quill CLAUDE.md

quill CLAUDE.md is an instructions file for coding agents from Community-Access/quill. It costs 3,187 tokens per session, scanned A, original, MIT.

Repository instructions for Quill, covering how to install, run, test, lint, and type-check the application. Quill is the software project these instructions belong to.

In plain words
What is it for?
Use them when working on Quill to install dependencies, start the app, run focused or complete tests, check formatting, and run scoped code-quality checks.
Why use it?
They give a coding agent the project's expected commands and checks, reducing guesswork about how to verify changes.

Instructions file

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/community-access/quill/claude-md
Clone the repo
git clone --depth 1 https://github.com/Community-Access/quill

Wrote 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.

agentmods badge for quill CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/community-access/quill/claude-md.svg)](https://agentmods.dev/instructions/community-access/quill/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/community-access/quill/claude-md"><img src="https://agentmods.dev/badge/instructions/community-access/quill/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 3,187 This file is loaded in full into every session.
When invoked 3,187 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 $0.03187 $0.03187
Opus 5 $0.01594 $0.01594
Sonnet 5 $0.00637 $0.00637
Haiku 4.5 $0.00319 $0.00319

Measured 4d ago against content hash ae5b064a9fb7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

quill 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 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.

CLAUDE.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 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.

Commands

# Install
pip install -e ".[ui,dev]"

# Install, fast (uv resolves/installs the same extras in seconds; dev-only
# tooling — releases still build with pip + the pinned system Python)
uv pip install -e ".[ui,dev]"

# Run the app
python -m quill

# Tests (standard)
pytest -q

# Tests, parallel (~5.5 min vs ~9; wx/UI tests stay on one worker — see
# tests/conftest.py pytest_collection_modifyitems for why loadgroup)
pytest -q -n 8 --dist loadgroup

# Fast smoke subset (high-signal core checks; seconds, not minutes)
pytest -m smoke -q

# Single test
pytest tests/unit/core/test_paths.py -x -q

# Run unit + stability
pytest tests/unit/ tests/stability/ -q

# Lint
ruff check .
ruff format --check .

# Scoped type-check (always scoped — never run unscoped mypy)
mypy quill\core quill\io

# Quillin self-lint
python -m quill.tools.quillin_lint <dir> --strict

# Agent standards lint (default: bundled agents dir; pass a path to lint one)
python -m quill.tools.agent_lint quill/core/ai/agents --strict

# Every gate at once, as one accessible scorecard (exit != 0 on any failure)
python -m quill.tools.platform_report

# App icons (regenerate all; --check fails on drift, --preview writes 256/16 PNGs)
python scripts/build_app_icons.py

The tests/conftest.py fixture sets quill.core.paths._DEV_BUILD = True for the whole test session. Any test that sets QUILL_DATA_DIR for isolation depends on this; do not remove it.

Architecture

QUILL is a layered wxPython desktop application with strict import boundaries:

  • quill/core — pure domain logic (documents, command registry, settings, keymap, storage, AI sessions, recovery). No wx imports. Strict-typed; always in scope for mypy.
  • quill/io — format readers/writers (read(path) -> Document, write(doc, path)). No wx. Strict-typed.
  • quill/ui — wxPython shell. main_frame.py is the primary entry point (~27k lines and still the largest module by far); decomposition into feature mixins (see main_frame_vault.py, main_frame_speech.py, main_frame_braille.py, etc.) is the preferred home for new command handlers — add to a mixin, not to main_frame.py. Gradual typing (excluded from mypy).
  • quill/platform/windows — Windows-specific bridges: prism_bridge.py (screen-reader announcements via Prism/pyttsx3), sr_detect.py, dpapi.py, credential_manager.py.
  • quill/stability — cross-cutting runtime safety: safe_subprocess.py, crash_report.py (diagnostic bundles), redaction.py (secret scrubbing), task_manager.py, wx_heartbeat.py, safe_mode.py.
  • quill/tools — internal CI gates: check_banned_patterns.py, module_size_budget.py, network_egress_audit.py, dialog_inventory.py, dialog_button_contract.py, quillin_lint.py, error_code_audit.py.
  • quill/plugins — plugin-facing API surfaces and Quillin (extension) manifest model.

Read the full file on GitHub · 111 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. 4d ago First seen · 111 lines · 3,187 tokens per session scan A ae5b064a9fb7

Subscribe to this mod's changes

quill CLAUDE.md is an instructions file published in the GitHub repository Community-Access/quill (43 stars, last pushed 4d ago), licensed MIT. It adds 3,187 tokens to every session, about $0.0159 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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