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Agent Skill · 开发

musestream(musestream 自动化)

musestream 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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。

musestream 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 7,562。

总安装 3,696周安装 154GitHub Stars 公开资料未说明下载 1,232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
1.0.4

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:musestream(musestream 自动化)
来源仓库:https://github.com/asriverwang/musestream
安装命令:
openclaw skills install musestream
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 musestream

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。

根据文本提示生成人工智能音乐,并通过可共享的播放器 URL 在浏览器中连续播放;所有曲目都保存在本地库中。

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 musestream;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

musestream 怎么安装?

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

musestream 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。

musestream 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。

musestream 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。

musestream 用的人多吗?

公开数据是累计安装 3,696 次,近一周安装 154 次,下载 1,232 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。

musestream 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
musestream

musestream 自动化 · 本页

3,696—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

MuseStream Skill

AI music generation and streaming. Give the user a shareable player URL — music generates and plays continuously in their browser. All songs are saved to a local library.

Provider-agnostic — Sonauto is the default. Adding new music generation APIs requires only a config entry.


Features

  • Continuous streaming player — Agent sends user a URL; browser streams AI-generated music song after song with no interruption
  • Auto-queue — Automatically requests the next song after 120 seconds of playback while the browser window stays active; click "Stop Stream" or close the window to stop queuing and save your Sonauto credits
  • Shareable links — Player URLs can be shared externally; expose the server via a reverse proxy (e.g., Nginx, Caddy) or a tunnel (e.g., ngrok, Cloudflare Tunnel) with HTTPS and authentication to keep your stream secure
  • Context-aware prompts — The agent uses its own LLM to interpret user intent and real-world context (weather, mood, activity, location, traffic) into effective music generation prompts; the server also provides a rule-based fallback via /api/context
  • Persistent library — All generated songs are saved locally with metadata (title, tags, lyrics) and browsable via a built-in player
  • Mobile context UI — Form at /context-ui for sharing context from any device
  • Background save on stop — Clicking Stop finishes saving the current song before ending
  • Messenger bot integration — Connect MuseStream to your messaging bots (Telegram, Discord, Slack, etc.) so you can request AI music streams directly from a chat message and receive a playable link in reply
[!CAUTION] Remember to click Stop Stream or close the browser window when you're done listening. The auto-queue will keep requesting new songs every 120 seconds, which consumes your Sonauto credits.

Setup for Agent (first time)

0. Clone the repo

git clone https://github.com/asriverwang/openclaw-musestream.git ~/.openclaw/skills/openclaw-musestream

All subsequent commands assume MuseStream is located at ~/.openclaw/skills/openclaw-musestream. Adjust paths if you cloned it elsewhere.

1. Get Sonauto API key

Guide the user to sign up at https://sonauto.ai and copy their API key.

2. Configure environment

Once the user provides their key:

cp config.example.json config.json

Set the values in config.json:

{
  "SONAUTO_API_KEY": "<user's key>",
  "MUSIC_PROVIDER": "sonauto",
  "MUSESTREAM_OUTPUT_DIR": "<user's preferred path>",
  "MUSESTREAM_PORT": <user's preferred port>
}

Ask the user where they want generated songs saved. If they don't specify, remind them the default is ~/Music/MuseStream. Ask the user which port to use. If they don't specify, remind them the default is 5001. The agent should pick an available port to avoid conflicts.

3. Install dependencies

pip install -r requirements.txt

4. Start the server

./restart_musestream.sh
# Server at http://localhost:5001

The server loads config.json automatically at startup.


Quick start for agent

1. Check if server is running

curl -s http://localhost:5001/library | python3 -m json.tool | head -5

If it returns JSON → server is up. If connection refused → start it:

./restart_musestream.sh

2. Quick test

curl "http://localhost:5001/start?prompt=upbeat+indie+rock+morning+energy"

3. Generate music from a prompt

GET http://localhost:5001/start?prompt=<url-encoded description>

Returns { "url": "http://localhost:5001/player?s=<key>", "key": "...", "prompt": "..." }

Important: The agent must interpret and refine the user's prompt before calling /start. The server passes the prompt directly to Sonauto — it does not rewrite it. If the user says something non-musical (e.g., "a rock song about turtles flying", "music for a rainy afternoon"), the agent should use its own LLM to convert it into an effective music generation prompt describing artist, genre, era, mood, energy, usage context, and sonic texture.

Send the url to the user. They open it in a browser — music streams automatically.

Prompt guidelines for the agent:

  • If the prompt includes artist names, genres, or musical descriptors → pass through or improve slightly
  • Describe genre, era, mood, energy, usage, texture. No real song names.
  • Non-musical input → interpret and rewrite (e.g., "turtles flying" → "energetic rock with soaring melodies, playful and whimsical, bright guitar riffs")
  • Already-musical input → pass through or improve slightly
  • Examples of good prompts:

- "upbeat indie rock with jangly guitars, morning energy" - "dark ambient electronic, late night focus, minimal percussion" - "smooth jazz piano trio, warm and intimate, chill evening"

4. Generate from user context

Preferred approach: The agent should gather context from the user (time, weather, mood, activity, etc.), use its own LLM to synthesize a music prompt, and call /start?prompt=... directly.

Fallback: The server provides a rule-based context-to-prompt endpoint:

POST http://localhost:5001/api/context
Content-Type: application/json

{
  "time": "evening",
  "weather": "rainy",
  "mood": "relaxed",
  "activity": "working from home",
  "driving": "",
  "traffic": "",
  "destination": ""
}

Returns { "url": "...", "prompt": "<rule-based music prompt>", "key": "..." }

Mobile-friendly form: http://localhost:5001/context-ui (uses the rule-based engine)

5. Browse the library

GET http://localhost:5001/library      # JSON list of all saved songs
GET http://localhost:5001/             # Browser library player

6. Stop streaming

POST http://localhost:5001/stop
{"task_ids": ["<task_id>"]}

Current song finishes saving before stopping.


All endpoints

EndpointMethodDescription
/start?prompt=...GETCreate session → player URL
/player?s=<key>GETStreaming player page
/generate?prompt=...&session=...GETStart generation job
/status/<task_id>GETCheck generation status
/stream/<task_id>GETAudio stream
/metadata/<task_id>GETTitle, tags, lyrics
/stopPOSTStop tasks {"task_ids": [...]}
/api/contextPOST/GETContext → prompt → player URL
/context-uiGETMobile context form
/libraryGETJSON list of saved songs
/files/<filename>GETServe saved audio (range-capable)
/GETLibrary player UI

Adding a new provider

Add an entry to PROVIDERS in musestream_server.py:

"myprovider": {
    "name":         "MyProvider",
    "register_url": "https://myprovider.com",
    "key_env":      "MYPROVIDER_API_KEY",
    "generate_url": "https://api.myprovider.com/v1/generate",
    "stream_base":  "https://api.myprovider.com/v1/stream",
    "status_url":   "https://api.myprovider.com/v1/status",
    "meta_url":     "https://api.myprovider.com/v1/songs",
    "audio_fmt":    "mp3",
    "mime":         "audio/mpeg",
},

Add a branch in start_generation() for the provider's payload format. Set "MUSIC_PROVIDER": "MyProvider" and "MYPROVIDER_API_KEY": "<your_key>" in config.json and restart.

平台分布

OpenClaw

87.78%
按下载量换算1,081

安全审计

VirusTotal

通过

ClawScan

可疑

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。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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