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Logue: Instructions file for Claude Code

CLAUDE.md

Logue CLAUDE.md is an instructions file for Claude Code from bitwize-ai/Logue. It costs 7,535 tokens per session, scanned A, original, MIT.

Development instructions for Logue, a macOS meeting-notes and document-editing app that runs AI processing locally on the computer.

In plain words
What is it for?
Use them when changing SwiftUI or AppKit code, generating the Xcode project, building, testing, or preparing local AI components.
Why use it?
They explain the Swift and Xcode setup, build and test commands, signing requirements, and when to regenerate the project.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: positional $N argument.

This is bitwize-ai/Logue's own configuration. It tells Claude Code how to work on Logue itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Logue configures →

not rated 173repo +1 1mo ago A scan 7,535 tokens original MIT
View source ↗ bitwize-ai/Logue bitwize.ai
Reuse

Borrowing it

Nothing to install: this file belongs to bitwize-ai/Logue. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/bitwize-ai/Logue/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/bitwize-ai/Logue

Made for: Claude Code.

Wrote this? Show the measurements

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Per session 7,535 This file is loaded in full into every session.
When invoked 7,535 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.07535 $0.07535
Opus 5.5 $0.03014 $0.03014
Sonnet 5.5 $0.01507 $0.01507
Haiku 4.5 $0.00754 $0.00754

Measured 2mo ago against content hash 9b8e2e8f7573, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Logue 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 2mo 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.

CLAUDE.md · 378 lines

How it starts

The opening of the file, as written. The whole thing — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Logue — Development Guidelines

Project Overview

macOS app (macOS 26+ / Tahoe): AI-powered meeting notes + document editing. Privacy-first — all AI inference, transcription, and data processing runs locally on-device via MLX. By default nothing leaves the laptop; the only network calls are on-device model downloads, Sparkle update checks, and opt-in features the user explicitly enables (web search, external AI providers).

  • Bundle ID: com.bitwize.logue
  • Source: Logue/, Tests: LogueTests/
  • Swift 5.9 + SwiftUI + AppKit
  • Build system: XcodeGen — run xcodegen generate after adding new .swift files or changing project.yml
  • Build (runnable): xcodebuild build -project Logue.xcodeproj -scheme Logue -destination 'platform=macOS' DEVELOPMENT_TEAM=HC5R66SXM5 CODE_SIGN_STYLE=Automatic
  • Build / test (compile-check only): append CODE_SIGNING_ALLOWED=NO CODE_SIGNING_REQUIRED=NO CODE_SIGN_IDENTITY=""
  • MLX prerequisite: xcodebuild -downloadComponent MetalToolchain
  • Test (LLM integration): xcodebuild test -project Logue.xcodeproj -scheme Logue -destination 'platform=macOS' -only-testing:LogueTests/<SuiteName>

xcodebuild with no signing arguments fails, and the error — "Logue" has entitlements that require signing with a development certificate — reads like a code error rather than a missing flag. project.yml ships DEVELOPMENT_TEAM: "" deliberately, so the team is passed on the command line and never committed.

Running the build you just made

Three separate things will each hand you a different build than the one you compiled, and all three fail silently — the app launches, looks right, and simply does not contain your change. Every "my edit isn't showing up" report so far has been one of these, not a bug in the code.

  • Never pick the app by timestamp. More than one DerivedData root exists for this project (the command line's and Xcode's). Ask the build system where it writes, rather than guessing:

Read the full file on GitHub · 378 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. 2mo ago First seen · 378 lines · 7,535 tokens per session scan A 9b8e2e8f7573

Subscribe to this mod's changes

Logue CLAUDE.md is an instructions file published in the GitHub repository bitwize-ai/Logue (173 stars, last pushed 1mo ago), licensed MIT. It adds 7,535 tokens to every session, about $0.0301 per session on Opus 5.5. 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.

Apple SiliconLLMmacosmeeting-notesmlxon-device-ai
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