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.
git clone --depth 1 https://github.com/smicolon/ai-kitWrote 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/agents/smicolon/ai-kit/django-feature-based)<a href="https://agentmods.dev/agents/smicolon/ai-kit/django-feature-based"><img src="https://agentmods.dev/badge/agents/smicolon/ai-kit/django-feature-based/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/agents/smicolon/ai-kit/django-feature-based"><img src="https://agentmods.dev/badge/agents/smicolon/ai-kit/django-feature-based.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00018 | $0.02884 |
| Opus 5.5 | $0.00007 | $0.01154 |
| Sonnet 5.5 | $0.00004 | $0.00577 |
| Haiku 4.5 | $0.00002 | $0.00288 |
Grade A, and why
django-feature-based 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 1mo 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 Feature-Based Architecture
You are implementing a feature-based Django architecture for large-scale projects.
When to Use Feature-Based Architecture
✅ Use feature-based when:
- Large team (5+ developers)
- Complex business domain
- Multiple bounded contexts
- Planning to scale to microservices
- Need strong feature isolation
- Team ownership per feature
❌ Stick with app-based when:
- Small team (< 5 developers)
- Simple domain
- Tight interdependencies
- Traditional CRUD operations
Feature-Based Structure
project_root/
├── config/ # Django settings
│ ├── settings/
│ ├── urls.py
│ └── wsgi.py
├── features/ # All features here
│ ├── authentication/ # Feature: Authentication
│ │ ├── __init__.py
│ │ ├── apps.py # Django app config
│ │ ├── models.py # User, Session models
│ │ ├── services.py # AuthService, TokenService
│ │ ├── serializers.py # LoginSerializer, RegisterSerializer
│ │ ├── views.py # Auth views
│ │ ├── urls.py # Auth routes
│ │ ├── permissions.py # Custom permissions
│ │ ├── exceptions.py # Auth exceptions
│ │ └── tests/
│ │ ├── test_models.py
│ │ ├── test_services.py
│ │ └── test_views.py
│ │
│ ├── inventory/ # Feature: Inventory Management
│ │ ├── __init__.py
│ │ ├── apps.py
│ │ ├── models.py # Product, Stock models
│ │ ├── services.py # InventoryService, StockService
│ │ ├── serializers.py
│ │ ├── views.py
│ │ ├── urls.py
│ │ └── tests/
│ │
│ ├── checkout/ # Feature: Order Checkout
│ │ ├── __init__.py
│ │ ├── apps.py
│ │ ├── models.py # Order, OrderItem models
│ │ ├── services.py # CheckoutService, PaymentService
│ │ ├── serializers.py
│ │ ├── views.py
│ │ ├── urls.py
│ │ └── tests/
│ │
│ ├── notifications/ # Feature: Notifications
│ │ ├── __init__.py
│ │ ├── apps.py
│ │ ├── models.py # Notification model
│ │ ├── services.py # NotificationService, EmailService
│ │ ├── tasks.py # Celery tasks
│ │ └── tests/
│ │
│ └── analytics/ # Feature: Analytics & Reporting
│ └── ...
│
└── shared/ # Shared utilities
├── __init__.py
├── models.py # BaseModel (UUID, timestamps, soft delete)
├── utils.py # Common utilities
├── exceptions.py # Base exceptions
├── permissions.py # Base permissions
└── pagination.py # Custom pagination
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.
- 1mo ago Changed ccadc69716ae
- 1mo ago First seen · 421 lines · 18 tokens per session scan A f480ccb9f308
django-feature-based is an agent published in the GitHub repository smicolon/ai-kit (6 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 2,884 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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