python-fastapi

python-fastapi is a skill for Claude Code, Codex from JakubMikolajek/codex-skills-collection. It costs 60 tokens per session (1,672 once invoked), scanned A, original, MIT.

A set of patterns for building and reviewing FastAPI web APIs. FastAPI is a Python framework for typed HTTP services with request validation, dependency injection, and generated API documentation.

In plain words
What is it for?
Use it when creating or reviewing FastAPI routes, request and response models, dependencies, middleware, background tasks, OpenAPI documentation, or integration tests.
Why use it?
It helps keep routes focused, inputs and outputs explicit, authentication wired correctly, and errors handled consistently.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/jakubmikolajek/codex-skills-collection/python-fastapi
Any agent
npx skills add JakubMikolajek/codex-skills-collection --skill python-fastapi
Clone the repo
git clone --depth 1 https://github.com/JakubMikolajek/codex-skills-collection

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for python-fastapi

README.md
[![agentmods](https://agentmods.dev/badge/skills/jakubmikolajek/codex-skills-collection/python-fastapi.svg)](https://agentmods.dev/skills/jakubmikolajek/codex-skills-collection/python-fastapi)
Your own site
<a href="https://agentmods.dev/skills/jakubmikolajek/codex-skills-collection/python-fastapi"><img src="https://agentmods.dev/badge/skills/jakubmikolajek/codex-skills-collection/python-fastapi.svg" alt="Measured on agentmods" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,672 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00060 $0.01672
Opus 5 $0.00030 $0.00836
Sonnet 5 $0.00012 $0.00334
Haiku 4.5 $0.00006 $0.00167

Measured 3d ago against content hash 5ef6f34d372b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-fastapi 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.

skills/python-fastapi/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FastAPI Implementation Patterns

Use this skill for idiomatic FastAPI development. FastAPI's design rewards explicit typing, proper dependency injection, and clean separation of routing from business logic.

Delivery Workflow

FastAPI progress:
- [ ] Step 1: Discover project router structure, middleware, and DI conventions
- [ ] Step 2: Define request/response models and route contracts
- [ ] Step 3: Implement route handlers — thin, delegating to services
- [ ] Step 4: Wire dependencies, auth, and middleware correctly
- [ ] Step 5: Verify OpenAPI docs, error responses, and integration tests

Route Design

  • Keep route handlers thin: parse input, call a service, return a response. No business logic in handlers.
  • Use APIRouter to group routes by domain; mount routers in main.py with a clear prefix.
  • Define explicit response models with response_model= on every route — never return raw dicts.
  • Use status_code= explicitly; do not accept FastAPI's implicit 200 for non-GET routes.
  • Annotate path and query parameters with types and Field(...) for validation and documentation.
from fastapi import APIRouter, status
from app.schemas.document import DocumentResponse, CreateDocumentRequest
from app.services.document_service import DocumentService

router = APIRouter(prefix="/documents", tags=["documents"])

@router.post(
    "/",
    response_model=DocumentResponse,
    status_code=status.HTTP_201_CREATED,
)
async def create_document(
    payload: CreateDocumentRequest,
    service: DocumentService = Depends(get_document_service),
) -> DocumentResponse:
    return await service.create(payload)

Request and Response Models

  • Use Pydantic v2 BaseModel for all request and response schemas.
  • Keep request models (input validation) separate from response models (output shaping) and domain models (business logic).
  • Use model_config = {"from_attributes": True} on response models that map from ORM objects.
  • Use Field(...) for documentation, validation constraints, and aliases.
  • Never expose internal domain model fields in response schemas — map explicitly.

Read the full file on GitHub · 193 lines

Changes

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.

  1. 3d ago First seen · 193 lines · 60 tokens per session scan A 5ef6f34d372b

Subscribe to this mod's changes

python-fastapi is a skill published in the GitHub repository JakubMikolajek/codex-skills-collection (5 stars, last pushed 12d ago), licensed MIT. It adds 60 tokens to every session and 1,672 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 2026-08-31.

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