注意合规边界。通过 GitHub 安装,建议检查仓库活跃度。

来源仓库内路径:skills/modelslab-audio-generation

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/modelslab/skills --skill modelslab-audio-gener…;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

modelslab-audio-generation 怎么安装?

在终端执行 npx skills add https://github.com/modelslab/skills --skill modelslab-audio-generation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

modelslab-audio-generation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

modelslab-audio-generation 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。

modelslab-audio-generation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

modelslab-audio-generation 用的人多吗?

公开数据是累计安装 642 次,近一周安装 27 次,下载 225 次,GitHub 7 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。

modelslab-audio-generation 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

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。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
modelslab-audio-generation

modelslab 音频生成 · 本页

6427接触敏感数据未明确未通过

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

ModelsLab Audio Generation

Generate high-quality audio including speech, music, voice conversion, sound effects, and dubbing using AI.

When to Use This Skill

  • Convert text to natural-sounding speech (TTS)
  • Transcribe speech to text
  • Transform voice characteristics (speech-to-speech)
  • Generate music from text prompts
  • Create sound effects
  • Dub audio into different languages
  • Extend or inpaint songs
  • Build voice assistants or audiobooks

Available APIs (v7)

Voice Endpoints

  • Text to Speech: POST https://modelslab.com/api/v7/voice/text-to-speech
  • Speech to Text: POST https://modelslab.com/api/v7/voice/speech-to-text
  • Speech to Speech: POST https://modelslab.com/api/v7/voice/speech-to-speech
  • Music Generation: POST https://modelslab.com/api/v7/voice/music-gen
  • Sound Generation: POST https://modelslab.com/api/v7/voice/sound-generation
  • Create Dubbing: POST https://modelslab.com/api/v7/voice/create-dubbing
  • Song Extender: POST https://modelslab.com/api/v7/voice/song-extender
  • Song Inpaint: POST https://modelslab.com/api/v7/voice/song-inpaint
  • Fetch Result: POST https://modelslab.com/api/v7/voice/fetch/{id}
Note: v6 endpoints (/api/v6/voice/text_to_speech, etc.) still work but v7 is the current version. Parameter names have changed in v7 (e.g., text is now prompt, audio is now init_audio).

Discovering Audio Models

# Search audio/voice models
modelslab models search --feature audio_gen

# Search by provider
modelslab models search --search "eleven"

# Get model details
modelslab models detail --id eleven_multilingual_v2

Audio Model IDs

model_idNameUse With
eleven_multilingual_v2ElevenLabs Multilingual v2text-to-speech
eleven_english_sts_v2ElevenLabs Voice Changerspeech-to-speech
scribe_v1ElevenLabs Scribespeech-to-text
eleven_sound_effectElevenLabs Sound Effectssound-generation
music_v1ElevenLabs Musicmusic-gen
inworld-tts-1Inworld TTStext-to-speech

Text to Speech

import requests
import time

def text_to_speech(text, api_key, voice_id="21m00Tcm4TlvDq8ikWAM", model_id="eleven_multilingual_v2"):
    """Convert text to speech.

    Args:
        text: The text to convert to speech
        api_key: Your ModelsLab API key
        voice_id: ElevenLabs voice ID (see Available Voices below)
        model_id: TTS model to use
    """
    response = requests.post(
        "https://modelslab.com/api/v7/voice/text-to-speech",
        json={
            "key": api_key,
            "prompt": text,             # v7 uses "prompt" not "text"
            "voice_id": voice_id,
            "model_id": model_id
        }
    )

    data = response.json()

    if data["status"] == "success":
        return data["output"][0]
    elif data["status"] == "processing":
        return poll_audio_result(data["id"], api_key)
    else:
        raise Exception(f"Error: {data.get('message', 'Unknown error')}")

# Usage
audio_url = text_to_speech(
    "Hello! Welcome to ModelsLab. This is a test of our text-to-speech API.",
    "your_api_key"
)
print(f"Audio URL: {audio_url}")

Speech to Text (Transcription)

def speech_to_text(audio_url, api_key, model_id="scribe_v1"):
    """Transcribe speech from audio to text.

    Args:
        audio_url: URL of audio file (must be publicly accessible)
        model_id: STT model to use
    """
    response = requests.post(
        "https://modelslab.com/api/v7/voice/speech-to-text",
        json={
            "key": api_key,
            "init_audio": audio_url,    # v7 uses "init_audio" not "audio"
            "model_id": model_id
        }
    )

    data = response.json()

    if data["status"] == "success":
        return data["output"][0]
    elif data["status"] == "processing":
        return poll_audio_result(data["id"], api_key)
    else:
        raise Exception(data.get("message"))

# Transcribe audio
result = speech_to_text(
    "https://example.com/speech.mp3",
    "your_api_key"
)
print(f"Transcription: {result}")

Speech to Speech (Voice Conversion)

def speech_to_speech(audio_url, voice_id, api_key, model_id="eleven_english_sts_v2"):
    """Convert voice characteristics in audio.

    Args:
        audio_url: URL of the source audio
        voice_id: Target ElevenLabs voice ID
        model_id: Voice conversion model
    """
    response = requests.post(
        "https://modelslab.com/api/v7/voice/speech-to-speech",
        json={
            "key": api_key,
            "init_audio": audio_url,
            "voice_id": voice_id,
            "model_id": model_id
        }
    )

    data = response.json()
    if data["status"] == "success":
        return data["output"][0]
    elif data["status"] == "processing":
        return poll_audio_result(data["id"], api_key)

Sound Effects Generation

def generate_sound_effect(description, api_key, model_id="eleven_sound_effect"):
    """Generate a sound effect from a text description.

    Args:
        description: What sound to generate
        model_id: Sound effects model
    """
    response = requests.post(
        "https://modelslab.com/api/v7/voice/sound-generation",
        json={
            "key": api_key,
            "prompt": description,
            "model_id": model_id
        }
    )

    data = response.json()
    if data["status"] == "success":
        return data["output"][0]
    elif data["status"] == "processing":
        return poll_audio_result(data["id"], api_key)

# Generate door slam sound
sfx_url = generate_sound_effect(
    "Heavy wooden door slamming shut",
    "your_api_key"
)

Music Generation

def generate_music(prompt, api_key, model_id="music_v1"):
    """Generate music from a text description.

    Args:
        prompt: Description of music style/mood
        model_id: Music generation model
    """
    response = requests.post(
        "https://modelslab.com/api/v7/voice/music-gen",
        json={
            "key": api_key,
            "prompt": prompt,
            "model_id": model_id
        }
    )

    data = response.json()
    if data["status"] == "success":
        return data["output"][0]
    elif data["status"] == "processing":
        return poll_audio_result(data["id"], api_key)

# Generate background music
music_url = generate_music(
    "Upbeat electronic music with a driving beat, perfect for a tech startup video",
    "your_api_key"
)
print(f"Music: {music_url}")

Polling for Async Results

def poll_audio_result(request_id, api_key, timeout=300):
    """Poll for async audio generation results."""
    start_time = time.time()

    while time.time() - start_time < timeout:
        fetch = requests.post(
            f"https://modelslab.com/api/v7/voice/fetch/{request_id}",
            json={"key": api_key}
        )
        result = fetch.json()

        if result["status"] == "success":
            return result["output"][0]
        elif result["status"] == "failed":
            raise Exception(result.get("message", "Generation failed"))

        time.sleep(5)

    raise Exception("Timeout waiting for audio generation")

Available ElevenLabs Voice IDs

Voice IDNameStyle
21m00Tcm4TlvDq8ikWAMRachelNeutral, calm
AZnzlk1XvdvUeBnXmlldDomiConfident
EXAVITQu4vr4xnSDxMaLBellaSoft, warm
ErXwobaYiN019PkySvjVAntoniWell-rounded
MF3mGyEYCl7XYWbV9V6OElliYoung, clear
TxGEqnHWrfWFTfGW9XjXJoshDeep, warm
VR6AewLTigWG4xSOukaGArnoldStrong
pNInz6obpgDQGcFmaJgBAdamDeep, narrative
yoZ06aMxZJJ28mfd3POQSamDynamic

Key Parameters

Text to Speech

ParameterTypeRequiredDescription
promptstringYesText to convert to speech
voice_idstringYesElevenLabs voice identifier
model_idstringYesTTS model (e.g., eleven_multilingual_v2)
temperaturefloatNoVoice variation
webhookstringNoAsync notification URL

Speech to Text

ParameterTypeRequiredDescription
init_audiostringYesURL of audio to transcribe
model_idstringYesSTT model (e.g., scribe_v1)

Sound Generation

ParameterTypeRequiredDescription
promptstringYesSound effect description
model_idstringYesSFX model (e.g., eleven_sound_effect)

v6 to v7 Parameter Changes

v6 Parameterv7 ParameterNotes
textpromptTTS text input
audioinit_audioSTT/STS audio input
target_audioinit_audioVoice-to-voice source
(not required)model_idNow required on all endpoints

Best Practices

1. Use Correct Voice IDs

TTS requires valid ElevenLabs voice IDs (not generic names like "alloy").

2. Ensure Audio Accessibility

Audio URLs for speech-to-text must be publicly accessible without redirects or authentication.

3. Use Webhooks for Long Operations

payload = {
    "key": api_key,
    "prompt": "...",
    "model_id": "eleven_multilingual_v2",
    "webhook": "https://yourserver.com/webhook/audio",
    "track_id": "audio_001"
}

Error Handling

try:
    audio = text_to_speech(text, api_key)
    print(f"Audio generated: {audio}")
except Exception as e:
    print(f"Audio generation failed: {e}")

Resources

Related Skills

  • modelslab-model-discovery - Find and filter models
  • modelslab-video-generation - Add audio to videos
  • modelslab-chat-generation - Chat with LLM models
  • modelslab-webhooks - Handle async audio generation

平台分布

Codex

38.1%
按下载量换算86

Claude

31.28%
按下载量换算70

Cursor

16.75%
按下载量换算38

Gemini CLI

8.69%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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