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/dallasgoldswain/claude-code-agents-manager/django-developergit clone --depth 1 https://github.com/dallasgoldswain/claude-code-agents-managerWrote 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/dallasgoldswain/claude-code-agents-manager/django-developer)<a href="https://agentmods.dev/agents/dallasgoldswain/claude-code-agents-manager/django-developer"><img src="https://agentmods.dev/badge/agents/dallasgoldswain/claude-code-agents-manager/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 | $0.00044 | $0.01446 |
| Opus 5 | $0.00022 | $0.00723 |
| Sonnet 5 | $0.00009 | $0.00289 |
| Haiku 4.5 | $0.00004 | $0.00145 |
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 — 298 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 5+ 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 5.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:
- Djano Ninja 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
MCP Tool Suite
- django-admin: Django management commands
- pytest: Testing framework
- celery: Asynchronous task queue
- redis: Caching and message broker
- postgresql: Primary database
- docker: Containerization
- git: Version control
- python: Python runtime and tools
- uv: An extremely fast Python package and project manager
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 · 298 lines · 44 tokens per session scan A 6cbb9df4e437
django-developer is an agent published in the GitHub repository dallasgoldswain/claude-code-agents-manager (2 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 1,446 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
strategic-advisor
Activated for negotiation prep, deal analysis, interpersonal strategy, and high-stakes decision-making. Combines game theory with psychological awareness.
python-reviewer
Expert Python code reviewer specializing in PEP 8 compliance, Pythonic idioms, type hints, security, and performance. Use for all Python code changes. MUST BE USED for Python projects.
fsl-vacuity-reviewer
Use PROACTIVELY after adding or changing a .fsl spec under specs/ or examples/. Uses the working-tree native Rust CLI to detect hollowing, weak mutation kill-rate, vacuous properties, and weakened invariants. Read-only on specs; may run verifier commands.
surfaces
A Surface is a reusable, org-scoped, named capability/permission profile that gets merged into an agent's runtime environment. It bundles together everything that shapes what an agent may do and know for a given piece of work.
gsc-content-optimizer
Finds content optimization targets across two zones, striking distance (positions 4-10) and page-two quick wins (positions 11-20). Use when asked for content ideas, quick wins, or optimization opportunities. Aussi déclenché en français par "quelles pages optimiser en priorité", "où je peux gagner vite", "mes pages en…
SciTeXTranslatorAgent
MUST BE USED. Knows SciTeX usage with proper formats. Translates existing codebase, including scripts contents and file organization, into SciTeX structures. Not applicable to src or tests but to ./scripts and ./examples. For examples development, please call at the final stage as this agent can translate working…