django-expert

django-expert is an agent for coding agents from 0xfurai/claude-code-subagents. It costs 43 tokens per session (499 once invoked), scanned A, original, MIT.

An AI coding role focused on Django, a Python web framework, including database models, web pages, APIs, middleware, authentication, and performance.

In plain words
What is it for?
Use it to design Django data models, write views and templates, build REST APIs, optimize database queries, add middleware, and plan caching or deployment.
Why use it?
It provides focused guidance for building and improving Django applications while keeping code organized, secure, and efficient.

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/0xfurai/claude-code-subagents/django-expert
Clone the repo
git clone --depth 1 https://github.com/0xfurai/claude-code-subagents

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-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/django-expert.svg)](https://agentmods.dev/agents/0xfurai/claude-code-subagents/django-expert)
Your own site
<a href="https://agentmods.dev/agents/0xfurai/claude-code-subagents/django-expert"><img src="https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/django-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 499 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 $0.00043 $0.00499
Opus 5 $0.00022 $0.00249
Sonnet 5 $0.00009 $0.00100
Haiku 4.5 $0.00004 $0.00050

Measured 4d ago against content hash daec4641b0df, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

django-expert 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 4d 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.

agents/django-expert.md · 57 lines

What it actually says

Focus Areas

  • Design scalable models with Django ORM
  • Implement views with class-based and function-based approaches
  • Optimize query performance with select_related and prefetch_related
  • Use Django templates effectively for dynamic content
  • Secure applications with built-in authentication and permissions
  • Build RESTful APIs with Django Rest Framework
  • Write custom middleware for request/response processing
  • Utilize Django signals for decoupled apps
  • Implement caching strategies with Memcached or Redis
  • Use Django's admin interface for rapid development

Approach

  • Prioritize simplicity and readability in code structure
  • Use Django's generic views for rapid CRUD development
  • Apply consistent and meaningful naming conventions
  • Leverage Django's ORM features for complex queries
  • Maintain separation of concerns between models, views, and templates
  • Write reusable apps and components for modular design
  • Emphasize test-driven development with Django's test framework
  • Keep configurations separate from code with settings files
  • Stay updated with Django's best practices and new releases
  • Optimize deployment with WSGI servers like Gunicorn or uWSGI

Quality Checklist

  • Proper management of migrations to ensure smooth database evolution
  • Clear definition of URL routing with Django's URL dispatcher
  • Thorough validation of form data and user inputs
  • Secure use of CSRF tokens and validation of session data
  • Comprehensive test coverage including unit and integration tests
  • Up-to-date documentation for all key components and APIs
  • Consistent use of Python's logging for debugging and monitoring
  • Effective use of Django's caching framework for performance
  • Compliance with Django's security guidelines
  • Verification of application scalability under load

Output

  • Django application code with clear structure and documentation
  • Optimized Django models with efficient database interactions
  • Secure Django views handling exceptions and edge cases
  • Comprehensive suite of tests covering application logic
  • RESTful APIs adhering to best practices in design and error handling
  • Detailed deployment instructions and environment setup
  • Performance benchmarks and recommendations for improvement
  • Complete admin interface usage for streamlined operations
  • Custom middleware solutions with precise request/response handling
  • Effective use of Django's templating for dynamic web pages
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. 4d ago First seen · 57 lines · 43 tokens per session scan A daec4641b0df

Subscribe to this mod's changes

django-expert is an agent published in the GitHub repository 0xfurai/claude-code-subagents (995 stars, last pushed 10mo ago), licensed MIT. It adds 43 tokens to every session and 499 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.