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 agentmods add instructions/pantani/ableton-mind/claude-mdgit clone --depth 1 https://github.com/Pantani/ableton-mindWrote 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/instructions/pantani/ableton-mind/claude-md)<a href="https://agentmods.dev/instructions/pantani/ableton-mind/claude-md"><img src="https://agentmods.dev/badge/instructions/pantani/ableton-mind/claude-md.svg" alt="Measured on agentmods" 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 | $0.02195 | $0.02195 |
| Opus 5 | $0.01097 | $0.01097 |
| Sonnet 5 | $0.00439 | $0.00439 |
| Haiku 4.5 | $0.00219 | $0.00219 |
Grade A, and why
ableton-mind 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 5d 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
98% identical to ableton-mind AGENTS.md — 8 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Repository state
This repo has moved past the original planning-only state. Treat PLAN.md as the scope source of truth, and _workspace/PROGRESS.md as the current implementation state.
Before scaffolding anything, confirm with the user that the open decisions in PLAN.md §13 are resolved (TS vs Python, min Live version, Mac-first vs cross-platform, name, license, etc.). Several were pending input as of the last session.
What ableton-mind is
An MCP (Model Context Protocol) server that exposes the full Ableton Live Object Model (LOM) to LLMs, modeled on the tdmcp (TouchDesigner) project. The differentiators vs existing work (ahujasid/ableton-mcp at ~10% LOM, ideoforms/AbletonOSC which isn't MCP) are spelled out in PLAN.md §1:
- ~100% LOM coverage (~180 tools planned across 21 domains — see §4).
- Embedded knowledge base — JSON schemas for 50+ native Live 12 devices, scales, grooves, packs, MIDI standards (§5). Goal: LLM never guesses parameter names/ranges.
- Recipes — declarative JSON for drum kits, basslines, racks, arrangements by genre (§6). Server expands recipes into tool sequences.
- create → verify → preview loop — after each batch, re-read state and diff against intent; optional render/screenshot for the LLM to "see" the result (§7).
- Reactive listeners — LOM property changes pushed as MCP notifications (§4.21).
Planned architecture (three layers)
See PLAN.md §3 for the full spec.
Claude/Cursor ──MCP──▶ ableton-mind server (TS/Node) ──TCP JSON-RPC──▶ Remote Script (Python, inside Live)
- MCP server (
src/): TypeScript + Node 20+,@modelcontextprotocol/sdk, Zod validation. Holds tools, recipes, knowledge base. Routes calls to the bridge. - Bridge (
live/AbletonMind/): Python Remote Script loaded by Live (Python 3.11 on Live 12, 3.7 on Live 10/11). Hosts a local TCP server (default:9876) speaking JSON-RPC 2.0. Dispatches to LiveAPI; pushes listener events as JSON-RPC notifications. - Knowledge/recipes (
src/knowledge/,recipes/): static JSON shipped with the package.
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.
- 5d ago First seen · 109 lines · 2,195 tokens per session scan A b14287822adf
ableton-mind CLAUDE.md is an instructions file published in the GitHub repository Pantani/ableton-mind (5 stars, last pushed 2mo ago), licensed MIT. It adds 2,195 tokens to every session, about $0.0110 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to ableton-mind AGENTS.md, differing in 8 lines, and is treated as a copy.
Other instructions, from other repositories
ableton-skills CLAUDE.md
Instructions for glincker/ableton-skills, covering ableton project — ai producer context, connected tools, operating principles, available skills and what not to do.
ableton-cli AGENTS.md
Instructions for 6uclz1/ableton-cli, covering agents.md, purpose, project context, non-negotiable principles and source of truth.
ableton-auto-mix-mcp AGENTS.md
AGENTS.md instructions for HighVoltSound/ableton-auto-mix-mcp, covering agents.md, agent skills, issue tracker, triage labels and domain docs.
LivePilot CLAUDE.md
Claude Code instructions for dreamrec/LivePilot, covering livepilot v1.30.0 — ableton live 12, project, architecture, key rules and m4l bridge notes.
LivePilot AGENTS.md
AGENTS.md instructions for dreamrec/LivePilot, covering livepilot v1.30.0 — ableton live 12, project, architecture, key rules and m4l bridge notes.
ableton-for-ai AGENTS.md
AGENTS.md instructions for peterkolbe/ableton-for-ai, covering ai agents guide for ableton-for-ai, project purpose, core components, 1. oscdaemon.py (the bridge) and 2. abletonclient.py (the interface).