Skip to content
Back to skills

Django

ASecurity

Use when building Django applications. Covers ORM query performance, model design, migrations, Django REST Framework, security defaults, and testing.

  • 26 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added September 6, 2026
ai-agentspythongoshellsqldjangotestingapidatabasebackendsecurity

Works with

  • api

Security analysis

A100/100

Scanned September 6, 2026

npx -y skills add nimadorostkar/Claude-Skills-collection --skill django --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Django?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Django
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/nimadorostkar-django/badge)](https://www.skillsdirectory.com/skills/nimadorostkar-django)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: django
description: Use when building Django applications. Covers ORM query performance, model design, migrations, Django REST Framework, security defaults, and testing.
metadata:
  category: backend
  version: 1.0.0
  tags: [django, orm, drf, migrations, python]
---

# Django

## Purpose

Build Django applications that use the ORM efficiently and the framework's security defaults correctly. Most Django performance problems are one missing `select_related` away from being fixed.

## When to Use

- Building or reviewing a Django application or DRF API.
- Diagnosing slow views caused by the ORM.
- Writing migrations that must run against a large table.
- Auditing Django security settings before launch.

## Capabilities

- ORM: `select_related`, `prefetch_related`, annotations, subqueries, bulk operations.
- Model design: constraints, indexes, and validation at the database level.
- Migrations, including zero-downtime patterns for large tables.
- Django REST Framework: serializers, viewsets, permissions, pagination.
- Security: the settings that must not be wrong in production.

## Inputs

- The application, its models, and the slow view or endpoint if there is one.
- Table sizes, for anything involving migrations.
- Deployment environment and settings module.

## Outputs

- Views with a bounded, predictable query count.
- Migrations that do not lock a large table.
- Settings that pass `manage.py check --deploy`.

## Workflow

1. **Count the queries** — `assertNumQueries` in tests, `django-debug-toolbar` in development. An N+1 is invisible until you count.
2. **Fix them at the queryset** — `select_related` for forward foreign keys (a join), `prefetch_related` for reverse and many-to-many (a second query). Not both, not neither.
3. **Push work into the database** — `annotate`, `aggregate`, `bulk_create`, `update`. A loop that saves each object issues one query per iteration.
4. **Constrain at the database** — `UniqueConstraint`, `CheckConstraint`. Application-level validation does not survive concurrency or a shell script.
5. **Migrate safely** — On a large table, adding a column with a default rewrites it. Add nullable, backfill in batches, then set the default.
6. **Check the deploy settings** — `DEBUG = False`, `ALLOWED_HOSTS`, `SECURE_*`, `SECRET_KEY` from the environment.

## Best Practices

- `queryset.count()` inside a template loop is a query per iteration. Annotate the count once.
- `.only()` and `.defer()` are traps if the deferred field is later accessed — each access is a new query. Use them only when profiling shows they help.
- Never use `objects.all()` in a view without pagination. It will work fine until the table has a million rows.
- Signals create action at a distance and make tests fragile. Prefer explicit calls in a service function.
- `bulk_create` does not call `save()` or fire signals — which is the point, and also the footgun. Know which behavior you need.
- Run `manage.py check --deploy` in CI. It catches the settings that turn into vulnerabilities.

## Examples

**Removing an N+1 and pushing aggregation into the database:**

```python
# Before: 1 query for orders + 1 per customer + 1 per line-item count = ~2N+1.
orders = Order.objects.filter(status="open")
for order in orders:
    print(order.customer.name, order.items.count())

# After: 2 queries total, count computed by the database.
orders = (
    Order.objects
    .filter(status="open")
    .select_related("customer")                       # join
    .annotate(item_count=Count("items"))              # aggregate in SQL
)
for order in orders:
    print(order.customer.name, order.item_count)
```

**Database-level constraint rather than a hopeful `clean()`:**

```python
class Subscription(models.Model):
    tenant = models.ForeignKey(Tenant, on_delete=models.CASCADE)
    period_start = models.DateField()
    period_end = models.DateField()

    class Meta:
        constraints = [
            models.UniqueConstraint(
                fields=["tenant", "period_start"],
                name="uniq_subscription_period",
            ),
            models.CheckConstraint(
                check=models.Q(period_end__gt=models.F("period_start")),
                name="period_end_after_start",
            ),
        ]
```

## Notes

- `select_related` on a nullable foreign key produces a LEFT JOIN and can multiply rows through a chain. Check the generated SQL with `str(qs.query)` when the query count looks right but the latency does not.
- Adding an index on a large PostgreSQL table blocks writes unless you use `AddIndexConcurrently` inside a `NonAtomic` migration.
- DRF's `ModelSerializer` will happily expose every field on the model. Always list `fields` explicitly; `__all__` is how private fields end up in a public API.

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.