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 skills/luohaothu/everything-codex/django-tddnpx skills add Luohaothu/everything-codex --skill django-tddgit clone --depth 1 https://github.com/Luohaothu/everything-codexWhat 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 | $0.00034 | $0.04635 |
| Opus 5 | $0.00017 | $0.02318 |
| Sonnet 5 | $0.00007 | $0.00927 |
| Haiku 4.5 | $0.00003 | $0.00464 |
Grade A, and why
django-tdd 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 729 lines — stays where its author put it; the contents beside it link to each section on GitHub.
使用 TDD 进行 Django 测试
使用 pytest、factory_boy 和 Django REST Framework 进行 Django 应用程序的测试驱动开发。
何时激活
- 编写新的 Django 应用程序时
- 实现 Django REST Framework API 时
- 测试 Django 模型、视图和序列化器时
- 为 Django 项目设置测试基础设施时
Django 的 TDD 工作流
红-绿-重构循环
# Step 1: RED - Write failing test
def test_user_creation():
user = User.objects.create_user(email='[email protected]', password='testpass123')
assert user.email == '[email protected]'
assert user.check_password('testpass123')
assert not user.is_staff
# Step 2: GREEN - Make test pass
# Create User model or factory
# Step 3: REFACTOR - Improve while keeping tests green
设置
pytest 配置
# pytest.ini
[pytest]
DJANGO_SETTINGS_MODULE = config.settings.test
testpaths = tests
python_files = test_*.py
python_classes = Test*
python_functions = test_*
addopts =
--reuse-db
--nomigrations
--cov=apps
--cov-report=html
--cov-report=term-missing
--strict-markers
markers =
slow: marks tests as slow
integration: marks tests as integration tests
测试设置
# config/settings/test.py
from .base import *
DEBUG = True
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:',
}
}
# Disable migrations for speed
class DisableMigrations:
def __contains__(self, item):
return True
def __getitem__(self, item):
return None
MIGRATION_MODULES = DisableMigrations()
# Faster password hashing
PASSWORD_HASHERS = [
'django.contrib.auth.hashers.MD5PasswordHasher',
]
# Email backend
EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend'
# Celery always eager
CELERY_TASK_ALWAYS_EAGER = True
CELERY_TASK_EAGER_PROPAGATES = True
conftest.py
# tests/conftest.py
import pytest
from django.utils import timezone
from django.contrib.auth import get_user_model
User = get_user_model()
@pytest.fixture(autouse=True)
def timezone_settings(settings):
"""Ensure consistent timezone."""
settings.TIME_ZONE = 'UTC'
@pytest.fixture
def user(db):
"""Create a test user."""
return User.objects.create_user(
email='[email protected]',
password='testpass123',
username='testuser'
)
@pytest.fixture
def admin_user(db):
"""Create an admin user."""
return User.objects.create_superuser(
email='[email protected]',
password='adminpass123',
username='admin'
)
@pytest.fixture
def authenticated_client(client, user):
"""Return authenticated client."""
client.force_login(user)
return client
@pytest.fixture
def api_client():
"""Return DRF API client."""
from rest_framework.test import APIClient
return APIClient()
@pytest.fixture
def authenticated_api_client(api_client, user):
"""Return authenticated API client."""
api_client.force_authenticate(user=user)
return api_client
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.
- 2d ago First seen · 729 lines · 34 tokens per session scan A a17f87efa64c
django-tdd is a skill published in the GitHub repository Luohaothu/everything-codex (24 stars, last pushed 22d ago), licensed MIT. It adds 34 tokens to every session and 4,635 once invoked, about $0.0002 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.
Other skills, from other repositories
python-tdd-with-uv
Test-driven development in Python using uv as the package manager. Covers the red-green-refactor cycle, vertical slicing, and uv project setup.
tdd
Strict Python TDD workflow using pytest (Red-Green-Refactor).
lettuce-skill
Generates Lettuce BDD tests for Python with feature files and step definitions. Note: Lettuce is legacy/unmaintained; consider Behave for new projects. Use when user specifically mentions "Lettuce". Triggers on: "Lettuce", "lettuce test", "lettuce BDD".
python-tdd
Python development with TDD using pytest, type checking with mypy, and linting with ruff/black. Use when working on Python projects requiring test-driven development, quality gates, or Python code review. Do NOT use for other programming languages.
wu5-dev-flow
使用可审计的 SDD、严格 RED-GREEN-REFACTOR TDD 与安全 Git 门禁初始化、开发、修复、重构和交付 Python 项目。用于任何会修改项目源码、测试、规格、依赖或 Git 历史的任务,也用于继续跨 Session 的现有 spec/ 变更、审查代码、验证完成状态、创建提交或准备 GitHub PR。.
python-conventions
Team-specific Python conventions — credential management with dotenv, API client rules, LLM response parsing, TDD workflow, and testing patterns for data pipelines.