python-api-development

Guidance for building Python web APIs with FastAPI or Flask, including authentication, input checking, and asynchronous endpoints that can handle waiting work efficiently.

In plain words
What is it for?
Use it to create REST endpoints, define validated request models, add authentication, choose between FastAPI and Flask, and build asynchronous services.
Why use it?
It helps choose a framework and set up consistent validation, documentation, and request handling without designing every pattern from scratch.

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/justanesta/claude-code-resources/python-api-development
Any agent
npx skills add justanesta/claude-code-resources --skill python-api-development
Clone the repo
git clone --depth 1 https://github.com/justanesta/claude-code-resources

Made for: Claude Code, Codex.

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 932 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 $0.00062 $0.00932
Opus 5 $0.00031 $0.00466
Sonnet 5 $0.00012 $0.00186
Haiku 4.5 $0.00006 $0.00093

Measured yesterday against content hash d30f9682282b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-api-development 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.

skills/python/python-api-development/SKILL.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python API Development

Modern patterns for building production-ready APIs with FastAPI and Flask.

Decision Matrix: FastAPI vs Flask

Factor FastAPI Flask Winner
Performance High (async) Moderate FastAPI
Auto docs Built-in (OpenAPI) Manual FastAPI
Validation Pydantic (automatic) Manual/extensions FastAPI
Learning curve Steeper Gentler Flask for beginners
Async support Native With extensions FastAPI

General guidance:

  • Use FastAPI when: New projects, async needed, want auto-docs, type safety important
  • Use Flask when: Simple apps, team knows Flask, sync-only fine, want simplicity

FastAPI Patterns

Basic API Structure

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    name: str
    price: float

@app.get("/")
def read_root():
    return {"message": "Hello World"}

@app.post("/items/")
def create_item(item: Item):
    return item

Pydantic Models for Validation

from pydantic import BaseModel, Field

class User(BaseModel):
    username: str = Field(..., min_length=3, max_length=50)
    email: str
    age: int = Field(..., ge=0, le=150)

See pydantic-validation.md for:

  • Custom validators
  • Model inheritance
  • Nested models

Dependency Injection

from fastapi import Depends

def get_db():
    db = Database()
    try:
        yield db
    finally:
        db.close()

@app.get("/items/")
def read_items(db = Depends(get_db)):
    return db.get_items()

See dependency-injection-patterns.md for:

  • Class-based dependencies
  • Dependency override (testing)
  • Sub-dependencies

Async Endpoints

@app.get("/data/")
async def get_data():
    async with httpx.AsyncClient() as client:
        response = await client.get("https://api.example.com/data")
        return response.json()

Read the full file on GitHub · 163 lines

Files

What ships with it

5 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 First seen · 163 lines · 62 tokens per session scan A d30f9682282b

Subscribe to this mod's changes

python-api-development is a skill published in the GitHub repository justanesta/claude-code-resources (2 stars, last pushed 4mo ago), licensed MIT. It adds 62 tokens to every session and 932 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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