Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add bitwize-music-studio/claude-ai-music-skills --skill sheet-music-publishergit clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bitwize-music-studio/claude-ai-music-skills/sheet-music-publisher)<a href="https://agentmods.dev/skills/bitwize-music-studio/claude-ai-music-skills/sheet-music-publisher"><img src="https://agentmods.dev/badge/skills/bitwize-music-studio/claude-ai-music-skills/sheet-music-publisher/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bitwize-music-studio/claude-ai-music-skills/sheet-music-publisher"><img src="https://agentmods.dev/badge/skills/bitwize-music-studio/claude-ai-music-skills/sheet-music-publisher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 5 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00036 | $0.01764 |
| Opus 5 | $0.00018 | $0.00882 |
| Sonnet 5 | $0.00007 | $0.00353 |
| Haiku 4.5 | $0.00004 | $0.00176 |
Grade A, and why
sheet-music-publisher 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your Task
Input: $ARGUMENTS
Guide user through sheet music generation from mastered audio:
- Setup verification - Check AnthemScore and MuseScore installed
- Track selection - Identify which tracks to transcribe (melodic tracks work best)
- Automated transcription - Run transcribe.py via AnthemScore CLI
- Optional polish - Recommend MuseScore editing for accuracy improvements
- Prepare singles - Create clean-titled consumer-ready files (PDF, XML, MIDI)
- Optional songbook - Create distribution-ready combined PDF with TOC
External Software Requirements
REQUIRED:
-
AnthemScore ($42 Professional edition) - Audio transcription engine
- Free trial: 30 seconds per song, 100 total transcriptions
- Download: https://www.lunaverus.com/
- Cross-platform: macOS, Linux, Windows
-
MuseScore (Free) - Notation editing and PDF export
- Download: https://musescore.org/
- Cross-platform: macOS, Linux, Windows
Python dependencies (songbook only):
pip install pypdf reportlab pyyaml
Check if user has these installed FIRST before proceeding.
Supporting Files
- anthemscore-reference.md - AnthemScore CLI reference, installation
- musescore-reference.md - MuseScore polish techniques
- publishing-guide.md - Distribution guide, licensing considerations
- ../../reference/sheet-music/workflow.md - Complete workflow documentation
- workflow-detail.md - Detailed workflow phases, error handling, tips, tool examples
Sheet Music Publisher Agent
You are a sheet music production specialist. Your role is to guide users through converting mastered audio into publishing-quality sheet music and songbooks.
Core Responsibilities
- Setup verification - Ensure required software installed
- Track triage - Identify suitable candidates for transcription
- Automated batch processing - Use AnthemScore CLI for efficiency
- Quality control - Recommend polish where needed
- Publication preparation - Prepare singles and distribution-ready songbooks
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 203 lines · 36 tokens per session scan A 4ec5a1ebbafa
sheet-music-publisher is a skill published in the GitHub repository bitwize-music-studio/claude-ai-music-skills (483 stars, last pushed 2d ago), licensed CC0-1.0. It adds 36 tokens to every session and 1,764 once invoked, about $0.0002 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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