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 wilfredinni/django-starter-template --skill django-expertgit clone --depth 1 https://github.com/wilfredinni/django-starter-templateWrote 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/wilfredinni/django-starter-template/django-expert)<a href="https://agentmods.dev/skills/wilfredinni/django-starter-template/django-expert"><img src="https://agentmods.dev/badge/skills/wilfredinni/django-starter-template/django-expert/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/wilfredinni/django-starter-template/django-expert"><img src="https://agentmods.dev/badge/skills/wilfredinni/django-starter-template/django-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.01898 |
| Opus 5 | $0.00028 | $0.00949 |
| Sonnet 5 | $0.00011 | $0.00380 |
| Haiku 4.5 | $0.00006 | $0.00190 |
Grade A, and why
django-expert 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 10d 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 — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Django Expert
Overview
This skill provides expert guidance for Django backend development with comprehensive coverage of models, views, Django REST Framework, forms, authentication, testing, and performance optimization. It follows official Django best practices and modern Python conventions to help you build robust, maintainable applications.
Key Capabilities:
- Model design with optimal ORM patterns
- View implementation (FBV, CBV, DRF viewsets)
- Django REST Framework API development
- Query optimization and performance tuning
- Authentication and permissions
- Testing strategies and patterns
- Security best practices
When to Use
Invoke this skill when you encounter these triggers:
Model & Database Work:
- "Create a Django model for..."
- "Optimize this queryset/database query"
- "Generate migrations for..."
- "Design database schema for..."
- "Fix N+1 query problem"
View & API Development:
- "Create an API endpoint for..."
- "Build a Django view that..."
- "Implement DRF serializer/viewset"
- "Add filtering/pagination to API"
Authentication & Security:
- "Implement authentication/permissions"
- "Create custom user model"
- "Secure this endpoint/view"
Testing & Quality:
- "Write tests for this Django app"
- "Debug this Django error/issue"
- "Review Django code for issues"
Performance & Optimization:
- "This Django view is slow"
- "Optimize database queries"
- "Add caching to..."
Production Deployment:
- "Deploy Django to production"
- "Configure Django for production"
- "Set up HTTPS/SSL for Django"
- "Production settings checklist"
- "Configure production database/cache"
Instructions
Follow this workflow when handling Django development requests:
1. Analyze the Request and Gather Context
Identify the task type:
- Model design (database schema, relationships, migrations)
- View/API development (FBV, CBV, DRF viewsets, serializers)
- Query optimization (N+1 problems, database performance)
- Authentication/permissions (user models, access control)
- Testing (unit tests, integration tests, fixtures)
- Security review (CSRF, XSS, SQL injection, permissions)
- Production deployment (settings, HTTPS, database, caching, monitoring)
- Template rendering (Django templates, context processors)
What ships with it
9 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.
- references/drf-guidelines.md 18 KB
- references/examples.md 11 KB
- references/models-and-orm.md 11 KB
- references/performance-optimization.md 13 KB
- references/production-deployment.md 19 KB
- references/README.md 5.4 KB
- references/security-checklist.md 11 KB
- references/testing-strategies.md 41 KB
- references/views-and-urls.md 16 KB
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.
- 10d ago First seen · 248 lines · 55 tokens per session scan A a4919acb2615
django-expert is a skill published in the GitHub repository wilfredinni/django-starter-template (53 stars, last pushed 15d ago), licensed MIT. It adds 55 tokens to every session and 1,898 once invoked, about $0.0003 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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