awesome-cursor-rules-mdc is a generator that creates Cursor MDC rule files from structured library information, using semantic search and language models to gather and organize guidance. Developers use it to produce reusable rules for libraries in Cursor, and the catalogue includes 200 of those rules.
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.
git clone --depth 1 https://github.com/sanjeed5/awesome-cursor-rules-mdcWrote 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.
[](https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/django)<a href="https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/django"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/django/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/django"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/django.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02043 | $0.02043 |
| Opus 5.5 | $0.00817 | $0.00817 |
| Sonnet 5.5 | $0.00409 | $0.00409 |
| Haiku 4.5 | $0.00204 | $0.00204 |
Grade A, and why
django 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 1mo 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 — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
django Best Practices
This guide outlines the definitive best practices for developing Django applications, ensuring maintainability, performance, and security. Adhere to these rules for consistent, high-quality code.
1. Code Organization & Project Structure
Adopt the src-layout for clear separation of concerns. Keep apps focused on a single domain.
-
Project Layout (
src-layout):. ├── manage.py ├── src/ │ ├── config/ # Project-level settings, URLs, WSGI/ASGI │ │ ├── __init__.py │ │ ├── settings/ │ │ │ ├── __init__.py │ │ │ ├── base.py │ │ │ ├── development.py │ │ │ └── production.py │ │ └── urls.py │ ├── apps/ # Domain-driven Django apps │ │ ├── users/ │ │ │ ├── models.py │ │ │ ├── views.py │ │ │ └── tests/ │ │ ├── products/ │ │ └── ... │ └── common/ # Reusable utilities, abstract base models, etc. └── requirements.txt -
Split Settings: Use
django-environfor environment-specific settings. Never commit secrets.❌ BAD: Hardcoding secrets, single
settings.py# config/settings.py DEBUG = True SECRET_KEY = 'super-secret-dev-key' DATABASES = {'default': {'ENGINE': 'django.db.backends.sqlite3', 'NAME': BASE_DIR / 'db.sqlite3'}}✅ GOOD: Environment variables, split files
# src/config/settings/base.py import environ env = environ.Env() environ.Env.read_env() # reads .env file SECRET_KEY = env('SECRET_KEY') DEBUG = env.bool('DEBUG', default=False) ALLOWED_HOSTS = env.list('ALLOWED_HOSTS', default=[]) # src/config/settings/development.py from .base import * DEBUG = True DATABASES = {'default': env.db('DATABASE_URL', default='sqlite:///db.sqlite3')} # .env file (not committed to VCS) SECRET_KEY=your_actual_secret_key DEBUG=True DATABASE_URL=postgres://user:pass@host:port/dbname
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.
- 1mo ago First seen · 264 lines · 0 tokens per session scan A 5bad357ef893
django is a cursor rule published in the GitHub repository sanjeed5/awesome-cursor-rules-mdc (3,576 stars, last pushed 5mo ago), licensed CC0-1.0. It adds 2,043 tokens to every session, about $0.0082 per session on Opus 5.5. 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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