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-orm)<a href="https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/django-orm"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/django-orm/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-orm"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/django-orm.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 | $0.02845 | $0.02845 |
| Opus 5.5 | $0.01138 | $0.01138 |
| Sonnet 5.5 | $0.00569 | $0.00569 |
| Haiku 4.5 | $0.00284 | $0.00284 |
Grade A, and why
django-orm 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 — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
django-orm Best Practices
These rules are your definitive guide for writing robust and performant Django ORM code. Adhere to them strictly to ensure consistency, efficiency, and maintainability across our projects.
1. Model Structure and Naming Conventions
Always follow the official Django style guide for models. Consistency is paramount.
- Naming:
- Models:
PascalCaseand singular. - Fields:
snake_case.
- Models:
- Ordering: Maintain a consistent order within your model definitions.
# ❌ BAD: Inconsistent naming, poor ordering
from django.db import models
class books(models.Model):
BookTitle = models.CharField(max_length=200)
author_name = models.CharField(max_length=100)
def __str__(self):
return self.BookTitle
class Meta:
ordering = ['BookTitle']
# ✅ GOOD: Adheres to conventions
from django.db import models
from django.urls import reverse
class Book(models.Model):
# 1. Choices (if any)
class Status(models.TextChoices):
DRAFT = "DR", "Draft"
PUBLISHED = "PB", "Published"
# 2. Database Fields
title = models.CharField(max_length=200, verbose_name="Book Title")
author = models.ForeignKey('Author', on_delete=models.CASCADE, related_name="books")
status = models.CharField(max_length=2, choices=Status.choices, default=Status.DRAFT)
created_at = models.DateTimeField(auto_now_add=True)
# 3. Custom Managers (if any)
# objects = BookManager()
# 4. Meta class
class Meta:
verbose_name = "book"
verbose_name_plural = "books"
ordering = ["-created_at", "title"] # Default ordering
indexes = [
models.Index(fields=['title']),
models.Index(fields=['author', 'status']),
]
# 5. __str__ method
def __str__(self):
return f"{self.title} by {self.author.name}"
# 6. save() method (if overridden)
# def save(self, *args, **kwargs):
# super().save(*args, **kwargs)
# 7. get_absolute_url() method
def get_absolute_url(self):
return reverse("book_detail", args=[str(self.id)])
# 8. Custom methods (if any)
def is_published(self):
return self.status == self.Status.PUBLISHED
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 · 330 lines · 0 tokens per session scan A 4c34da7ca609
django-orm is a cursor rule published in the GitHub repository sanjeed5/awesome-cursor-rules-mdc (3,574 stars, last pushed 5mo ago), licensed CC0-1.0. It adds 2,845 tokens to every session, about $0.0114 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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