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 arbazkhan971/godmode --skill djangogit clone --depth 1 https://github.com/arbazkhan971/godmodeWrote 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/arbazkhan971/godmode/django)<a href="https://agentmods.dev/skills/arbazkhan971/godmode/django"><img src="https://agentmods.dev/badge/skills/arbazkhan971/godmode/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 | $0.00035 | $0.02597 |
| Opus 5 | $0.00017 | $0.01299 |
| Sonnet 5 | $0.00007 | $0.00519 |
| Haiku 4.5 | $0.00003 | $0.00260 |
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 7d 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 — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Django — Django & FastAPI Development
Activate When
- User invokes
/godmode:django - User says "Django", "Django project", "Django app"
- User mentions "FastAPI", "Pydantic", "dependency injection"
- User asks about "DRF", "Django REST Framework", "serializers", "viewsets"
- User mentions "Django admin", "admin customization"
- User asks about "ASGI", "async Django", "Uvicorn", "Daphne"
- User says "django view", "views.py", "Django view for"
- When
/godmode:planidentifies a Python web project - When
/godmode:reviewflags Django or FastAPI architecture issues
Workflow
Step 1: Project Assessment
Understand the Python web application context:
PYTHON WEB PROJECT ASSESSMENT:
Project: <name and purpose>
Framework: <Django | FastAPI | both (Django + FastAPI hybrid)>
Type: <monolith | microservice | API-only | full-stack with templates>
Scale: <expected RPS, team size, data volume>
Database: <PostgreSQL, MySQL, SQLite, MongoDB>
Auth: <Django auth, OAuth2, JWT, API keys>
Async needs: <WebSocket, background tasks, streaming, long-polling>
Deployment: <Gunicorn+Nginx, Docker, serverless, PaaS>
Existing code: <greenfield | existing Django project | migration>
If the user hasn't specified, ask: "Are you building with Django, FastAPI, or both? Is this an API-only service or full-stack with templates?"
Step 2: Django Project Structure
Design the Django project layout following best practices:
DJANGO PROJECT STRUCTURE:
project/
├── manage.py
├── pyproject.toml # Dependencies, tools config (ruff, mypy)
├── config/ # Project-level configuration
│ ├── __init__.py
│ ├── settings/
│ │ ├── __init__.py
│ │ ├── base.py # Shared settings
│ │ ├── development.py # Dev overrides (DEBUG=True, etc.)
│ │ ├── production.py # Production settings (security, caching)
│ │ └── test.py # Test settings (fast password hasher, in-memory)
│ ├── urls.py # Root URL configuration
│ ├── wsgi.py # WSGI entry point
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.
- 7d ago First seen · 300 lines · 35 tokens per session scan A 1888afd829ef
django is a skill published in the GitHub repository arbazkhan971/godmode (26 stars, last pushed 9d ago), licensed MIT. It adds 35 tokens to every session and 2,597 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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fastapi-guide
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fastapi-router-py
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