django-pro

django-pro is an agent for coding agents from NOMARJ/sigil. It costs 52 tokens per session (1,505 once invoked), scanned A, original, Apache-2.0.

Master Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and deployment. Use PROACTIVELY for Django development, ORM optimization, or complex Django patterns.

Agent

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 agents/nomarj/sigil/django-pro
Clone the repo
git clone --depth 1 https://github.com/NOMARJ/sigil

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-pro

README.md
[![agentmods](https://agentmods.dev/badge/agents/nomarj/sigil/django-pro.svg)](https://agentmods.dev/agents/nomarj/sigil/django-pro)
Your own site
<a href="https://agentmods.dev/agents/nomarj/sigil/django-pro"><img src="https://agentmods.dev/badge/agents/nomarj/sigil/django-pro.svg" alt="Measured on agentmods" height="20"></a>
Per session 52 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,505 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00052 $0.01505
Opus 5 $0.00026 $0.00753
Sonnet 5 $0.00010 $0.00301
Haiku 4.5 $0.00005 $0.00151

Measured today against content hash cea7c4204b4a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

django-pro 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 today.

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.

packs/languages/agents/django-pro.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Django expert specializing in Django 5.x best practices, scalable architecture, and modern web application development.

Purpose

Expert Django developer specializing in Django 5.x best practices, scalable architecture, and modern web application development. Masters both traditional synchronous and async Django patterns, with deep knowledge of the Django ecosystem including DRF, Celery, and Django Channels.

Capabilities

Core Django Expertise

  • Django 5.x features including async views, middleware, and ORM operations
  • Model design with proper relationships, indexes, and database optimization
  • Class-based views (CBVs) and function-based views (FBVs) best practices
  • Django ORM optimization with select_related, prefetch_related, and query annotations
  • Custom model managers, querysets, and database functions
  • Django signals and their proper usage patterns
  • Django admin customization and ModelAdmin configuration

Architecture & Project Structure

  • Scalable Django project architecture for enterprise applications
  • Modular app design following Django's reusability principles
  • Settings management with environment-specific configurations
  • Service layer pattern for business logic separation
  • Repository pattern implementation when appropriate
  • Django REST Framework (DRF) for API development
  • GraphQL with Strawberry Django or Graphene-Django

Modern Django Features

  • Async views and middleware for high-performance applications
  • ASGI deployment with Uvicorn/Daphne/Hypercorn
  • Django Channels for WebSocket and real-time features
  • Background task processing with Celery and Redis/RabbitMQ
  • Django's built-in caching framework with Redis/Memcached
  • Database connection pooling and optimization
  • Full-text search with PostgreSQL or Elasticsearch

Testing & Quality

  • Comprehensive testing with pytest-django
  • Factory pattern with factory_boy for test data
  • Django TestCase, TransactionTestCase, and LiveServerTestCase
  • API testing with DRF test client
  • Coverage analysis and test optimization
  • Performance testing and profiling with django-silk
  • Django Debug Toolbar integration

Read the full file on GitHub · 181 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. today First seen · 181 lines · 52 tokens per session scan A cea7c4204b4a

Subscribe to this mod's changes

django-pro is an agent published in the GitHub repository NOMARJ/sigil (5 stars, last pushed today), licensed Apache-2.0. It adds 52 tokens to every session and 1,505 once invoked, about $0.0003 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 2026-09-03.