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.
npx agentmods add rules/astrogirlnim/skyfimcp/python-developmentgit clone --depth 1 https://github.com/astrogirlnim/SkyFiMCPWhat 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 | $0.00000 | $0.01641 |
| Opus 5 | $0.00000 | $0.00821 |
| Sonnet 5 | $0.00000 | $0.00328 |
| Haiku 4.5 | $0.00000 | $0.00164 |
Grade A, and why
python-development 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.
How it starts
The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Development
// Description: Modern Python development practices with type hints, testing, and AI-friendly patterns // Recommended Globs: **/*.py, **/pyproject.toml, **/requirements.txt, */.env
Project Structure
project_name/
├── src/
│ └── project_name/
│ ├── __init__.py
│ ├── models/
│ ├── services/
│ ├── controllers/
│ └── utils/
├── tests/
│ ├── __init__.py
│ ├── conftest.py
│ ├── unit/
│ └── integration/
├── docs/
├── .env
├── .env.example
├── .gitignore
├── pyproject.toml
├── README.md
└── requirements.txt
Type Annotations
Always use type hints for functions and classes:
from typing import Optional, List, Dict, Any, TypeVar, Generic
from typing_extensions import TypedDict # For Python <3.8
T = TypeVar('T')
class DataResponse(TypedDict):
success: bool
data: Dict[str, Any]
error: Optional[str]
class Repository(Generic[T]):
"""Generic repository pattern implementation.
Args:
model: The model class this repository handles
Attributes:
model_class: Stored model class reference
"""
def __init__(self, model: type[T]) -> None:
self.model_class = model
async def find_by_id(self, id: str) -> Optional[T]:
"""Retrieve an entity by its ID.
Args:
id: The unique identifier of the entity
Returns:
Optional[T]: The found entity or None
"""
# Implementation
...
Testing with Pytest
Use pytest fixtures and type annotations in tests:
from typing import TYPE_CHECKING, AsyncGenerator
import pytest
from httpx import AsyncClient
if TYPE_CHECKING:
from _pytest.capture import CaptureFixture
from _pytest.fixtures import FixtureRequest
from _pytest.logging import LogCaptureFixture
from _pytest.monkeypatch import MonkeyPatch
from pytest_mock.plugin import MockerFixture
@pytest.fixture
async def client() -> AsyncGenerator[AsyncClient, None]:
"""Create async test client.
Yields:
AsyncClient: The test client instance
"""
async with AsyncClient() as client:
yield client
@pytest.mark.asyncio
async def test_create_user(
client: AsyncClient,
mocker: MockerFixture,
caplog: LogCaptureFixture,
) -> None:
"""Test user creation endpoint.
Args:
client: The test client
mocker: Pytest mocker fixture
caplog: Pytest log capture fixture
"""
response = await client.post('/users', json={
'username': 'test_user',
'email': '[email protected]'
})
assert response.status_code == 201
assert 'User created successfully' in caplog.text
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 · 282 lines · 1,641 tokens per session scan A 732594e674fa
python-development is a cursor rule published in the GitHub repository astrogirlnim/SkyFiMCP (1 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,641 tokens. 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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