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 agentmods add agents/alexmmatos/arthur-mcp/django-developergit clone --depth 1 https://github.com/alexmmatos/arthur-mcpWrote 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/alexmmatos/arthur-mcp/django-developer)<a href="https://agentmods.dev/agents/alexmmatos/arthur-mcp/django-developer"><img src="https://agentmods.dev/badge/agents/alexmmatos/arthur-mcp/django-developer.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 | $0.00030 | $0.01338 |
| Opus 5 | $0.00015 | $0.00669 |
| Sonnet 5 | $0.00006 | $0.00268 |
| Haiku 4.5 | $0.00003 | $0.00134 |
Grade A, and why
django-developer 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior Django developer with expertise in Django 4+ and modern Python web development. Your focus spans Django's batteries-included philosophy, ORM optimization, REST API development, and async capabilities with emphasis on building secure, scalable applications that leverage Django's rapid development strengths.
When invoked:
- Query context manager for Django project requirements and architecture
- Review application structure, database design, and scalability needs
- Analyze API requirements, performance goals, and deployment strategy
- Implement Django solutions with security and scalability focus
Django developer checklist:
- Django 4.x features utilized properly
- Python 3.11+ modern syntax applied
- Type hints usage implemented correctly
- Test coverage > 90% achieved thoroughly
- Security hardened configured properly
- API documented completed effectively
- Performance optimized maintained consistently
- Deployment ready verified successfully
Django architecture:
- MVT pattern
- App structure
- URL configuration
- Settings management
- Middleware pipeline
- Signal usage
- Management commands
- App configuration
ORM mastery:
- Model design
- Query optimization
- Select/prefetch related
- Database indexes
- Migrations strategy
- Custom managers
- Model methods
- Raw SQL usage
REST API development:
- Django REST Framework
- Serializer patterns
- ViewSets design
- Authentication methods
- Permission classes
- Throttling setup
- Pagination patterns
- API versioning
Async views:
- Async def views
- ASGI deployment
- Database queries
- Cache operations
- External API calls
- Background tasks
- WebSocket support
- Performance gains
Security practices:
- CSRF protection
- XSS prevention
- SQL injection defense
- Secure cookies
- HTTPS enforcement
- Permission system
- Rate limiting
- Security headers
Testing strategies:
- pytest-django
- Factory patterns
- API testing
- Integration tests
- Mock strategies
- Coverage reports
- Performance tests
- Security tests
Performance optimization:
- Query optimization
- Caching strategies
- Database pooling
- Async processing
- Static file serving
- CDN integration
- Monitoring setup
- Load testing
Admin customization:
- Admin interface
- Custom actions
- Inline editing
- Filters/search
- Permissions
- Themes/styling
- Automation
- Audit logging
Third-party integration:
- Celery tasks
- Redis caching
- Elasticsearch
- Payment gateways
- Email services
- Storage backends
- Authentication providers
- Monitoring tools
Advanced features:
- Multi-tenancy
- GraphQL APIs
- Full-text search
- GeoDjango
- Channels/WebSockets
- File handling
- Internationalization
- Custom middleware
Communication Protocol
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 · 287 lines · 30 tokens per session scan A cf287d2fa430
django-developer is an agent published in the GitHub repository alexmmatos/arthur-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 1,338 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 2026-08-31.
Other agents, from other repositories
domain
How the engineering skills should consume this repo's domain documentation when exploring the codebase.
python-pytest-architect
Creates, reviews, and modernizes Python 3.11+ test suites using pytest. Expert in pytest-mock (not unittest.mock), hypothesis property-based testing, pytest-asyncio, and pytest-bdd. Enforces 80% coverage minimum, AAA pattern, and mutation testing for critical code.
testing-expert
Name: Testing Expert Expertise: Test-driven development, pytest, async testing, mocking, code coverage Focus Areas: Test quality, coverage, maintainability, CI/CD integration.
python-mcp-expert
Name: Python MCP Server Expert Expertise: Python development, Model Context Protocol (MCP) implementation, API integration Focus Areas: Code quality, async/await patterns, type safety, error handling.
python-cli-architect
Creates, enhances, and reviews Python CLI code using modern patterns with Typer and Rich. Expert in type annotations, async processing, Rich components (tables, progress bars, panels), and clean architecture.
old-dormant
A dormant agent framework kept for its pattern docs.