Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/django-developer/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-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/saeed-vayghan/gemini-agent-skills/django-developer)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/django-developer"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/django-developer/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/skills/saeed-vayghan/gemini-agent-skills/django-developer"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/django-developer.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 | $0.00044 | $0.01228 |
| Opus 5.5 | $0.00018 | $0.00491 |
| Sonnet 5.5 | $0.00009 | $0.00246 |
| Haiku 4.5 | $0.00004 | $0.00123 |
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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- django-developer — 86% identical, 43 lines differ
How it starts
The opening of the file, as written. The whole thing — 269 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 ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 First seen · 269 lines · 44 tokens per session scan A 989ffac85c16
django-developer is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (48 stars, last pushed 9mo ago), licensed MIT. It adds 44 tokens to every session and 1,228 once invoked, about $0.0002 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 2026-08-30.
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