music-preference-reco SKILL.md skillA

music-preference-reco from garibong-labs/openclaw-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add garibong-labs/openclaw-skills/music-preference-reco@git:20260309.ef13b9e

Pins git:20260309.ef13b9e in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
garibong-labs/openclaw-skills
Path
music-preference-reco/SKILL.md
Versions recorded
1
Latest version
git:20260309.ef13b9e, committed Mar 9, 2026
Size
1,763 bytes
Repository stars
3
License
MIT

Track a user's favorite artists/songs over time and recommend songs from the stored taste profile. Use when the user says they like an artist or track, asks to remember music taste, wants cumulative music preference history, or asks for recommendations based on previously saved favorites.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Music Preference Reco

Store music taste in a persistent JSON profile and generate recommendations from that profile.

## Quick Start

Run from this skill folder:

```bash
python3 scripts/music_reco.py set-platform youtube
python3 scripts/music_reco.py add-artist "아티스트명"
python3 scripts/music_reco.py add-track "곡명" --artist "아티스트명"
python3 scripts/music_reco.py ingest "이 노래 넘 좋아 ROSSYPP - FALLING IN LOVE" --recommend
python3 scripts/music_reco.py show
python3 scripts/music_reco.py recommend --limit 10
python3 scripts/music_reco.py recommend --platform spotify --limit 10
```

지원 플랫폼: `youtube` | `spotify` | `apple`
- 기본값은 `set-platform`으로 고정
- `recommend --platform ...` 으로 1회성 override 가능

## Workflow

1. Save preference whenever the user says they like a singer or song.
2. Avoid duplicates (script handles this).
3. On recommendation requests, run `recommend` and return top picks.
4. Keep output concise with clickable links.

## Data File

Default profile path:

`~/.openclaw/workspace-dani/data/music-preferences.json`

Override when needed:

```bash
python3 scripts/music_reco.py --data /custom/path/preferences.json show
```

## Notes
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add garibong-labs/openclaw-skills/music-preference-reco@sha256:82e1bf482f670b38

The line at the top of this page pins the label git:20260309.ef13b9e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_xnbej2qr2kugtj5r.svg)](https://markdownregistry.com/a/art_xnbej2qr2kugtj5r)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Mar 9, 2026.

versioncommittedcommitsizeaudit
git:20260309.ef13b9e latest2026-03-09 ef13b9e 1,763 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1763 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

garibong-labs/openclaw-skills · 3 stars · license MIT · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xnbej2qr2kugtj5r
GET https://markdownregistry.com/api/v1/resolve?ref=garibong-labs/openclaw-skills/music-preference-reco
GET https://markdownregistry.com/api/v1/blob/82e1bf482f670b389d1ae3dabcc0d4a269d8bc916e0d352f898d3a91e73144e0

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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