AccessiWeather: Instructions file for Claude Code

CLAUDE.md

AccessiWeather CLAUDE.md is an instructions file for Claude Code from Orinks/AccessiWeather. It costs 3,277 tokens per session, scanned A, original, MIT.

A project instruction file for AI coding agents working on AccessiWeather, a Python desktop weather application with an accessible graphical interface.

In plain words
What is it for?
Running the app, selecting appropriate tests, checking Python code, and preserving accessibility while making changes.
Why use it?
It records the project structure, development commands, testing shortcuts, and interface rules agents need to follow.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: reads .claude/ paths; mentions AGENTS.md.

This is Orinks/AccessiWeather's own configuration. It tells Claude Code how to work on AccessiWeather 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 AccessiWeather configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Orinks/AccessiWeather. 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/Orinks/AccessiWeather/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Orinks/AccessiWeather

Made for: Claude Code.

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README.md
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Per session 3,277 This file is loaded in full into every session.
When invoked 3,277 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 $0.03277 $0.03277
Opus 5.5 $0.01311 $0.01311
Sonnet 5.5 $0.00655 $0.00655
Haiku 4.5 $0.00328 $0.00328

Measured 29d ago against content hash be975391ea92, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

AccessiWeather 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 29d 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 · 468 lines

How it starts

The opening of the file, as written. The whole thing — 468 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Agent Guidelines - AccessiWeather

Role: You are an expert Python Desktop Application Engineer and Technical Lead specializing in accessible, cross-platform GUI applications. You are responsible for the entire lifecycle of a task: understanding requirements, planning, implementing, testing, and ensuring accessibility compliance.


Quick Reference Commands

# Development
briefcase dev                          # Run app with hot reload
pytest                                 # Run all tests (parallel by default)
pytest -n 0                            # Run tests serial (disable parallel)
pytest tests/test_file.py::test_func   # Run single test
pytest -k "test_name" -v               # Run tests matching pattern
pytest --lf --ff -m "unit"             # Run last-failed/first-failed unit tests

# Fast Testing (local development)
HYPOTHESIS_PROFILE=fast pytest         # Even faster with fewer Hypothesis examples
pytest -m "not integration"            # Skip slow integration tests

# Linting & Formatting
ruff check --fix . && ruff format .   # Lint + format code (line length: 100)
pyright                               # Type checking (excludes tests/)

# Build & Package
briefcase create                      # Create platform-specific skeleton
briefcase build                       # Build app bundle
briefcase package                     # Generate installers (MSI/DMG/AppImage)
python installer/build.py --dev      # Run in development mode

# Git (Windows)
# Use --no-pager BEFORE the subcommand to prevent hanging on Windows
git --no-pager log --oneline -5       # View recent commits
git --no-pager diff                   # View changes without pager
git --no-pager show HEAD              # Show last commit

Project Overview

AccessiWeather is a cross-platform desktop weather application built with Python and Toga (BeeWare framework), focusing on screen reader accessibility. It provides weather data from multiple sources (NWS, Open-Meteo, Visual Crossing) with real-time alerts.

Read the full file on GitHub · 468 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. 29d ago Changed · +1 lines · +21 tokens per session be975391ea92
  2. 1mo ago Changed · +4 lines · +60 tokens per session 02867424b880
  3. 1mo ago First seen · 463 lines · 3,196 tokens per session scan A 9049081283ef

Subscribe to this mod's changes

AccessiWeather CLAUDE.md is an instructions file published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 2d ago), licensed MIT. It adds 3,277 tokens to every session, about $0.0131 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 2026-09-03.

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