fastapi-pro

fastapi-pro is a skill for Claude Code, Codex from hoangatg/ai-agent-toolkit. It costs 35 tokens per session (797 once invoked), scanned A, original, MIT.

FastAPI development guidance for building web APIs in Python. FastAPI is a Python framework for receiving requests, validating data, and returning responses; the guidance covers asynchronous code, dependencies, middleware, and production setup.

In plain words
What is it for?
Use it when designing or reviewing FastAPI routes, request and response models, configuration, authentication, database integration, and tests.
Why use it?
It helps prevent inconsistent API structure and data-validation mistakes while keeping Python services easier to maintain.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when designing or reviewing FastAPI routes, request and response models, configuration, authentication, database integration, and tests.

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Install with agentmods
npx agentmods add skills/hoangatg/ai-agent-toolkit/fastapi-pro
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 hoangatg/ai-agent-toolkit --skill fastapi-pro
Clone the repo
git clone --depth 1 https://github.com/hoangatg/ai-agent-toolkit

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 fastapi-pro

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/fastapi-pro.svg)](https://agentmods.dev/skills/hoangatg/ai-agent-toolkit/fastapi-pro)
Your own site
<a href="https://agentmods.dev/skills/hoangatg/ai-agent-toolkit/fastapi-pro"><img src="https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/fastapi-pro.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 797 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.
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 $0.00035 $0.00797
Opus 5 $0.00017 $0.00398
Sonnet 5 $0.00007 $0.00159
Haiku 4.5 $0.00003 $0.00080

Measured 3d ago against content hash d48ea35a576c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

fastapi-pro 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.

.agent/skills/fastapi-pro/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FastAPI Pro

Modern Python APIs — fast to write, fast to run.


1. Architecture Decisions

When to Use FastAPI

Factor FastAPI Django Flask
Performance ✅ Async, fast ❌ Sync by default ❌ Sync
Type safety ✅ Pydantic built-in ⚠️ Add-on ❌ Manual
Auto docs ✅ Swagger + ReDoc ❌ Add-on ❌ Add-on
Learning curve Low-Medium Medium-High Low
Ecosystem Growing Mature Mature

2. Project Structure

app/
├── main.py          # FastAPI app, startup
├── api/
│   ├── routes/      # Route handlers
│   └── deps.py      # Dependencies
├── core/
│   ├── config.py    # Settings (pydantic-settings)
│   └── security.py  # Auth logic
├── models/          # SQLAlchemy/DB models
├── schemas/         # Pydantic schemas
├── services/        # Business logic
└── tests/

3. Pydantic v2 Patterns

Feature Usage
BaseModel Request/response schemas
Field validators Custom validation logic
model_validator Cross-field validation
Settings Environment config with .env
Computed fields Derived values
Strict mode No type coercion

4. Dependency Injection

DI Patterns

Pattern Use Case
Function deps DB session, current user
Class deps Configurable, stateful
Yield deps Resource cleanup (DB, files)
Nested deps Composition (auth → user → permissions)

Principles

Principle Application
Single responsibility One dep, one concern
Testable Override deps in tests
Cacheable use_cache=True for expensive
Async-friendly Use async def for IO deps

5. Async Patterns

Pattern When
async def IO-bound routes (DB, HTTP calls)
def (sync) CPU-bound, blocking libraries
Background tasks Fire-and-forget after response
asyncio.gather Parallel async operations

Read the full file on GitHub · 116 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 · 116 lines · 35 tokens per session scan A d48ea35a576c

Subscribe to this mod's changes

fastapi-pro is a skill published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 797 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.