pydantic-ai-todo: Instructions file for Codex

AGENTS.md

pydantic-ai-todo AGENTS.md is an instructions file for Codex, OpenCode from vstorm-co/pydantic-ai-todo. It costs 507 tokens per session, scanned A, original, MIT.

A repository instruction file for a Python todo and task-planning toolkit built for Pydantic AI agents. It explains the project structure, common commands, and how storage is supplied to its tools.

In plain words
What is it for?
Use it when developing or reviewing this repository, especially its todo-reading and todo-writing tools, storage layer, models, tests, and build process.
Why use it?
It gives coding assistants the project context needed to run the right tests, checks, formatting, type checks, and build commands.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is vstorm-co/pydantic-ai-todo's own configuration. It tells Codex and OpenCode how to work on pydantic-ai-todo 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 pydantic-ai-todo configures →

Reuse

Borrowing it

Nothing to install: this file belongs to vstorm-co/pydantic-ai-todo. 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/vstorm-co/pydantic-ai-todo/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/vstorm-co/pydantic-ai-todo

Made for: Codex, OpenCode.

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Per session 507 This file is loaded in full into every session.
When invoked 507 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 $0.00507 $0.00507
Opus 5 $0.00253 $0.00253
Sonnet 5 $0.00101 $0.00101
Haiku 4.5 $0.00051 $0.00051

Measured 10d ago against content hash 42f310a21061, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

pydantic-ai-todo 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 10d 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 · 69 lines

What it actually says

AGENTS.md

Instructions for AI coding assistants working on this repository.

Project Overview

pydantic-ai-todo is a standalone todo/task planning toolset for pydantic-ai agents. It provides read_todos and write_todos tools that work with any pydantic-ai agent without requiring specific dependencies.

Quick Reference

Task Command
Install uv sync --group dev
Test uv run pytest
Test + Coverage uv run coverage run -m pytest && uv run coverage report
Lint uv run ruff check .
Format uv run ruff format .
Typecheck uv run pyright
Build uv run python -m build

Architecture

pydantic_ai_todo/
├── types.py      # Todo, TodoItem - Pydantic models
├── storage.py    # TodoStorage, TodoStorageProtocol - state management
├── toolset.py    # create_todo_toolset() - main factory
└── __init__.py   # public API

Key Design: Storage Injection

Tools capture storage via closure, NOT through ctx.deps:

def create_todo_toolset(storage=None):
    _storage = storage or TodoStorage()

    @toolset.tool
    async def read_todos() -> str:  # No ctx parameter!
        return format(_storage.todos)

This pattern ensures compatibility with ANY pydantic-ai agent deps type.

Code Standards

  • Coverage: 100% required - check with uv run coverage report
  • Types: Pyright strict mode - all functions need type annotations
  • Style: ruff handles formatting and linting

Testing

Tests are in tests/ directory. Use pytest-asyncio for async tests:

async def test_write_todos():
    storage = TodoStorage()
    toolset = create_todo_toolset(storage=storage)
    # Test using toolset.tools dict

When Modifying

  1. Run tests after changes: uv run pytest
  2. Check coverage stays at 100%
  3. Run uv run pyright for type errors
  4. Format with uv run ruff format .
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. 10d ago First seen · 69 lines · 507 tokens per session scan A 42f310a21061

Subscribe to this mod's changes

pydantic-ai-todo AGENTS.md is an instructions file published in the GitHub repository vstorm-co/pydantic-ai-todo (76 stars, last pushed 26d ago), licensed MIT. It adds 507 tokens to every session, about $0.0025 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 2026-08-30.

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