What is pyproject AGENTS.md?

Repository instructions for a Python project organized with Clean Architecture, where business logic is kept separate from user interfaces and external systems. They define the required tools, code structure, typing rules, and tests.

Use them when adding Python code, deciding where modules belong, formatting or type-checking, and running lint, unit, integration, or end-to-end tests.

They make dependencies flow in the intended direction and provide mandatory commands and testing practices for consistent changes.

pyproject AGENTS.md — Instructions file by draincoder

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add instructions/draincoder/pyproject/agents-md

Clone the repo

git clone --depth 1 https://github.com/draincoder/pyproject

Made for: Codex, OpenCode.

Per session 369 This file is loaded in full into every session.

When invoked 369 The same file — it is already loaded in full.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00369	$0.00369
Opus 5	$0.00185	$0.00185
Sonnet 5	$0.00074	$0.00074
Haiku 4.5	$0.00037	$0.00037

Measured yesterday against content hash 34dd2a0d2b44, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pyproject 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 yesterday.

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 · 80 lines

What it actually says

Project Structure

config/
docker/
src/
  domain/
  application/
  infrastructure/
  presentation/
tests/
  unit/
  integration/
  e2e/

Rules:

Dependencies flow inward: presentation → application → domain
domain contains only business logic, no external dependencies
infrastructure implements interfaces defined in application

Architecture Principles (if applicable)

Follow Clean Architecture by default
Depend on abstractions, not concrete implementations
Extend behavior via composition, not modification
Keep modules small with a single responsibility

Tooling & Standards (Mandatory)

Python 3.14
Task runner: just
Formatting & linting: Ruff
Type checking: mypy
Testing: pytest with coverage
All code must be fully type annotated

Common commands:

just install
just lint
just test
just run
just up
just down

Testing Rules (Mandatory)

Tests mirror src/ structure
Use unit/, integration/, e2e/
Use Arrange / Act / Assert with explicit comments
Do not add comments in tests except parametrization case descriptions
Name tests by behavior and expected outcome
Prefer unit tests; add integration tests when behavior spans layers
Keep tests deterministic, fast, and isolated from network/IO

Commit & Pull Request Rules

Use Conventional Commits (e.g. feat: add auth middleware)
PRs must include a concise description and motivation

Local Configuration

Before running locally:

cp config/template.config.yaml config/config.yaml
cp config/template.env config/.env

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.

yesterday First seen · 80 lines · 369 tokens per session scan A 34dd2a0d2b44

Subscribe to this mod's changes

pyproject AGENTS.md is an instructions file published in the GitHub repository draincoder/pyproject (5 stars, last pushed 1mo ago), licensed MIT. It adds 369 tokens to every session, about $0.0018 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.

Code review Git and workflow Testing

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 tokens

buildNext

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

pyproject AGENTS.md