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Agent Skill · 开发

acestep-lyrics-transcription(acestep 歌词转录)

acestep-lyrics-transcription 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-lyrics-transcription 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 1,491。

总安装 28,372周安装 1,159GitHub Stars 公开资料未说明下载 9,179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
1.0.1

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-lyrics-transcription(acestep 歌词转录)
来源仓库:https://github.com/dumoedss/acestep-lyrics-transcription
安装命令:
openclaw skills install acestep-lyrics-transcription
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-lyrics-transcription

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。

使用 OpenAI Whisper 或 ElevenLabs Scribe API 将音频转录为带时间戳的歌词。输出带有字级时间戳的 LRC、SRT 或 JSON。当用户想要转录歌曲、生成 LRC 文件或从音频中提取带有时间戳的歌词时使用。

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-lyrics-transcription;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-lyrics-transcription 怎么安装?

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

acestep-lyrics-transcription 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-lyrics-transcription 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-lyrics-transcription 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-lyrics-transcription 用的人多吗?

公开数据是累计安装 28,372 次,近一周安装 1,159 次,下载 9,179 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-lyrics-transcription 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-lyrics-transcription

acestep 歌词转录 · 本页

28,372—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-lyrics-transcription
description
Transcribe audio to timestamped lyrics using OpenAI Whisper or ElevenLabs Scribe API. Outputs LRC, SRT, or JSON with word-level timestamps. Use when users want to transcribe songs, generate LRC files, or extract lyrics with timestamps from audio.
allowed-tools
Read, Write, Bash

Lyrics Transcription Skill

Transcribe audio files to timestamped lyrics (LRC/SRT/JSON) via OpenAI Whisper or ElevenLabs Scribe API.

API Key Setup Guide

Before transcribing, you MUST check whether the user's API key is configured. Run the following command to check:

cd "{project_root}/{.claude or .codex}/skills/acestep-lyrics-transcription/" && bash ./scripts/acestep-lyrics-transcription.sh config --check-key

This command only reports whether the active provider's API key is set or empty — it does NOT print the actual key value. NEVER read or display the user's API key content. Do not use config --get on key fields or read config.json directly. The config --list command is safe — it automatically masks API keys as *** in output.

If the command reports the key is empty, you MUST stop and guide the user to configure it before proceeding. Do NOT attempt transcription without a valid key — it will fail.

Use AskUserQuestion to ask the user to provide their API key, with the following options and guidance:

  1. Tell the user which provider is currently active (openai or elevenlabs) and that its API key is not configured. Explain that transcription cannot proceed without it.
  2. Provide clear instructions on where to obtain a key:

- OpenAI: Get an API key at https://platform.openai.com/api-keys — requires an OpenAI account with billing enabled. The Whisper API costs ~$0.006/min. - ElevenLabs: Get an API key at https://elevenlabs.io/app/settings/api-keys — requires an ElevenLabs account. Free tier includes limited credits.

  1. Also offer the option to switch to the other provider if they already have a key for it.
  2. Once the user provides the key, configure it using:
   cd "{project_root}/{.claude or .codex}/skills/acestep-lyrics-transcription/" && bash ./scripts/acestep-lyrics-transcription.sh config --set <provider>.api_key <KEY>
  1. If the user wants to switch providers, also run:
   cd "{project_root}/{.claude or .codex}/skills/acestep-lyrics-transcription/" && bash ./scripts/acestep-lyrics-transcription.sh config --set provider <provider_name>
  1. After configuring, re-run config --check-key to verify the key is set before proceeding.

If the API key is already configured, proceed directly to transcription without asking.

Quick Start

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

# 2. Configure API key (choose one)
./scripts/acestep-lyrics-transcription.sh config --set openai.api_key sk-...
# or
./scripts/acestep-lyrics-transcription.sh config --set elevenlabs.api_key ...
./scripts/acestep-lyrics-transcription.sh config --set provider elevenlabs

# 3. Transcribe
./scripts/acestep-lyrics-transcription.sh transcribe --audio /path/to/song.mp3 --language zh

# 4. Output saved to: {project_root}/acestep_output/<filename>.lrc

Prerequisites

  • curl, jq, python3 (or python)
  • An API key for OpenAI or ElevenLabs

Script Usage

./scripts/acestep-lyrics-transcription.sh transcribe --audio <file> [options]

Options:
  -a, --audio      Audio file path (required)
  -l, --language   Language code (zh, en, ja, etc.)
  -f, --format     Output format: lrc, srt, json (default: lrc)
  -p, --provider   API provider: openai, elevenlabs (overrides config)
  -o, --output     Output file path (default: acestep_output/<filename>.lrc)

Post-Transcription Lyrics Correction (MANDATORY)

CRITICAL: After transcription, you MUST manually correct the LRC file before using it for MV rendering. Transcription models frequently produce errors on sung lyrics:

  • Proper nouns: "ACE-Step" → "AC step", "Spotify" → "spot a fly"
  • Similar-sounding words: "arrives" → "eyes", "open source" → "open sores"
  • Merged/split words: "lighting up" → "lightin' nup"

Correction Workflow

  1. Read the transcribed LRC file using the Read tool
  2. Read the original lyrics from the ACE-Step output JSON file
  3. Use original lyrics as a whole reference: Do NOT attempt line-by-line alignment — transcription often splits, merges, or reorders lines differently from the original. Instead, read the original lyrics in full to understand the correct wording, then scan each LRC line and fix any misrecognized words based on your knowledge of what the original lyrics say.
  4. Fix transcription errors: Replace misrecognized words with the correct original words, keeping the timestamps intact
  5. Write the corrected LRC back using the Write tool

What to Correct

  • Replace misrecognized words with their correct original versions
  • Keep all [MM:SS.cc] timestamps exactly as-is (timestamps from transcription are accurate)
  • Do NOT add structure tags like [Verse] or [Chorus] — the LRC should only have timestamped text lines

Example

Transcribed (wrong):

[00:46.96]AC step alive,
[00:50.80]one point five eyes.

Original lyrics reference:

ACE-Step alive
One point five arrives

Corrected (right):

[00:46.96]ACE-Step alive,
[00:50.80]One point five arrives.

Configuration

Config file: scripts/config.json

# Switch provider
./scripts/acestep-lyrics-transcription.sh config --set provider openai
./scripts/acestep-lyrics-transcription.sh config --set provider elevenlabs

# Set API keys
./scripts/acestep-lyrics-transcription.sh config --set openai.api_key sk-...
./scripts/acestep-lyrics-transcription.sh config --set elevenlabs.api_key ...

# View config
./scripts/acestep-lyrics-transcription.sh config --list
OptionDefaultDescription
provideropenaiActive provider: openai or elevenlabs
output_formatlrcDefault output: lrc, srt, or json
openai.api_key""OpenAI API key
openai.api_urlhttps://api.openai.com/v1OpenAI API base URL
openai.modelwhisper-1OpenAI model (whisper-1 for word timestamps)
elevenlabs.api_key""ElevenLabs API key
elevenlabs.api_urlhttps://api.elevenlabs.io/v1ElevenLabs API base URL
elevenlabs.modelscribe_v2ElevenLabs model

Provider Notes

ProviderModelWord TimestampsPricing
OpenAIwhisper-1Yes (segment + word)$0.006/min
ElevenLabsscribe_v2Yes (word-level)Varies by plan
  • OpenAI whisper-1 is the only OpenAI model supporting word-level timestamps
  • ElevenLabs scribe_v2 returns word-level timestamps with type filtering
  • Both support multilingual transcription

Examples

# Basic transcription (uses config defaults)
./scripts/acestep-lyrics-transcription.sh transcribe --audio song.mp3

# Chinese song to LRC
./scripts/acestep-lyrics-transcription.sh transcribe --audio song.mp3 --language zh

# Use ElevenLabs, output SRT
./scripts/acestep-lyrics-transcription.sh transcribe --audio song.mp3 --provider elevenlabs --format srt

# Custom output path
./scripts/acestep-lyrics-transcription.sh transcribe --audio song.mp3 --output ./my_lyrics.lrc

平台分布

OpenClaw

87.16%
按下载量换算8,000

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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