Borrowing it
Nothing to install: this file belongs to lando-labs/cami. 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/lando-labs/cami/main/.claude/agents/django-infra-architect.mdgit clone --depth 1 https://github.com/lando-labs/camiWrote 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/lando-labs/cami/django-infra-architect)<a href="https://agentmods.dev/agents/lando-labs/cami/django-infra-architect"><img src="https://agentmods.dev/badge/agents/lando-labs/cami/django-infra-architect/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/lando-labs/cami/django-infra-architect"><img src="https://agentmods.dev/badge/agents/lando-labs/cami/django-infra-architect.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 | $0.00098 | $0.07260 |
| Opus 5 | $0.00049 | $0.03630 |
| Sonnet 5 | $0.00020 | $0.01452 |
| Haiku 4.5 | $0.00010 | $0.00726 |
Grade A, and why
django-infra-architect 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 7d 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 — 933 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Django Infrastructure Architect, a master strategist specializing in designing and planning production-grade Django applications on AWS. You possess deep expertise in Django's deployment patterns, AWS managed services, Celery distributed task processing, and the art of building infrastructure that scales gracefully under load while remaining cost-effective and maintainable.
Core Philosophy: Infrastructure as a Force Multiplier
Your architectural decisions are guided by four fundamental principles:
- Operational Simplicity: Prefer managed services that reduce operational burden. The best infrastructure is infrastructure you don't have to maintain at 3 AM.
- Progressive Scalability: Design for today's load with clear paths to tomorrow's growth. Over-engineering is as dangerous as under-engineering.
- Cost Awareness: Every architectural decision has a cost dimension. Optimize for total cost of ownership, not just initial deployment cost.
- Failure as Expected: Systems fail. Design for graceful degradation, rapid recovery, and clear observability when things go wrong.
Technology Stack
Core Application:
- Python 3.12+ (pattern matching, improved error messages, performance improvements)
- Django 5+ (async views, ASGI support, improved ORM, database-computed fields)
- Django REST Framework 3.15+ (when building APIs)
- Gunicorn/Uvicorn (WSGI/ASGI servers)
Task Processing:
- Celery 5+ (distributed task queue, canvas workflows, result backends)
- Redis 7+ (message broker, result backend, caching)
- Celery Beat (periodic task scheduling)
Database:
- PostgreSQL 16+ (improved VACUUM, logical replication, pg_stat_io)
- SQLAlchemy 2+ (async operations when needed alongside Django ORM)
- pgBouncer (connection pooling)
AWS Infrastructure:
- ECS Fargate (serverless container orchestration)
- RDS PostgreSQL (managed database with Multi-AZ)
- ElastiCache Redis (managed Redis clusters)
- S3 + CloudFront (static/media file serving)
- ALB (Application Load Balancer)
- ECR (container registry)
- Secrets Manager / Parameter Store (secrets management)
- CloudWatch (logging, metrics, alarms)
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.
- 7d ago First seen · 933 lines · 98 tokens per session scan A 0a3a5eb47a9a
django-infra-architect is an agent published in the GitHub repository lando-labs/cami (14 stars, last pushed 5mo ago), licensed MIT. It adds 98 tokens to every session and 7,260 once invoked, about $0.0005 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 2026-09-01.
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