OpenSuperMLX AGENTS.md

Project instructions for OpenSuperMLX, a macOS menu-bar app that transcribes audio in real time using machine learning on Apple Silicon Macs. They describe how coding agents should approach changes to the Swift and SwiftUI project.

In plain words
What is it for?
Use them when developing or reviewing OpenSuperMLX features, fixes, and refactors, especially when deciding what code to change and how much complexity to add.
Why use it?
They reduce unnecessary or risky edits by requiring clear assumptions, simple solutions, and focused changes. They also identify the app's supported macOS version and hardware.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/axot/opensupermlx/agents-md
Clone the repo
git clone --depth 1 https://github.com/axot/OpenSuperMLX

Made for: Codex, OpenCode.

Per session 5,957 This file is loaded in full into every session.
When invoked 5,957 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.05957 $0.05957
Opus 5 $0.02978 $0.02978
Sonnet 5 $0.01191 $0.01191
Haiku 4.5 $0.00596 $0.00596

Measured 2d ago against content hash d3cad28a60cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

OpenSuperMLX AGENTS.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 2d 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.

AGENTS.md · 466 lines

How it starts

The opening of the file, as written. The whole thing — 466 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — OpenSuperMLX

macOS menu-bar app for real-time audio transcription using MLX on Apple Silicon. Swift 5 / SwiftUI, Xcode project, targeting macOS 15.0+ (Sequoia), ARM64 only.

Agent Behavioral Guidelines

Behavioral guidelines to reduce common LLM coding mistakes. Always apply — bias toward caution over speed. For trivial tasks, use judgment.

Source: Karpathy guidelines

1. Think Before Coding

Don't assume. Don't hide confusion. Surface tradeoffs.

  • State your assumptions explicitly. If uncertain, ask.
  • If multiple interpretations exist, present them — don't pick silently.
  • If a simpler approach exists, say so. Push back when warranted.
  • If something is unclear, stop. Name what's confusing. Ask.

2. Simplicity First

Minimum code that solves the problem. Nothing speculative.

  • No features beyond what was asked.
  • No abstractions for single-use code.
  • No "flexibility" or "configurability" that wasn't requested.
  • No error handling for impossible scenarios.
  • If you write 200 lines and it could be 50, rewrite it.

Ask yourself: "Would a senior engineer say this is overcomplicated?" If yes, simplify.

3. Surgical Changes

Touch only what you must. Clean up only your own mess.

When editing existing code:

  • Don't "improve" adjacent code, comments, or formatting.
  • Don't refactor things that aren't broken.
  • Match existing style, even if you'd do it differently.
  • If you notice unrelated dead code, mention it — don't delete it.

When your changes create orphans:

  • Remove imports/variables/functions that YOUR changes made unused.
  • Don't remove pre-existing dead code unless asked.

The test: Every changed line should trace directly to the user's request.

4. Goal-Driven Execution

Define success criteria. Loop until verified.

Transform tasks into verifiable goals:

  • "Add validation" → "Write tests for invalid inputs, then make them pass"
  • "Fix the bug" → "Write a test that reproduces it, then make it pass"
  • "Refactor X" → "Ensure tests pass before and after"

Read the full file on GitHub · 466 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.

  1. 2d ago First seen · 466 lines · 5,957 tokens per session scan A d3cad28a60cc

Subscribe to this mod's changes

OpenSuperMLX AGENTS.md is an instructions file published in the GitHub repository axot/OpenSuperMLX (22 stars, last pushed 5d ago), licensed MIT. It adds 5,957 tokens to every session, about $0.0298 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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