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.
npx agentmods add skills/luohaothu/everything-codex/django-securitynpx skills add Luohaothu/everything-codex --skill django-securitygit clone --depth 1 https://github.com/Luohaothu/everything-codexWhat 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 | $0.00033 | $0.03730 |
| Opus 5 | $0.00016 | $0.01865 |
| Sonnet 5 | $0.00007 | $0.00746 |
| Haiku 4.5 | $0.00003 | $0.00373 |
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.
How it starts
The opening of the file, as written. The whole thing — 593 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Django 安全最佳实践
保护 Django 应用程序免受常见漏洞侵害的全面安全指南。
何时启用
- 设置 Django 认证和授权时
- 实现用户权限和角色时
- 配置生产环境安全设置时
- 审查 Django 应用程序的安全问题时
- 将 Django 应用程序部署到生产环境时
核心安全设置
生产环境设置配置
# 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',
},
]
认证
自定义用户模型
# 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'
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.
- 2d ago First seen · 593 lines · 33 tokens per session scan A e6cf91eadfb8
django-security is a skill published in the GitHub repository Luohaothu/everything-codex (24 stars, last pushed 21d ago), licensed MIT. It adds 33 tokens to every session and 3,730 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 2026-08-30.
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