Music Discovery

Recommend music tracks and playlists tailored to mood, activity, BPM, energy, or genre using Spotify and Last.fm data.

This package looks like a placeholder/CLI stub rather than a working Spotify/Last.fm integrator. Before installing or running it: (1) don't provide your Spotify credentials to it until the author documents how they are used and where secrets are stored; (2) verify the code path and usage examples (SKILL.md points to a path that doesn't exist); (3) inspect the Python file locally — it currently only writes a local data file and does not call external APIs; (4) if you expect real API-backed recommendations, request the author to (a) implement/declare API calls, (b) list required env vars (client ID/secret or tokens) in metadata, and (c) fix usage paths; (5) run in a sandbox or limited environment if you want to test. These inconsistencies could be harmless (incomplete skill) but warrant caution.

Type: OpenClaw Skill Name: music-discovery Version: 1.0.0 The music-discovery skill bundle is a legitimate tool designed to assist an AI agent in recommending music and building playlists. The Python script (music_discovery_tool.py) acts as a CLI stub that logs command execution to a local JSON file, while the documentation (SKILL.md and music_discovery_guide.md) provides clear, non-malicious instructions for using standard APIs like Spotify and MusicBrainz.