django-expert

django-expert is a skill for Claude Code from personamanagmentlayer/pcl. It costs 47 tokens per session (2,486 once invoked), scanned A, original, Apache-2.0.

A guide to building web applications with Django, a Python web framework that includes tools for databases, administration, user accounts, URLs, forms, and templates.

In plain words
What is it for?
Use it to define database models, create pages and forms, manage users through the admin interface, validate input, and run database migrations.
Why use it?
It helps developers organise the major parts of a web application and handle common features without designing each one from scratch.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to define database models, create pages and forms, manage users through the admin interface, validate input, and run database migrations.

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Install with agentmods
npx agentmods add skills/personamanagmentlayer/pcl/django-expert
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.

Any agent
npx skills add personamanagmentlayer/pcl --skill django-expert
Clone the repo
git clone --depth 1 https://github.com/personamanagmentlayer/pcl

Made for: Claude Code.

Wrote 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.

agentmods badge for django-expert

README.md
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Your own site
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/django-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/django-expert/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.

agentmods 80×15 button for django-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/django-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/django-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,486 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 5.1 $0.00047 $0.02486
Opus 5 $0.00023 $0.01243
Sonnet 5 $0.00009 $0.00497
Haiku 4.5 $0.00005 $0.00249

Measured 4d ago against content hash 308ce61c4a75, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

django-expert 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 4d 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.

stdlib/frameworks/django-expert/SKILL.md · 421 lines

How it starts

The opening of the file, as written. The whole thing — 421 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Django Expert

Expert guidance for Django - high-level Python web framework for building secure, scalable web applications with batteries included.

Core Concepts

Django Architecture

  • MVT (Model-View-Template) pattern
  • ORM (Object-Relational Mapping)
  • Admin interface
  • Authentication system
  • URL routing
  • Template engine
  • Forms and validation

Key Components

  • Models (database tables)
  • Views (business logic)
  • Templates (presentation)
  • URLs (routing)
  • Forms (user input)
  • Middleware (request/response processing)

Project Setup

# Install Django
pip install django

# Create project
django-admin startproject myproject
cd myproject

# Create app
python manage.py startapp myapp

# Run migrations
python manage.py migrate

# Create superuser
python manage.py createsuperuser

# Run server
python manage.py runserver

Models

# myapp/models.py
from django.db import models
from django.contrib.auth.models import User
from django.utils import timezone

class Post(models.Model):
    STATUS_CHOICES = [
        ('draft', 'Draft'),
        ('published', 'Published'),
    ]

    title = models.CharField(max_length=200)
    slug = models.SlugField(max_length=200, unique=True)
    author = models.ForeignKey(User, on_delete=models.CASCADE, related_name='posts')
    content = models.TextField()
    status = models.CharField(max_length=10, choices=STATUS_CHOICES, default='draft')
    created_at = models.DateTimeField(auto_now_add=True)
    updated_at = models.DateTimeField(auto_now=True)
    published_at = models.DateTimeField(null=True, blank=True)

    class Meta:
        ordering = ['-created_at']
        indexes = [
            models.Index(fields=['-created_at']),
            models.Index(fields=['slug']),
        ]

    def __str__(self):
        return self.title

    def save(self, *args, **kwargs):
        if self.status == 'published' and not self.published_at:
            self.published_at = timezone.now()
        super().save(*args, **kwargs)

class Comment(models.Model):
    post = models.ForeignKey(Post, on_delete=models.CASCADE, related_name='comments')
    author = models.ForeignKey(User, on_delete=models.CASCADE)
    content = models.TextField()
    created_at = models.DateTimeField(auto_now_add=True)

    class Meta:
        ordering = ['created_at']

    def __str__(self):
        return f'Comment by {self.author} on {self.post}'

Read the full file on GitHub · 421 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. 4d ago Changed · +5 lines · +27 tokens per session 308ce61c4a75
  2. 6d ago First seen · 416 lines · 20 tokens per session scan A 10aa4a7e821e

Subscribe to this mod's changes

django-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 2d ago), licensed Apache-2.0. It adds 47 tokens to every session and 2,486 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 2026-09-03.

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