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 skills add personamanagmentlayer/pcl --skill django-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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/skills/personamanagmentlayer/pcl/django-expert)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.02486 |
| Opus 5 | $0.00023 | $0.01243 |
| Sonnet 5 | $0.00009 | $0.00497 |
| Haiku 4.5 | $0.00005 | $0.00249 |
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.
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}'
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.
- 4d ago Changed · +5 lines · +27 tokens per session 308ce61c4a75
- 6d ago First seen · 416 lines · 20 tokens per session scan A 10aa4a7e821e
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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