fastapi-expert

fastapi-expert is a skill for Claude Code from Jeffallan/claude-skills. It costs 95 tokens per session (1,624 once invoked), scanned A, original, MIT.

A guide for building asynchronous Python web APIs with FastAPI and Pydantic V2. It covers endpoints, data validation, authentication, databases, WebSockets, tests, and generated API documentation.

In plain words
What is it for?
Use it to create REST or WebSocket endpoints, define request models, add JWT authentication, connect to databases asynchronously, write tests, and check the OpenAPI page.
Why use it?
It provides a defined development and checking process for API changes, reducing errors in validation, security, HTTP responses, and documentation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the fullstack-dev-skills plugin — 67 skills shipped together

Good fit Use it to create REST or WebSocket endpoints, define request models, add JWT authentication, connect to databases asynchronously, write tests, and check the OpenAPI page.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeffallan/claude-skills/fastapi-expert
About the project

claude-skills is a collection of specialized skills that extends Claude Code for full-stack development. Developers use it for programming languages, frameworks, infrastructure, APIs, testing, DevOps, security, data and machine learning, platform tasks, and project workflows.

Jeffallan/claude-skills · 11,907 stars · on GitHub

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.

Any agent
npx skills add Jeffallan/claude-skills --skill fastapi-expert
Clone the repo
git clone --depth 1 https://github.com/Jeffallan/claude-skills

Made for: Claude Code.

Or install fullstack-dev-skills, the plugin that ships this one along with the rest of its 67 skills.

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 fastapi-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeffallan/claude-skills/fastapi-expert/github.svg)](https://agentmods.dev/skills/jeffallan/claude-skills/fastapi-expert)
Your own site
<a href="https://agentmods.dev/skills/jeffallan/claude-skills/fastapi-expert"><img src="https://agentmods.dev/badge/skills/jeffallan/claude-skills/fastapi-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.

agentmods 80×15 button for fastapi-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeffallan/claude-skills/fastapi-expert"><img src="https://agentmods.dev/badge/skills/jeffallan/claude-skills/fastapi-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,624 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 3 Oct 2026
  • Snyk pass 3 Oct 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00095 $0.01624
Opus 5.5 $0.00038 $0.00650
Sonnet 5.5 $0.00019 $0.00325
Haiku 4.5 $0.00010 $0.00162

Measured yesterday against content hash aec3e59f351c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fastapi-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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/fastapi-expert/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FastAPI Expert

Deep expertise in async Python, Pydantic V2, and production-grade API development with FastAPI.

When to Use This Skill

  • Building REST APIs with FastAPI
  • Implementing Pydantic V2 validation schemas
  • Setting up async database operations
  • Implementing JWT authentication/authorization
  • Creating WebSocket endpoints
  • Optimizing API performance

Core Workflow

  1. Analyze requirements — Identify endpoints, data models, auth needs
  2. Design schemas — Create Pydantic V2 models for validation
  3. Implement — Write async endpoints with proper dependency injection
  4. Secure — Add authentication, authorization, rate limiting
  5. Test — Write async tests with pytest and httpx; run pytest after each endpoint group and verify OpenAPI docs at /docs

Checkpoint after each step: confirm schemas validate correctly, endpoints return expected HTTP status codes, and /docs reflects the intended API surface before proceeding.

Minimal Complete Example

Schema + endpoint + dependency injection in one cohesive unit:

# schemas.py
from pydantic import BaseModel, EmailStr, field_validator, model_config

class UserCreate(BaseModel):
    model_config = model_config(str_strip_whitespace=True)

    email: EmailStr
    password: str
    name: str | None = None

    @field_validator("password")
    @classmethod
    def password_strength(cls, v: str) -> str:
        if len(v) < 8:
            raise ValueError("Password must be at least 8 characters")
        return v

class UserResponse(BaseModel):
    model_config = model_config(from_attributes=True)

    id: int
    email: EmailStr
    name: str | None = None
# routers/users.py
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.ext.asyncio import AsyncSession
from typing import Annotated

from app.database import get_db
from app.schemas import UserCreate, UserResponse
from app import crud

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

DbDep = Annotated[AsyncSession, Depends(get_db)]

@router.post("/", response_model=UserResponse, status_code=status.HTTP_201_CREATED)
async def create_user(payload: UserCreate, db: DbDep) -> UserResponse:
    existing = await crud.get_user_by_email(db, payload.email)
    if existing:
        raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="Email already registered")
    return await crud.create_user(db, payload)

Read the full file on GitHub · 191 lines

Files

What ships with it

6 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.

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. yesterday Changed aec3e59f351c
  2. 13d ago Changed · +3 lines 73514d9672e1
  3. 1mo ago First seen · 188 lines · 95 tokens per session scan A 73331cf09b52

Subscribe to this mod's changes

fastapi-expert is a skill published in the GitHub repository Jeffallan/claude-skills (11,907 stars, last pushed today), licensed MIT. It adds 95 tokens to every session and 1,624 once invoked, about $0.0004 per session on Opus 5.5. 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.