django-security

A security guide for Django, the Python web framework. It covers login and permissions, protection against request forgery, database injection, cross-site scripting, and secure production settings.

In plain words
What is it for?
Use it when building authentication, roles, and permissions, reviewing a Django application, configuring HTTPS and cookies, or preparing a production deployment.
Why use it?
It helps identify common web security risks and configure Django safely for production. It also keeps secrets and security-sensitive settings out of hard-coded application code.

Skill for Claude CodeCodex

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 skills/junmystery/agent-guidance-python/django-security
Any agent
npx skills add JunMystery/Agent-Guidance-Python --skill django-security
Clone the repo
git clone --depth 1 https://github.com/JunMystery/Agent-Guidance-Python

Made for: Claude Code, Codex.

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,966 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 91% copy Near-identical to another mod 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 $0.00030 $0.03966
Opus 5 $0.00015 $0.01983
Sonnet 5 $0.00006 $0.00793
Haiku 4.5 $0.00003 $0.00397

Measured 2d ago against content hash 718928a11187, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

django-security 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 2d 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.

Origin

This is a copy

91% identical to django-security — 71 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/django-security/SKILL.md · 645 lines

How it starts

The opening of the file, as written. The whole thing — 645 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Django Security Best Practices

Comprehensive security guidelines for Django applications to protect against common vulnerabilities.

When to Activate

  • Setting up Django authentication and authorization
  • Implementing user permissions and roles
  • Configuring production security settings
  • Reviewing Django application for security issues
  • Deploying Django applications to production

Core Security Settings

Production Settings Configuration

# settings/production.py
import os

DEBUG = False  # CRITICAL: Never use True in production

ALLOWED_HOSTS = os.environ.get('ALLOWED_HOSTS', '').split(',')

# Security headers
SECURE_SSL_REDIRECT = True
SESSION_COOKIE_SECURE = True
CSRF_COOKIE_SECURE = True
SECURE_HSTS_SECONDS = 31536000  # 1 year
SECURE_HSTS_INCLUDE_SUBDOMAINS = True
SECURE_HSTS_PRELOAD = True
SECURE_CONTENT_TYPE_NOSNIFF = True
SECURE_BROWSER_XSS_FILTER = True
X_FRAME_OPTIONS = 'DENY'

# HTTPS and Cookies
SESSION_COOKIE_HTTPONLY = True
CSRF_COOKIE_HTTPONLY = True
SESSION_COOKIE_SAMESITE = 'Lax'
CSRF_COOKIE_SAMESITE = 'Lax'

# Secret key (must be set via environment variable)
SECRET_KEY = os.environ.get('DJANGO_SECRET_KEY')
if not SECRET_KEY:
    raise ImproperlyConfigured('DJANGO_SECRET_KEY environment variable is required')

# Password validation
AUTH_PASSWORD_VALIDATORS = [
    {
        'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
    },
    {
        'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
        'OPTIONS': {
            'min_length': 12,
        }
    },
    {
        'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
    },
    {
        'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
    },
]

Authentication

Custom User Model

# apps/users/models.py
from django.contrib.auth.models import AbstractUser
from django.db import models

class User(AbstractUser):
    """Custom user model for better security."""

    email = models.EmailField(unique=True)
    phone = models.CharField(max_length=20, blank=True)

    USERNAME_FIELD = 'email'  # Use email as username
    REQUIRED_FIELDS = ['username']

    class Meta:
        db_table = 'users'
        verbose_name = 'User'
        verbose_name_plural = 'Users'

    def __str__(self):
        return self.email

# settings/base.py
AUTH_USER_MODEL = 'users.User'

Read the full file on GitHub · 645 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. 2d ago First seen · 645 lines · 30 tokens per session scan A 718928a11187

Subscribe to this mod's changes

django-security is a skill published in the GitHub repository JunMystery/Agent-Guidance-Python (2 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 3,966 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to django-security, differing in 71 lines, and is treated as a copy.

Related

Other skills, from other repositories

common-feedback-reporter

Pre-write audit for skill violations: checks planned code against loaded skill anti-patterns before any file write. Use when writing Flutter/Dart/TS code or editing SKILL.md files with active project skills. Load as composite; on auto-fixed violation, also load +common/common-learning-log.

HoangNguyen0403/agent-skills-standard · 63 tokens

common-exploit-verification

Enforce "No Exploit, No Report" policy with PoC construction standards, false-positive filtering, and evidence collection per vulnerability class across backend, frontend, and mobile. Use when validating security findings, constructing exploit proofs, filtering false positives, or writing pentest findings.

HoangNguyen0403/agent-skills-standard · 61 tokens

common-session-retrospective

Analyze conversation corrections to detect skill gaps and prepare targeted skill-library maintenance tasks. Use after any session with user corrections, rework, or retrospective requests. After finding correction loops, also load +common/common-learning-log to persist mistake entries to AGENTSLEARNING.md.

HoangNguyen0403/agent-skills-standard · 59 tokens

common-store-changelog

Generate user-facing release notes for the App Store and Google Play from git history (App Store <=4000 chars, Google Play <=500). Use when generating release notes, app store changelog, play store release, or "what's new" text for a mobile app.

HoangNguyen0403/agent-skills-standard · 60 tokens

typescript-language

Apply modern TypeScript standards for type safety and maintainability. Use when working with types, interfaces, generics, enums, unions, or tsconfig settings.

HoangNguyen0403/agent-skills-standard · 35 tokens

common-code-review

Conduct high-quality, persona-driven code reviews. Use when reviewing PRs, critiquing code quality, or analyzing changes for team feedback.

HoangNguyen0403/agent-skills-standard · 32 tokens