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 skills/pyramidheadshark/claude-scaffold/fastapi-patternsnpx skills add pyramidheadshark/claude-scaffold --skill fastapi-patternsgit clone --depth 1 https://github.com/pyramidheadshark/claude-scaffoldWrote 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/pyramidheadshark/claude-scaffold/fastapi-patterns)<a href="https://agentmods.dev/skills/pyramidheadshark/claude-scaffold/fastapi-patterns"><img src="https://agentmods.dev/badge/skills/pyramidheadshark/claude-scaffold/fastapi-patterns.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 | $0.00000 | $0.01458 |
| Opus 5 | $0.00000 | $0.00729 |
| Sonnet 5 | $0.00000 | $0.00292 |
| Haiku 4.5 | $0.00000 | $0.00146 |
Grade A, and why
fastapi-patterns 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 5d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastAPI Patterns
When to Load This Skill
Load when working with: FastAPI routers, Pydantic models, dependency injection, middleware, ASGI lifecycle, HTTP endpoints, background tasks.
Architectural Contract
All FastAPI projects follow Hexagonal Architecture:
api/ → adapters IN (HTTP boundary)
core/ → domain (pure Python, zero framework imports)
services/ → application (orchestrates core + adapters)
adapters/ → adapters OUT (DB, LLM, S3, external APIs)
models/ → schemas (Pydantic — request, response, internal)
The core/ layer MUST NOT import from fastapi, sqlalchemy, or any adapter library.
The api/ layer MUST NOT contain business logic — only validation and routing.
Application Entry Point
from contextlib import asynccontextmanager
from fastapi import FastAPI
from src.project_name.api.routers import health, items
from src.project_name.core.config import settings
@asynccontextmanager
async def lifespan(app: FastAPI):
yield
def create_app() -> FastAPI:
app = FastAPI(
title=settings.app_name,
version=settings.app_version,
lifespan=lifespan,
)
app.include_router(health.router, prefix="/health", tags=["health"])
app.include_router(items.router, prefix="/api/v1/items", tags=["items"])
return app
app = create_app()
Router Pattern
from fastapi import APIRouter, Depends, HTTPException, status
from src.project_name.models.item import ItemCreate, ItemResponse
from src.project_name.services.item_service import ItemService
router = APIRouter()
def get_item_service() -> ItemService:
return ItemService()
@router.post("/", response_model=ItemResponse, status_code=status.HTTP_201_CREATED)
async def create_item(
payload: ItemCreate,
service: ItemService = Depends(get_item_service),
) -> ItemResponse:
return await service.create(payload)
Service Layer Pattern
from src.project_name.adapters.item_repository import ItemRepository
from src.project_name.core.domain import Item
from src.project_name.models.item import ItemCreate, ItemResponse
class ItemService:
def __init__(self, repository: ItemRepository | None = None) -> None:
self._repo = repository or ItemRepository()
async def create(self, payload: ItemCreate) -> ItemResponse:
domain_item = Item.from_create(payload)
saved = await self._repo.save(domain_item)
return ItemResponse.model_validate(saved)
What ships with it
4 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.
- 5d ago First seen · 247 lines · 0 tokens per session scan A b3b953bdbcad
fastapi-patterns is a skill published in the GitHub repository pyramidheadshark/claude-scaffold (4 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,458 tokens. 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.
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