AccessiWeather: Instructions file for GitHub Copilot

.github/copilot-instructions.md

AccessiWeather copilot-instructions.md is an instructions file for GitHub Copilot from Orinks/AccessiWeather. It costs 463 tokens per session, scanned A, original, MIT.

Instructions for GitHub Copilot when changing AccessiWeather, a cross-platform Python weather application built with wxPython.

In plain words
What is it for?
Finding the right files, working safely with wxPython interfaces, running tests and checks, and building the application.
Why use it?
They explain the application’s structure, weather data sources, interface conventions, and required development checks.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is Orinks/AccessiWeather's own configuration. It tells GitHub Copilot 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 →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python installer/build_nuitka.py.

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/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/Orinks/AccessiWeather

Made for: GitHub Copilot.

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 AccessiWeather copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/orinks/accessiweather/copilot-instructions.svg)](https://agentmods.dev/instructions/orinks/accessiweather/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/orinks/accessiweather/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/orinks/accessiweather/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 463 This file is loaded in full into every session.
When invoked 463 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 $0.00463 $0.00463
Opus 5 $0.00231 $0.00231
Sonnet 5 $0.00093 $0.00093
Haiku 4.5 $0.00046 $0.00046

Measured 3d ago against content hash 672aaf60c820, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

AccessiWeather copilot-instructions.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.

.github/copilot-instructions.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AccessiWeather AI Coding Agent Instructions

AccessiWeather is a cross-platform accessible desktop weather app built with Python and wxPython. It targets Python 3.11+ and uses Nuitka packaging scripts for desktop artifacts.

Architecture

  • Entry point: src/accessiweather/main.py
  • App orchestration: src/accessiweather/app.py
  • UI: src/accessiweather/ui/
  • Config: src/accessiweather/config/
  • API clients: src/accessiweather/api/
  • Weather orchestration: src/accessiweather/weather_client.py
  • Alerts: src/accessiweather/alert_manager.py and src/accessiweather/alert_notification_system.py

Weather source strategy:

  • NWS for supported US locations.
  • Open-Meteo for international locations and non-alert fallback data.
  • Visual Crossing for optional enhanced alert/weather data when configured.

Development Commands

uv run accessiweather
pytest -n auto -v --tb=short
ruff check --fix . && ruff format .
pyright
python installer/build_nuitka.py

wxPython Patterns

  • Keep UI work on the wx main thread; use wx.CallAfter when crossing thread boundaries.
  • Prefer existing src/accessiweather/ui/ dialogs and helpers over adding new UI patterns.
  • Add accessible names/descriptions/status text for new interactive controls.
  • Preserve keyboard access and Escape/Cancel behavior in dialogs.
  • Tests use the wx stub in tests/conftest.py by default. Use ACCESSIWEATHER_ALLOW_REAL_WX_IN_TESTS=1 only for intentional real-wx checks.

Testing

  • Unit tests should mock external APIs and OS services.
  • Add focused regression tests before fixes.
  • Use integration tests only when cassette-backed or explicitly intended to touch live services.
  • Run diff coverage for PRs when the CI gate is likely to care.

Conventions

  • Use modern type hints and from __future__ import annotations.
  • Keep line length at 100 and let Ruff format imports/code.
  • Update CHANGELOG.md for user-visible behavior.
  • Use conventional commit messages and PR titles.
  • Use gh api REST PATCH for PR metadata edits.

Read the full file on GitHub · 53 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. 3d ago First seen · 53 lines · 463 tokens per session scan A 672aaf60c820

Subscribe to this mod's changes

AccessiWeather copilot-instructions.md is an instructions file published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 13d ago), licensed MIT. It adds 463 tokens to every session, about $0.0023 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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