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 skills/pantani/ableton-mind/ableton-remote-scriptnpx skills add Pantani/ableton-mind --skill ableton-remote-scriptgit 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/skills/pantani/ableton-mind/ableton-remote-script)<a href="https://agentmods.dev/skills/pantani/ableton-mind/ableton-remote-script"><img src="https://agentmods.dev/badge/skills/pantani/ableton-mind/ableton-remote-script.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 | $0.00037 | $0.00361 |
| Opus 5 | $0.00018 | $0.00180 |
| Sonnet 5 | $0.00007 | $0.00072 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
ableton-remote-script 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 4d 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.
What it actually says
Ableton Remote Script — Python Bridge Patterns
Use this skill when implementing or reviewing code under live/AbletonMind/.
Constraints
- LiveAPI must be touched on Live's main thread. TCP worker threads enqueue work.
- Prefer stdlib only inside Live.
- Keep handlers idempotent and read-before-write.
- Wrap composite mutations in Song.begin_undo_step/end_undo_step.
- Return JSON-serializable data and structured JSON-RPC errors.
- Test offline with unittest and faked LiveAPI.
ControlSurface Lifecycle
Expose create_instance(c_instance), construct AbletonMind(ControlSurface), start the bridge when the control surface loads and stop it cleanly on disconnect/reload. Use log_message for structured diagnostics.
Handler Pattern
Register handlers with stable method names such as transport.play or track.list. Validate inputs, resolve Live objects at call time, check liveobj_valid before use, mutate only when needed, then read state back and return the contract shape.
Listener Pattern
Use a ListenerRegistry that tracks add/remove pairs. Subscribing twice is a no-op. Unsubscribe on client disconnect and surface reload. Listener callbacks push JSON-RPC notifications with stable event names and compact params.
Transactions
Use transaction helpers for multi-step mutations: create track + rename + load device should become one undo action. Always end the undo step in finally.
Tests
Every handler gets at least one happy path and one error path. Listener tests verify duplicate registration and cleanup. Smoke tests may use a real Live instance, but unit tests must pass without Live.
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.
- 4d ago First seen · 38 lines · 0 tokens per session scan A 579d69acd5d5
ableton-remote-script is a skill published in the GitHub repository Pantani/ableton-mind (5 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 361 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 2026-08-31.
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chord-pro
Use when the user wants to generate, voice, or modify chord progressions. Examples - "give me a sad chord progression in C minor", "voice these chords for piano", "what's a good progression for cinematic music?", "extend this progression with more color tones".