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Agent Skill · 开发

acestep(acestep 音频)

acestep 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。

acestep 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,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 1,056。

总安装 42,174周安装 1,775GitHub Stars 公开资料未说明下载 14,768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
1.0.2

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:acestep(acestep 音频)
来源仓库:https://github.com/dumoedss/acestep
安装命令:
openclaw skills install acestep
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 acestep

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。

acestep 用于音乐生成与音频编辑,基于 ACE-Step API。适合文本转音乐、歌词生成和音频延续处理。acestep 属于开发类 Skill,可作为该场景下的辅助能力补充。通过 clawhub 安装,需结合来源仓库和 README 确认具体用法。安装前建议确认权限范围、维护状态及是否触发网络请求。

适用于音乐制作、音频处理和创意音效生成。

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 acestep;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

acestep 怎么安装?

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

acestep 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。

acestep 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。

acestep 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。

acestep 用的人多吗?

公开数据是累计安装 42,174 次,近一周安装 1,775 次,下载 14,768 次。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。

acestep 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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 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。

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
acestep

acestep 音频 · 本页

42,174—接触敏感数据MIT-0有提醒

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
acestep
description
Use ACE-Step API to generate music, edit songs, and remix music. Supports text-to-music, lyrics generation, audio continuation, and audio repainting. Use this skill when users mention generating music, creating songs, music production, remix, or audio continuation.
allowed-tools
Read, Write, Bash, Skill

ACE-Step Music Generation Skill

Use ACE-Step V1.5 API for music generation. Always use scripts/acestep.sh script — do NOT call API endpoints directly.

Quick Start

# 1. cd to this skill's directory
cd {project_root}/{.claude or .codex}/skills/acestep/

# 2. Check API service health
./scripts/acestep.sh health

# 3. Generate with lyrics (recommended)
./scripts/acestep.sh generate -c "pop, female vocal, piano" -l "[Verse] Your lyrics here..." --duration 120 --language zh

# 4. Output saved to: {project_root}/acestep_output/

Workflow

For user requests requiring vocals:

  1. Use the acestep-songwriting skill for lyrics writing, caption creation, duration/BPM/key selection
  2. Write complete, well-structured lyrics yourself based on the songwriting guide
  3. Generate using Caption mode with -c and -l parameters

Only use Simple/Random mode (-d or random) for quick inspiration or instrumental exploration.

If the user needs a simple music video, use the acestep-simplemv skill to render one with waveform visualization and synced lyrics.

MV Production Requirements: Making a simple MV requires three additional skills to be installed:

  • acestep-songwriting — for writing lyrics and planning song structure
  • acestep-lyrics-transcription — for transcribing audio to timestamped lyrics (LRC)
  • acestep-simplemv — for rendering the final music video

Script Commands

CRITICAL - Complete Lyrics Input: When providing lyrics via the -l parameter, you MUST pass ALL lyrics content WITHOUT any omission:

  • If user provides lyrics, pass the ENTIRE text they give you
  • If you generate lyrics yourself, pass the COMPLETE lyrics you created
  • NEVER truncate, shorten, or pass only partial lyrics
  • Missing lyrics will result in incomplete or incoherent songs

Music Parameters: Use the acestep-songwriting skill for guidance on duration, BPM, key scale, and time signature.

# need to cd to this skill's directory first
cd {project_root}/{.claude or .codex}/skills/acestep/

# Caption mode - RECOMMENDED: Write lyrics first, then generate
./scripts/acestep.sh generate -c "Electronic pop, energetic synths" -l "[Verse] Your complete lyrics
[Chorus] Full chorus here..." --duration 120 --bpm 128

# Instrumental only
./scripts/acestep.sh generate "Jazz with saxophone"

# Quick exploration (Simple/Random mode)
./scripts/acestep.sh generate -d "A cheerful song about spring"
./scripts/acestep.sh random

# Options
./scripts/acestep.sh generate "Rock" --duration 60 --batch 2
./scripts/acestep.sh generate "EDM" --no-thinking    # Faster

# Other commands
./scripts/acestep.sh status <job_id>
./scripts/acestep.sh health
./scripts/acestep.sh models

Output Files

After generation, the script automatically saves results to the acestep_output folder in the project root (same level as .claude):

project_root/
├── .claude/
│   └── skills/acestep/...
├── acestep_output/          # Output directory
│   ├── <job_id>.json         # Complete task result (JSON)
│   ├── <job_id>_1.mp3        # First audio file
│   ├── <job_id>_2.mp3        # Second audio file (if batch_size > 1)
│   └── ...
└── ...

JSON Result Structure

Important: When LM enhancement is enabled (use_format=true), the final synthesized content may differ from your input. Check the JSON file for actual values:

FieldDescription
promptActual caption used for synthesis (may be LM-enhanced)
lyricsActual lyrics used for synthesis (may be LM-enhanced)
metas.promptOriginal input caption
metas.lyricsOriginal input lyrics
metas.bpmBPM used
metas.keyscaleKey scale used
metas.durationDuration in seconds
generation_infoDetailed timing and model info
seed_valueSeeds used (for reproducibility)
lm_modelLM model name
dit_modelDiT model name

To get the actual synthesized lyrics, parse the JSON and read the top-level lyrics field, not metas.lyrics.

Configuration

Important: Configuration follows this priority (high to low):

  1. Command line arguments > config.json defaults
  2. User-specified parameters temporarily override defaults but do not modify config.json
  3. Only config --set command permanently modifies config.json

Default Config File (scripts/config.json)

{
  "api_url": "http://127.0.0.1:8001",
  "api_key": "",
  "api_mode": "completion",
  "generation": {
    "thinking": true,
    "use_format": false,
    "use_cot_caption": true,
    "use_cot_language": false,
    "batch_size": 1,
    "audio_format": "mp3",
    "vocal_language": "en"
  }
}
OptionDefaultDescription
api_urlhttp://127.0.0.1:8001API server address
api_key""API authentication key (optional)
api_modecompletionAPI mode: completion (OpenRouter, default) or native (polling)
generation.thinkingtrueEnable 5Hz LM (higher quality, slower)
generation.audio_formatmp3Output format (mp3/wav/flac)
generation.vocal_languageenVocal language

Prerequisites - ACE-Step API Service

IMPORTANT: This skill requires the ACE-Step API server to be running.

Required Dependencies

The scripts/acestep.sh script requires: curl and jq.

# Check dependencies
curl --version
jq --version

If jq is not installed, the script will attempt to install it automatically. If automatic installation fails:

  • Windows: choco install jq or download from https://jqlang.github.io/jq/download/
  • macOS: brew install jq
  • Linux: sudo apt-get install jq (Debian/Ubuntu) or sudo dnf install jq (Fedora)

Before First Use

You MUST check the API key and URL status before proceeding. Run:

cd "{project_root}/{.claude or .codex}/skills/acestep/" && bash ./scripts/acestep.sh config --check-key
cd "{project_root}/{.claude or .codex}/skills/acestep/" && bash ./scripts/acestep.sh config --get api_url
Case 1: Using Official Cloud API (https://api.acemusic.ai) without API key

If api_url is https://api.acemusic.ai and api_key is empty, you MUST stop and guide the user to configure their key:

  1. Tell the user: "You're using the ACE-Step official cloud API, but no API key is configured. An API key is required to use this service."
  2. Explain how to get a key: API keys are currently available through acemusic.ai for free.
  3. Use AskUserQuestion to ask the user to provide their API key.
  4. Once provided, configure it:
   cd "{project_root}/{.claude or .codex}/skills/acestep/" && bash ./scripts/acestep.sh config --set api_key <KEY>
  1. Additionally, inform the user: "If you also want to render music videos (MV), it's recommended to configure a lyrics transcription API key as well (OpenAI Whisper or ElevenLabs Scribe), so that lyrics can be automatically transcribed with accurate timestamps. You can configure it later via the acestep-lyrics-transcription skill."
Case 2: API key is configured

Verify the API endpoint: ./scripts/acestep.sh health and proceed with music generation.

Case 3: Using local/custom API without key

Local services (http://127.0.0.1:*) typically don't require a key. Verify with ./scripts/acestep.sh health and proceed.

If health check fails:

  • Ask: "Do you have ACE-Step installed?"
  • If installed but not running: Use the acestep-docs skill to help them start the service
  • If not installed: Use acestep-docs skill to guide through installation

Service Configuration

Official Cloud API: ACE-Step provides an official API endpoint at https://api.acemusic.ai. To use it:

./scripts/acestep.sh config --set api_url "https://api.acemusic.ai"
./scripts/acestep.sh config --set api_key "your-key"
./scripts/acestep.sh config --set api_mode completion

API keys are currently available through acemusic.ai for free.

Local Service (Default): No configuration needed — connects to http://127.0.0.1:8001.

Custom Remote Service: Update scripts/config.json or use:

./scripts/acestep.sh config --set api_url "http://remote-server:8001"
./scripts/acestep.sh config --set api_key "your-key"

API Key Handling: When checking whether an API key is configured, use config --check-key which only reports configured or empty without printing the actual key. NEVER use config --get api_key or read config.json directly — these would expose the user's API key. The config --list command is safe — it automatically masks API keys as *** in output.

API Mode

The skill supports two API modes. Switch via api_mode in scripts/config.json:

ModeEndpointDescription
completion (default)/v1/chat/completionsOpenRouter-compatible, sync request, audio returned as base64
native/release_task + /query_resultAsync polling mode, supports all parameters

Switch mode:

./scripts/acestep.sh config --set api_mode completion
./scripts/acestep.sh config --set api_mode native

Completion mode notes:

  • No polling needed — single request returns result directly
  • Audio is base64-encoded inline in the response (auto-decoded and saved)
  • inference_steps, infer_method, shift are not configurable (server defaults)
  • --no-wait and status commands are not applicable in completion mode
  • Requires model field — auto-detected from /v1/models if not specified

Using acestep-docs Skill for Setup Help

IMPORTANT: For installation and startup, always use the acestep-docs skill to get complete and accurate guidance.

DO NOT provide simplified startup commands - each user's environment may be different. Always guide them to use acestep-docs for proper setup.


For API debugging, see API Reference.

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

平台分布

OpenClaw

97.51%
按下载量换算14,400

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

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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