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.
curl -O https://raw.githubusercontent.com/Orinks/AccessiWeather/main/CLAUDE.mdgit clone --depth 1 https://github.com/Orinks/AccessiWeatherWrote 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/instructions/orinks/accessiweather/claude-md)<a href="https://agentmods.dev/instructions/orinks/accessiweather/claude-md"><img src="https://agentmods.dev/badge/instructions/orinks/accessiweather/claude-md.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 5.1 | $0.03196 | $0.03196 |
| Opus 5 | $0.01598 | $0.01598 |
| Sonnet 5 | $0.00639 | $0.00639 |
| Haiku 4.5 | $0.00320 | $0.00320 |
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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 463 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.
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.
- 3d ago First seen · 463 lines · 3,196 tokens per session scan A 9049081283ef
AccessiWeather CLAUDE.md is an instructions file published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 12d ago), licensed MIT. It adds 3,196 tokens to every session, about $0.0160 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 2026-09-03.
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