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/.github/copilot-instructions.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/copilot-instructions)<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>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 | $0.00463 | $0.00463 |
| Opus 5 | $0.00231 | $0.00231 |
| Sonnet 5 | $0.00093 | $0.00093 |
| Haiku 4.5 | $0.00046 | $0.00046 |
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.
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.pyandsrc/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.CallAfterwhen 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.pyby default. UseACCESSIWEATHER_ALLOW_REAL_WX_IN_TESTS=1only 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.mdfor user-visible behavior. - Use conventional commit messages and PR titles.
- Use
gh apiREST PATCH for PR metadata edits.
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 · 53 lines · 463 tokens per session scan A 672aaf60c820
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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