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 G1Joshi/Agent-Skills --skill djangogit clone --depth 1 https://github.com/G1Joshi/Agent-SkillsWrote 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/g1joshi/agent-skills/django)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/django"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/django.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00022 | $0.00441 |
| Opus 5 | $0.00011 | $0.00220 |
| Sonnet 5 | $0.00004 | $0.00088 |
| Haiku 4.5 | $0.00002 | $0.00044 |
Grade A, and why
django 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.
What it actually says
Django
Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. Django 5.0 (2025) introduces database-computed default values and expanded async support.
When to Use
- Perfectionists with deadlines: The "batteries-included" philosophy means Auth, Admin, and ORM are ready day one.
- Data-Driven Apps: The Django Admin is still the best auto-generated admin interface in the industry.
- Enterprise: Security features (CSRF, SQL Injection protection) are best-in-class.
Quick Start
# models.py
from django.db import models
class Post(models.Model):
title = models.CharField(max_length=200)
# New in 5.0: Database generated field
slug = models.GeneratedField(
expression=models.functions.Concat(models.F("title"), models.Value("-slug")),
output_field=models.CharField(max_length=205),
db_persist=True,
)
Core Concepts
MTV Architecture
Model (Data), Template (Presentation), View (Business Logic).
The ORM
Powerful abstraction over SQL. Post.objects.filter(pub_date__year=2025).
Async Django
Django 5 supports async views, ORM calls (aget_object_or_404), and Auth methods (alogin).
Best Practices (2025)
Do:
- Use
GeneratedField: Let the database handle computed columns instead of Python properties for better performance. - Use Async Views: For I/O bound tasks (calling external APIs), use
async def view(request):. - Use
django-ninja: For building APIs, it's faster and cleaner than DRF (Django Rest Framework) and uses Pydantic.
Don't:
- Don't put logic in templates: Keep templates dumb. Put logic in Models or Services.
References
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 First seen · 61 lines · 22 tokens per session scan A c716824dedbc
django is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 6mo ago), licensed MIT. It adds 22 tokens to every session and 441 once invoked, about $0.0001 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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