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.
curl -O https://raw.githubusercontent.com/vstorm-co/pydantic-ai-todo/main/AGENTS.mdgit clone --depth 1 https://github.com/vstorm-co/pydantic-ai-todoWrote 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/vstorm-co/pydantic-ai-todo/agents-md)<a href="https://agentmods.dev/instructions/vstorm-co/pydantic-ai-todo/agents-md"><img src="https://agentmods.dev/badge/instructions/vstorm-co/pydantic-ai-todo/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.
<a href="https://agentmods.dev/instructions/vstorm-co/pydantic-ai-todo/agents-md"><img src="https://agentmods.dev/badge/instructions/vstorm-co/pydantic-ai-todo/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00507 | $0.00507 |
| Opus 5.5 | $0.00203 | $0.00203 |
| Sonnet 5.5 | $0.00101 | $0.00101 |
| Haiku 4.5 | $0.00051 | $0.00051 |
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 2mo 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.
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
- Run tests after changes:
uv run pytest - Check coverage stays at 100%
- Run
uv run pyrightfor type errors - Format with
uv run ruff format .
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.
- 2mo ago First seen · 69 lines · 507 tokens per session scan A 42f310a21061
pydantic-ai-todo AGENTS.md is an instructions file published in the GitHub repository vstorm-co/pydantic-ai-todo (76 stars, last pushed 9d ago), licensed MIT. It adds 507 tokens to every session, about $0.0020 per session on Opus 5.5. 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.
pydantic-ai-todo AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pydantic-ai-todo AGENTS.mdvstorm-co/pydantic-ai-todo | Instructions file | 76 | 9d ago | MIT | A | 507 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |