Token导航 LogoToken导航

Agent Skill · 研究检索

dj-set-ripper(DJ 设置开膛手)

dj-set-ripper 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

dj-set-ripper 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 5,834。

总安装 24,211周安装 989GitHub Stars 公开资料未说明下载 7,833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:dj-set-ripper(DJ 设置开膛手)
来源仓库:https://github.com/robinnnnn/dj-set-ripper
安装命令:
openclaw skills install dj-set-ripper
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 dj-set-ripper

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。

用于查找、检索和筛选相关信息。dj-set-ripper 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合根据关键词或任务场景快速定位候选结果。可从 YouTube、SoundCloud 等链接提取曲目列表。安装前需确认权限范围和维护状态,避免误触命令执行。

建议结合原始 README 验证具体使用方式与数据源限制。

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 dj-set-ripper;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

    它需要需要联网,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

dj-set-ripper 怎么安装?

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

dj-set-ripper 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。

dj-set-ripper 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

dj-set-ripper 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。

dj-set-ripper 用的人多吗?

公开数据是累计安装 24,211 次,近一周安装 989 次,下载 7,833 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。

dj-set-ripper 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

  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 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
dj-set-ripper

DJ 设置开膛手 · 本页

24,211—需要联网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
dj-set-ripper
description
>

DJ Set Ripper

Extract tracklists from DJ sets and download each track individually.

⚠️ Legal Notice: This skill is intended for downloading music you have the right to access — purchases, free releases, creative commons, etc. Respect copyright laws in your jurisdiction. The author is not responsible for misuse.

Dependencies

Same as dj-mp3-sourcer (yt-dlp, ffmpeg/ffprobe, spotdl). No additional dependencies.

Workflow

1. Extract Page Content

Fetch the set URL and extract raw text (description, metadata, comments):

YouTube:

yt-dlp --dump-json "<url>" | jq -r '.description'

SoundCloud / Mixcloud: Use web_fetch to grab the page content in markdown mode.

1001Tracklists: Use web_fetch — this source has the most structured data. Prefer it when available.

2. Parse the Tracklist (LLM-Powered)

Feed the raw page content to the model with this prompt structure:

Extract all tracks from this DJ set description. Return a JSON array of objects:
[{"number": 1, "timestamp": "0:00", "artist": "Artist Name", "title": "Track Title (Mix Name)"}]

Rules:
- Preserve remix/mix names in the title (e.g. "Original Mix", "Extended Mix", "Remix")
- If a track is listed as "ID - ID" or "ID", set artist and title both to "ID"
- If only a timestamp exists with no track info, skip it
- Normalize artist names (fix ALL CAPS, etc.)
- If no timestamps exist, set timestamp to null
- Number tracks sequentially starting from 1

Raw content:
"""
{description_text}
"""

If parsing returns zero tracks, inform the user the tracklist couldn't be extracted and suggest:

  • Checking 1001Tracklists manually
  • Pasting the tracklist directly

3. Download Each Track

For each parsed track (skipping any with artist AND title = "ID"):

  1. Use the dj-mp3-sourcer workflow: search sources in priority order, prefer extended mixes, download or surface purchase links
  2. Use sessions_spawn to parallelize downloads (batch of 3-5 at a time to avoid rate limits)
  3. Save files to: ~/Downloads/{set-name}/

Set name is derived from the mix title (sanitized for filesystem).

4. Optionally Download the Full Mix

Ask the user if they also want the full mix downloaded. If yes:

yt-dlp -x --audio-format mp3 --audio-quality 0 \
  --embed-thumbnail --add-metadata \
  -o "~/Downloads/{set-name}/{set-name} [Full Mix].%(ext)s" "<url>"

5. Normalize Filenames

After all downloads complete (not per-batch — wait for every sub-agent to finish), run the normalization script once:

# 1. Write the parsed tracklist as JSON
cat > /tmp/tracklist.json << 'EOF'
[{"artist": "Artist", "title": "Title"}, ...]
EOF

# 2. Run normalize
scripts/normalize-filenames.sh ~/Downloads/{set-name} /tmp/tracklist.json

This fuzzy-matches each mp3 to a tracklist entry and renames to clean Artist - Title.mp3. Handles NA - prefixes, (Official Video) junk, wrong artist credits, label names, etc.

Critical: Run this in the parent agent after all batches return — do NOT rely on sub-agents to rename. The parsed tracklist is the source of truth for filenames.

6. Generate the Log File

Create ~/Downloads/{set-name}/{timestamp}.log with format:

DJ Set Ripper Log
=================
Set: {set title}
URL: {original url}
Date: {ISO timestamp}
Tracks found: {total}

#   | Artist              | Title                          | Status         | Source   | Bitrate | Size  | File/Link
----|---------------------|--------------------------------|----------------|----------|---------|-------|----------
01  | Argy                | Aria (Original Mix)            | ✅ downloaded   | spotdl   | 320k    | 8.2MB | Argy - Aria (Original Mix).mp3
02  | ID                  | ID                             | ⬛ unidentified | —        | —       | —     | —
03  | Massano             | Odyssey                        | ✅ downloaded   | youtube  | 271k    | 6.5MB | Massano - Odyssey.mp3
04  | Boris Brejcha       | Gravity (Extended Mix)         | 🛒 purchase     | beatport | —       | —     | https://...
05  | Some Bootleg        | Unreleased VIP                 | ❌ not found    | —        | —       | —     | —

Summary: 3 downloaded, 1 purchase link, 1 not found, 1 unidentified
Total size: ~XXM (individual tracks) + XXM (full mix)
Full mix: ✅ downloaded → {set-name} [Full Mix].mp3

Notes:
- Bitrate via `ffprobe -v quiet -show_entries format=bit_rate -of csv=p=0 "<file>"`
- File size via `ls -lh`

Edge Cases

  • No tracklist in description — check 1001Tracklists via web_search: "{set title}" site:1001tracklists.com
  • "ID - ID" tracks — log as unidentified, don't attempt download
  • Bootlegs / mashups — search anyway, but expect failures. log as not found with note
  • B2B sets — multiple artists in set title, handle gracefully
  • Duplicate tracks — deduplicate by artist+title before downloading
  • Very long sets (50+ tracks) — batch in groups of 5, report progress as batches complete

Configuration

SettingDefaultNotes
Output directory~/Downloads/{set-name}/Per-set subfolder
Formatmp3 320kVia dj-mp3-sourcer
Download full mixask userCan be set to always/never
Free only modetruePassed through to dj-mp3-sourcer (skip paid sources, use spotdl/yt-dlp only)
Parallel downloads5Max concurrent track downloads

平台分布

OpenClaw

85.49%
按下载量换算6,696

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

继续浏览同类 Skills