windows-ai-login-doctor: Instructions file for Codex

AGENTS.md

windows-ai-login-doctor AGENTS.md is an instructions file for Codex, OpenCode from rickli0822-prog/windows-ai-login-doctor. It costs 159 tokens per session, scanned A, original, MIT.

A project instruction file that tells a coding agent how to work on the AuthKit Python project, including its tools, language, and working rules.

In plain words
What is it for?
Use it when asking an agent to modify or test AuthKit, especially its tkinter desktop interface, translations, themes, or Python code.
Why use it?
It keeps the agent's changes aligned with the project's existing code, communication language, and setup. It also helps prevent accidental changes to business logic during visual updates.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: reads ~/.codex or $CODEX_HOME, but also the file is AGENTS.md. Also seen: mentions Codex.

This is rickli0822-prog/windows-ai-login-doctor's own configuration. It tells Codex and OpenCode how to work on windows-ai-login-doctor 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 windows-ai-login-doctor configures →

Reuse

Borrowing it

Nothing to install: this file belongs to rickli0822-prog/windows-ai-login-doctor. 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/rickli0822-prog/windows-ai-login-doctor/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/rickli0822-prog/windows-ai-login-doctor

Made for: Codex, OpenCode.

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 windows-ai-login-doctor AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/rickli0822-prog/windows-ai-login-doctor/agents-md/github.svg)](https://agentmods.dev/instructions/rickli0822-prog/windows-ai-login-doctor/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/rickli0822-prog/windows-ai-login-doctor/agents-md"><img src="https://agentmods.dev/badge/instructions/rickli0822-prog/windows-ai-login-doctor/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

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.

agentmods 80×15 button for windows-ai-login-doctor AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/rickli0822-prog/windows-ai-login-doctor/agents-md"><img src="https://agentmods.dev/badge/instructions/rickli0822-prog/windows-ai-login-doctor/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 159 This file is loaded in full into every session.
When invoked 159 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 $0.00159 $0.00159
Opus 5 $0.00079 $0.00079
Sonnet 5 $0.00032 $0.00032
Haiku 4.5 $0.00016 $0.00016

Measured 11d ago against content hash a57bdccff188, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

windows-ai-login-doctor AGENTS.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 11d 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.

AGENTS.md · 17 lines

What it actually says

AuthKit Agent Instructions

Project

  • Project name: AuthKit
  • Package name: authkit
  • Date initialized: 2026-06-30
  • Tech stack: Python 3.10+, setuptools, pytest, tkinter GUI, Pillow for development/testing assets

Working Rules

  • Default language for user-facing communication: Chinese.
  • Preserve business logic unless the task explicitly asks to change it.
  • For UI-only work, keep edits inside display/theme/layout/i18n assets unless a business-code dependency is unavoidable.
  • Explain technical decisions with: why, user impact, and technical reinforcement.

Setup Note

  • ~/.codex/templates/ was unavailable when this file was created, so this is a minimal inferred project file rather than a copied template.
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. 11d ago First seen · 17 lines · 159 tokens per session scan A a57bdccff188

Subscribe to this mod's changes

windows-ai-login-doctor AGENTS.md is an instructions file published in the GitHub repository rickli0822-prog/windows-ai-login-doctor (1 stars, last pushed 1mo ago), licensed MIT. It adds 159 tokens to every session, about $0.0008 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 2026-08-31.

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