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MoodMusic Conversation-Based Music Recommendations

作者 Shadow Rose · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
609
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0
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1
当前安装
2
版本数
在 OpenClaw 中安装
/install mood-music
功能描述
Recommend music based on your current mood, activity, or conversation context. Returns a curated track list you can search on Spotify, YouTube, or Apple Music.
使用说明 (SKILL.md)

MoodMusic Conversation-Based Music Recommendations

Recommend music based on your current mood, activity, or conversation context. Returns a curated track list you can search on Spotify, YouTube, or Apple Music — no credentials or API setup required.

Your agent reads the vibe and suggests music.

How It Works

You: "Long day. Need something to decompress."
Agent: "Chill mood detected. Here's your mix:

🎵 Nuvole Bianche — Ludovico Einaudi
🎵 Breathe — Télépopmusik  
🎵 Intro — The xx
🎵 Saturn — Sleeping At Last
🎵 Weightless — Marconi Union

Search these on Spotify, YouTube Music, or Apple Music."

Features

  • Mood detection — infers from conversation context
  • Activity matching — coding, working out, studying, relaxing
  • Multiple outputs — returns a track list ready to search on Spotify, YouTube, or Apple Music (no API credentials needed)
  • Curated playlists — themed track selections per mood
  • Discovery mode — surfaces new artists based on detected taste
  • Time-aware — morning energy vs. evening wind-down

Mood Categories

Mood Vibe
Focus Instrumental, lo-fi, ambient
Energy Upbeat, electronic, rock
Chill Acoustic, jazz, downtempo
Sad Melancholic, piano, indie
Hype Hip-hop, EDM, pump-up
Creative Experimental, world, fusion

⚠️ Disclaimer

This software is provided "AS IS", without warranty of any kind, express or implied.

USE AT YOUR OWN RISK.

  • The author(s) are NOT liable for any damages, losses, or consequences arising from the use or misuse of this software — including but not limited to financial loss, data loss, security breaches, business interruption, or any indirect/consequential damages.
  • This software does NOT constitute financial, legal, trading, or professional advice.
  • Users are solely responsible for evaluating whether this software is suitable for their use case, environment, and risk tolerance.
  • No guarantee is made regarding accuracy, reliability, completeness, or fitness for any particular purpose.
  • The author(s) are not responsible for how third parties use, modify, or distribute this software after purchase.

By downloading, installing, or using this software, you acknowledge that you have read this disclaimer and agree to use the software entirely at your own risk.

DATA DISCLAIMER: This software processes and stores data locally on your system. The author(s) are not responsible for data loss, corruption, or unauthorized access resulting from software bugs, system failures, or user error. Always maintain independent backups of important data. This software does not transmit data externally unless explicitly configured by the user.

Support & Links
🐛 Bug Reports [email protected]
☕ Ko-fi ko-fi.com/theshadowrose
🛒 Gumroad shadowyrose.gumroad.com
🐦 Twitter @TheShadowyRose
🐙 GitHub github.com/TheShadowRose
🧠 PromptBase promptbase.com/profile/shadowrose

Built with OpenClaw — thank you for making this possible.

🛠️ Need something custom? Custom OpenClaw agents & skills starting at $500. If you can describe it, I can build it. → Hire me on Fiverr

安全使用建议
This skill appears internally consistent and low-risk: it performs local, keyword-based mood detection and returns curated track suggestions without network calls or credentials. Before installing, consider: (1) provenance — the source/homepage is unknown, so prefer reviewing the embedded source (src/mood-music.js) yourself; (2) the README/disclaimer mentions local storage and earlier versions referenced learning over time, but the current code does not persist data — if you need or expect persistent preferences/learning, confirm whether a future version will add storage or external calls; (3) if you want playable playlists or automatic creation on Spotify/YouTube/Apple Music, that would require API keys/permissions which this skill does not request; (4) if you are cautious, run the skill in a sandboxed environment or inspect the code before use. Overall no immediate red flags were found.
功能分析
Type: OpenClaw Skill Name: mood-music Version: 1.0.1 The MoodMusic skill is a simple, local music recommendation engine that uses keyword matching to suggest tracks based on user input. The core logic in src/mood-music.js is entirely self-contained, performing no network requests, file system operations, or sensitive data access, and the documentation contains no malicious instructions or prompt injections.
能力评估
✓ Purpose & Capability
The name/description (mood-based music recommendations) match the implementation: keyword-based mood detection and returning curated track lists. The skill does not request unrelated credentials or binaries and does not attempt to integrate with Spotify/YouTube/Apple Music APIs (consistent with the stated 'no API credentials required').
ℹ Instruction Scope
SKILL.md and README describe local mood detection and returning a track list; the runtime instructions do not direct the agent to read unrelated files, call external endpoints, or exfiltrate data. Small inconsistencies: SKILL.md/README include a generic 'processes and stores data locally' disclaimer and older README text referencing a 'generated link' and 'learns over time' (changelog says learning/persistence was removed). The included source code contains no persistence or telemetry.
✓ Install Mechanism
No install spec is provided and the skill is instruction+code only, so nothing is downloaded or written to disk beyond the skill files themselves. This is low risk.
✓ Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The code likewise does not access environment variables or credentials.
✓ Persistence & Privilege
The skill does not request permanent presence (always:false) and the code does not modify agent/system configuration or store secrets. Agent autonomous invocation is allowed (platform default) but the skill's behavior is confined and stateless.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install mood-music
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /mood-music 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.1
Clarified Spotify/YouTube/Apple Music output is a curated track list (no API credentials needed); removed misleading generated link and learns-over-time claims
v1.0.0
Initial upload
元数据
Slug mood-music
版本 1.0.1
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 2
常见问题

MoodMusic Conversation-Based Music Recommendations 是什么？

Recommend music based on your current mood, activity, or conversation context. Returns a curated track list you can search on Spotify, YouTube, or Apple Music. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 609 次。

如何安装 MoodMusic Conversation-Based Music Recommendations？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install mood-music」即可一键安装，无需额外配置。

MoodMusic Conversation-Based Music Recommendations 是免费的吗？

是的，MoodMusic Conversation-Based Music Recommendations 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

MoodMusic Conversation-Based Music Recommendations 支持哪些平台？

MoodMusic Conversation-Based Music Recommendations 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 MoodMusic Conversation-Based Music Recommendations？

由 Shadow Rose（@theshadowrose）开发并维护，当前版本 v1.0.1。

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