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 zabolotniydj/ableton-mcp-fixed --skill ableton-songwritergit clone --depth 1 https://github.com/zabolotniydj/ableton-mcp-fixedWrote 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/zabolotniydj/ableton-mcp-fixed/ableton-songwriter)<a href="https://agentmods.dev/skills/zabolotniydj/ableton-mcp-fixed/ableton-songwriter"><img src="https://agentmods.dev/badge/skills/zabolotniydj/ableton-mcp-fixed/ableton-songwriter/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/zabolotniydj/ableton-mcp-fixed/ableton-songwriter"><img src="https://agentmods.dev/badge/skills/zabolotniydj/ableton-mcp-fixed/ableton-songwriter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.01931 |
| Opus 5 | $0.00000 | $0.00966 |
| Sonnet 5 | $0.00000 | $0.00386 |
| Haiku 4.5 | $0.00000 | $0.00193 |
Grade A, and why
ableton-songwriter 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.
This is a copy
100% identical to ableton-songwriter — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ableton Songwriter
Objective
Convert an open-ended songwriting request into a playable, editable Ableton draft with:
- coherent song form,
- intentional section contrast,
- viable instrumentation choices,
- and a minimal but professional gain/mix baseline.
This skill optimizes for production momentum and clean revision cycles, not final mastering.
Use This Skill When
- The user asks to compose, arrange, rewrite, or “start a song” in Ableton.
- The user gives broad direction and expects structured clarification.
- The user wants a practical draft with a fast polish pass.
Do Not Use This Skill When
- The task is purely technical/debugging (no songwriting intent).
- The user only asks for a single isolated operation (for example, “rename track 3”).
- The user explicitly asks for free-form brainstorming with no DAW execution.
Operating Standards
- Keep decisions explicit and traceable in a compact production brief.
- Resolve high-impact unknowns first; avoid over-questioning.
- Protect user project state (never destructive by default).
- Prefer repeatable arrangement patterns over novelty for first drafts.
- Keep the first pass modular so sections can be swapped or extended quickly.
Workflow
- Parse request and extract fixed constraints.
- Run targeted intake for missing high-impact decisions.
- Emit production brief and proceed unless user asks to review first.
- Build section foundations (rhythm, harmony, hook) in Session or Arrangement.
- Arrange into form with section contrast and transitions.
- Apply quick mix baseline and playback-ready positioning.
- Return structured handoff with revision options.
Intake Protocol
- Use MCQ format with
1. 2. 3.numbering when clarification is needed. - Ask exactly 3 questions first; ask at most 2 follow-ups.
- Skip any item already answered by user constraints.
- If user asks for speed, ask only:
- genre family,
- energy target,
- section length target.
- Use intake-mcq.md for full option bank.
- If structured input tooling is available, use it; otherwise ask plain-text MCQ.
- Always include one safe default option.
What ships with it
3 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.
- 12d ago First seen · 221 lines · 0 tokens per session scan A 7c79e7f44ae0
ableton-songwriter is a skill published in the GitHub repository zabolotniydj/ableton-mcp-fixed (0 stars, last pushed 23d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,931 tokens. A static security scan graded it A with 0 findings. It is 100% identical to ableton-songwriter, differing in 0 lines, and is treated as a copy.
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