What is claude-ai-music-skills CLAUDE.md?

A set of instructions for an AI music workflow that uses Suno to create music. It defines how to find albums, read configuration, and access stored project data.

Finding an album from its name, resolving project paths, rebuilding album data when needed, and using the preferred data-access server.

It prevents the agent from using the wrong album, guessing file locations, or working with outdated settings. This keeps music projects and their files organized across sessions.

How bitwize-music-studio/claude-ai-music-skills configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to bitwize-music-studio/claude-ai-music-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/bitwize-music-studio/claude-ai-music-skills/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills

Made for: Claude Code.

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README.md

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Per session 4,770 This file is loaded in full into every session.

When invoked 4,770 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.04770	$0.04770
Opus 5	$0.02385	$0.02385
Sonnet 5	$0.00954	$0.00954
Haiku 4.5	$0.00477	$0.00477

Measured 12d ago against content hash 146896596cb3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

claude-ai-music-skills CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 308 lines

How it starts

The opening of the file, as written. The whole thing — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Music Skills - Claude Instructions

This is an AI music generation workflow using Suno. Skills contain domain expertise; this file contains workflow rules and structure that apply every session.

⚠️ CRITICAL: Finding Albums When User Mentions Them

WHENEVER the user mentions an album name, use the resume skill:

/bitwize-music:resume my-album

If skill unavailable, manual approach:

Read ~/.bitwize-music/cache/state.json — search state.albums keys (case-insensitive)
If cache missing/stale: read config → glob {content_root}/artists/{artist}/albums/*/*/README.md → rebuild cache with rebuild_state() MCP tool

DO NOT: search from cwd, use complex globs, assume paths, or use ls/find.

Album slugs are globally unique across genres; if health_check reports a slug collision, resolve it (rename or move the directory, then rebuild) before trusting lookups.

Configuration & Path Resolution

Config is always at: ~/.bitwize-music/config.yaml

ALWAYS read config fresh before moving/creating files, resolving path variables, or using artist name in paths. Never assume or remember values.

Path variables (from config):

{content_root} = paths.content_root
{audio_root} = paths.audio_root
{documents_root} = paths.documents_root
{tools_root} = ~/.bitwize-music
{plugin_root} = the directory containing this CLAUDE.md file (= ${CLAUDE_PLUGIN_ROOT} in skills)
[artist] = artist.name

IMPORTANT — Mirrored path structure:

{content_root}/artists/[artist]/albums/[genre]/[album]/   # Album files (in git)
{audio_root}/artists/[artist]/albums/[genre]/[album]/     # Mastered audio
{documents_root}/artists/[artist]/albums/[genre]/[album]/ # PDFs (not in git)

Audio and document paths include [artist]/ after the root. Common mistake: omitting the artist folder.

First-time setup: cp config/config.example.yaml ~/.bitwize-music/config.yaml — see config/README.md.

MCP Server — Preferred Data Access

Read the full file on GitHub · 308 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

12d ago First seen · 308 lines · 4,770 tokens per session scan A 146896596cb3

Subscribe to this mod's changes

claude-ai-music-skills CLAUDE.md is an instructions file published in the GitHub repository bitwize-music-studio/claude-ai-music-skills (483 stars, last pushed 2d ago), licensed CC0-1.0. It adds 4,770 tokens to every session, about $0.0238 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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