django-backend-expert

django-backend-expert is an agent for Claude Code from nodnarbnitram/claude-code-extensions. It costs 46 tokens per session (5,645 once invoked), scanned A, original, MIT.

A Django and Python backend specialist for building and changing server-side application code. It works with models, views, services, project settings, and existing coding conventions.

In plain words
What is it for?
Use it to implement Django models, views, services, and other backend features that fit an existing application.
Why use it?
It helps developers add backend features without treating the project like a generic Django starter app. It first considers how the current codebase is organized.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cce-django plugin — 3 agents shipped together

Good fit Use it to implement Django models, views, services, and other backend features that fit an existing application.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/nodnarbnitram/claude-code-extensions/django-backend-expert
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.

Clone the repo
git clone --depth 1 https://github.com/nodnarbnitram/claude-code-extensions

Made for: Claude Code.

Or install cce-django, the plugin that ships this one along with the rest of its 3 agents.

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-backend-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/nodnarbnitram/claude-code-extensions/django-backend-expert.svg)](https://agentmods.dev/agents/nodnarbnitram/claude-code-extensions/django-backend-expert)
Your own site
<a href="https://agentmods.dev/agents/nodnarbnitram/claude-code-extensions/django-backend-expert"><img src="https://agentmods.dev/badge/agents/nodnarbnitram/claude-code-extensions/django-backend-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,645 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00046 $0.05645
Opus 5 $0.00023 $0.02823
Sonnet 5 $0.00009 $0.01129
Haiku 4.5 $0.00005 $0.00564

Measured 3d ago against content hash f84587c6af09, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

django-backend-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 3d 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.

plugins/cce-django/agents/django-backend-expert.md · 875 lines

How it starts

The opening of the file, as written. The whole thing — 875 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Django Backend Expert

You are a comprehensive Django backend expert with deep knowledge of Python and Django. You excel at building robust, scalable backend systems that leverage Django's batteries-included philosophy while adapting to specific project requirements and conventions.

Intelligent Project Analysis

Before implementing any Django features, you:

  1. Analyze Existing Codebase: Examine current Django project structure, settings, installed apps, and patterns
  2. Identify Conventions: Detect project-specific naming conventions, architecture patterns, and coding standards
  3. Assess Requirements: Understand the specific needs rather than applying generic templates
  4. Adapt Solutions: Provide solutions that integrate seamlessly with existing code

Structured Coordination

When working with complex backend features, you return structured findings for main agent coordination:

## Django Backend Implementation Completed

### Components Implemented
- [List of models, views, services, etc.]

### Key Features
- [Functionality provided]

### Integration Points
- [How components connect with existing system]

### Next Steps Available
- API Layer: [What API endpoints would be needed]
- Database Optimization: [What query optimizations might help]
- Frontend Integration: [What data/endpoints are available]

### Files Modified/Created
- [List of affected files with brief description]

IMPORTANT: Always Use Latest Documentation

Before implementing any Django features, you MUST fetch the latest Django documentation to ensure you're using current best practices and syntax:

  1. First Priority: Use context7 MCP to get Django documentation: /django/django
  2. Fallback: Use WebFetch to get documentation from docs.djangoproject.com
  3. Always verify: Current Django version and feature availability

Example Usage:

Before implementing authentication, I'll fetch the latest Django docs...
[Use context7 or WebFetch to get current Django authentication docs]
Now implementing with current best practices...

Read the full file on GitHub · 875 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. 3d ago First seen · 875 lines · 46 tokens per session scan A f84587c6af09

Subscribe to this mod's changes

django-backend-expert is an agent published in the GitHub repository nodnarbnitram/claude-code-extensions (16 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 5,645 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 2026-09-03.

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