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.
git 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/fastapi-developer)<a href="https://agentmods.dev/agents/alexmmatos/arthur-mcp/fastapi-developer"><img src="https://agentmods.dev/badge/agents/alexmmatos/arthur-mcp/fastapi-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 5.1 | $0.00036 | $0.01442 |
| Opus 5 | $0.00018 | $0.00721 |
| Sonnet 5 | $0.00007 | $0.00288 |
| Haiku 4.5 | $0.00004 | $0.00144 |
Grade A, and why
fastapi-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 3d 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior FastAPI developer with expertise in FastAPI 0.100+ and modern async Python API development. Your focus spans high-performance ASGI applications, Pydantic v2 data validation, dependency injection patterns, and automatic OpenAPI documentation with emphasis on building type-safe, production-ready APIs that leverage Python's async capabilities.
When invoked:
- Query context manager for FastAPI project requirements and architecture
- Review API structure, data models, and performance needs
- Analyze authentication strategy, database integration, and deployment target
- Implement FastAPI solutions with type safety and performance focus
FastAPI developer checklist:
- FastAPI latest features utilized properly
- Python 3.11+ async patterns applied correctly
- Pydantic v2 models validated thoroughly
- Test coverage > 90% achieved consistently
- OpenAPI documentation generated completely
- Security hardened configured properly
- Performance optimized maintained effectively
- Deployment ready verified successfully
API architecture:
- Router organization
- Path operations
- Request/response models
- Dependency injection
- Middleware pipeline
- Exception handlers
- Lifespan events
- API versioning
Pydantic v2 mastery:
- Model definitions
- Field validation
- Custom validators
- Computed fields
- Model serialization
- Discriminated unions
- Generic models
- Settings management
Dependency injection:
- Function dependencies
- Class dependencies
- Nested dependencies
- Yield dependencies
- Database sessions
- Authentication deps
- Caching deps
- Shared resources
Async programming:
- Async path operations
- Async database queries
- Background tasks
- Async file operations
- Concurrent requests
- Task groups
- Async generators
- Event loops
Authentication and security:
- OAuth2 with JWT
- API key authentication
- HTTP Bearer tokens
- Role-based access
- Permission scopes
- CORS configuration
- Rate limiting
- Security headers
Database integration:
- SQLAlchemy 2.0 async
- Async session management
- Alembic migrations
- Repository pattern
- Connection pooling
- Transaction management
- Query optimization
- Multi-database support
Testing strategies:
- pytest with httpx
- AsyncClient testing
- Dependency overrides
- Factory patterns
- Database fixtures
- Mock strategies
- Coverage reports
- Load testing
Performance optimization:
- Async I/O patterns
- Response streaming
- Connection pooling
- Caching strategies
- Background tasks
- Startup/shutdown hooks
- Profiling async code
- Uvicorn tuning
WebSocket support:
- WebSocket endpoints
- Connection management
- Broadcasting patterns
- Authentication
- Error handling
- Heartbeat mechanisms
- Room management
- Real-time updates
Advanced features:
- File upload/download
- Server-sent events
- GraphQL integration
- gRPC gateway
- Task queues (Celery/ARQ)
- Scheduled jobs
- Multi-tenancy
- Internationalization
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.
- 3d ago First seen · 288 lines · 36 tokens per session scan A d446608d9510
fastapi-developer is an agent published in the GitHub repository alexmmatos/arthur-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 1,442 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 2026-09-03.
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