django-tdd

django-tdd is a skill for Claude Code, Codex from DVNghiem/FlowDeck. It costs 32 tokens per session (1,602 once invoked), scanned A, original, MIT.

A guide to test-driven development for Django applications. Test-driven development, or TDD, means writing a failing test first, implementing the change, and then improving the code.

In plain words
What is it for?
Use it when writing or adding tests, debugging failures, setting up pytest or Django TestCase, and testing with factory_boy or Django’s test client.
Why use it?
It provides consistent ways to test Django features and diagnose failures instead of relying on manual checks.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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 skills/dvnghiem/flowdeck/django-tdd
Any agent
npx skills add DVNghiem/FlowDeck --skill django-tdd
Clone the repo
git clone --depth 1 https://github.com/DVNghiem/FlowDeck

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for django-tdd

README.md
[![agentmods](https://agentmods.dev/badge/skills/dvnghiem/flowdeck/django-tdd.svg)](https://agentmods.dev/skills/dvnghiem/flowdeck/django-tdd)
Your own site
<a href="https://agentmods.dev/skills/dvnghiem/flowdeck/django-tdd"><img src="https://agentmods.dev/badge/skills/dvnghiem/flowdeck/django-tdd.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,602 The whole file, excluding the scripts and references it only reads on demand.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.01602
Opus 5 $0.00016 $0.00801
Sonnet 5 $0.00006 $0.00320
Haiku 4.5 $0.00003 $0.00160

Measured 6d ago against content hash 133b3921cb8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

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 6d 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.

src/skills/django-tdd/SKILL.md · 298 lines

How it starts

The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Django TDD Skill

Test-driven development workflow for Django applications. Covers pytest fixtures, Django TestCase, factory_boy, and testing patterns.

When to Activate

Activate when:

  • Writing new Django features using TDD workflow
  • Adding tests to existing Django applications
  • Debugging test failures in Django projects
  • Setting up testing infrastructure for Django apps

TDD Workflow

  1. Write a failing test (RED)
  2. Run the test - it should fail
  3. Write minimal implementation (GREEN)
  4. Run tests - they should pass
  5. Refactor (IMPROVE)
  6. Verify coverage

Test Setup

Using pytest with Django

# conftest.py
import pytest
import django
from django.conf import settings

@pytest.fixture(scope="session")
def django_db_setup():
    settings.DATABASES["default"] = {
        "ENGINE": "django.db.backends.sqlite3",
        "NAME": ":memory:",
    }

@pytest.fixture
def api_client():
    from rest_framework.test import APIClient
    return APIClient()

Django TestCase

from django.test import TestCase, Client
from django.urls import reverse
from django.contrib.auth import get_user_model
from .models import Article, Author

User = get_user_model()

class ArticleViewTest(TestCase):
    def setUp(self):
        self.client = Client()
        self.user = User.objects.create_user(
            email='[email protected]',
            password='testpass123'
        )
        self.author = Author.objects.create(name='Author', email='[email protected]')
        self.article = Article.objects.create(
            title='Test',
            content='Content',
            author=self.author,
            status='published'
        )

Testing Views

List View Tests

def test_article_list_view(self):
    response = self.client.get(reverse('article-list'))
    self.assertEqual(response.status_code, 200)
    self.assertContains(response, 'Test')
    self.assertTemplateUsed(response, 'articles/list.html')
    self.assertEqual(len(response.context['articles']), 1)

Read the full file on GitHub · 298 lines

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. 6d ago First seen · 298 lines · 32 tokens per session scan A 133b3921cb8d

Subscribe to this mod's changes

django-tdd is a skill published in the GitHub repository DVNghiem/FlowDeck (24 stars, last pushed 17d ago), licensed MIT. It adds 32 tokens to every session and 1,602 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.

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