fastapi

fastapi is a skill for Claude Code, Codex from hyqibot/token-free-openclaw. It costs 57 tokens per session (2,441 once invoked), scanned A, a copy of fastapi, Apache-2.0.

A set of coding guidelines for FastAPI, a Python framework used to build web APIs, and Pydantic, a library for checking and describing data.

In plain words
What is it for?
It is for building or refactoring FastAPI web services, defining API data models, starting development or production servers, and configuring their application entry point.
Why use it?
It helps developers write new FastAPI code and update older code using current conventions, including clearer API parameters and project setup.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit It is for building or refactoring FastAPI web services, defining API data models, starting development or production servers, and configuring their application entry point.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hyqibot/token-free-openclaw/fastapi
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 hyqibot/token-free-openclaw --skill fastapi
Clone the repo
git clone --depth 1 https://github.com/hyqibot/token-free-openclaw

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/hyqibot/token-free-openclaw/fastapi"><img src="https://agentmods.dev/badge/skills/hyqibot/token-free-openclaw/fastapi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,441 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 97% copy Near-identical to another mod 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 $0.00057 $0.02441
Opus 5 $0.00028 $0.01221
Sonnet 5 $0.00011 $0.00488
Haiku 4.5 $0.00006 $0.00244

Measured 9d ago against content hash 3c8b2bced322, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

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 9d 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.

Origin

This is a copy

97% identical to fastapi — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

fastapi/.agents/skills/fastapi/SKILL.md · 437 lines

How it starts

The opening of the file, as written. The whole thing — 437 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FastAPI

Official FastAPI skill to write code with best practices, keeping up to date with new versions and features.

Use the fastapi CLI

Run the development server on localhost with reload:

fastapi dev

Run the production server:

fastapi run

Add an entrypoint in pyproject.toml

FastAPI CLI will read the entrypoint in pyproject.toml to know where the FastAPI app is declared.

[tool.fastapi]
entrypoint = "my_app.main:app"

Use fastapi with a path

When adding the entrypoint to pyproject.toml is not possible, or the user explicitly asks not to, or it's running an independent small app, you can pass the app file path to the fastapi command:

fastapi dev my_app/main.py

Prefer to set the entrypoint in pyproject.toml when possible.

Use Annotated

Always prefer the Annotated style for parameter and dependency declarations.

It keeps the function signatures working in other contexts, respects the types, allows reusability.

In Parameter Declarations

Use Annotated for parameter declarations, including Path, Query, Header, etc.:

from typing import Annotated

from fastapi import FastAPI, Path, Query

app = FastAPI()


@app.get("/items/{item_id}")
async def read_item(
    item_id: Annotated[int, Path(ge=1, description="The item ID")],
    q: Annotated[str | None, Query(max_length=50)] = None,
):
    return {"message": "Hello World"}

instead of:

# DO NOT DO THIS
@app.get("/items/{item_id}")
async def read_item(
    item_id: int = Path(ge=1, description="The item ID"),
    q: str | None = Query(default=None, max_length=50),
):
    return {"message": "Hello World"}

For Dependencies

Use Annotated for dependencies with Depends().

Unless asked not to, create a new type alias for the dependency to allow re-using it.

from typing import Annotated

from fastapi import Depends, FastAPI

app = FastAPI()


def get_current_user():
    return {"username": "johndoe"}


CurrentUserDep = Annotated[dict, Depends(get_current_user)]


@app.get("/items/")
async def read_item(current_user: CurrentUserDep):
    return {"message": "Hello World"}

Read the full file on GitHub · 437 lines

Files

What ships with it

3 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. 9d ago First seen · 437 lines · 57 tokens per session scan A 3c8b2bced322

Subscribe to this mod's changes

fastapi is a skill published in the GitHub repository hyqibot/token-free-openclaw (122 stars, last pushed 17d ago), licensed Apache-2.0. It adds 57 tokens to every session and 2,441 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to fastapi, differing in 2 lines, and is treated as a copy.

Related

Other skills, from other repositories

async-python-patterns

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

agent-skills-hub/agent-skills-hub · 42 tokens

python-cola-skill

A guide to organising Python back-end applications with the COLA architecture, a layered way to separate business rules, application actions, and technical connections. It applies to Flask and FastAPI projects and uses ideas from domain-driven design, which models software around the business domain.

jackjin1997/ClawForge · 155 tokens

django-patterns

Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.

majiang213/OpenClaw-MAS · 32 tokens

stripe-projects

Use after E2B sandbox/API access has been provisioned through Stripe Projects and the user needs to use the resulting E2B API key with the E2B CLI, JavaScript SDK, Python SDK, or Code Interpreter SDK.

e2b-dev/E2B · 51 tokens

azure-messaging-webpubsubservice-py

Azure Web PubSub Service SDK for Python. Use for real-time messaging, WebSocket connections, and pub/sub patterns. Triggers: "azure-messaging-webpubsubservice", "WebPubSubServiceClient", "real-time", "WebSocket", "pub/sub".

microsoft/skills · 64 tokens

azure-mgmt-botservice-py

Azure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources. Triggers: "azure-mgmt-botservice", "AzureBotService", "bot management", "conversational AI", "bot channels".

microsoft/skills · 59 tokens