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musestreammusestream 自动化

Agent Skill

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。

总安装

3,696

周安装

154

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下载量

1,232
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

适合场景

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用户想查找某类 Agent Skill 时

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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87.78%
按下载量换算1,081

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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

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