Install
$ agentstack add skill-andersonamaral2-claude-code-to-deep-agents-skills-converter-codex-output ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Skill: Python FastAPI Todo App
> Creates a simple Todo API with FastAPI, SQLite, and basic CRUD operations.
When to use
When the user asks to create a todo app, task manager API, or simple REST API with Python.
Steps
First, make sure Python 3.11+ is installed. On macOS use brew install python@3.11, on Linux use apt-get install python3.11.
Create the project directory and initialize a virtual environment:
mkdir -p todo-api/app
cd todo-api
python3 -m venv venv
source venv/bin/activate
Install the dependencies:
pip install fastapi uvicorn sqlalchemy
Create the file app/database.py:
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
DATABASE_URL = "sqlite:///./todos.db"
engine = create_engine(DATABASE_URL, connect_args={"check_same_thread": False})
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()
Create the file app/models.py:
from sqlalchemy import Column, Integer, String, Boolean
from .database import Base
class Todo(Base):
__tablename__ = "todos"
id = Column(Integer, primary_key=True, index=True)
title = Column(String, index=True)
description = Column(String, default="")
completed = Column(Boolean, default=False)
Create app/main.py with the FastAPI app, including these endpoints:
GET /todos— list all todosPOST /todos— create a new todoPUT /todos/{id}— update a todoDELETE /todos/{id}— delete a todo
The app should read $API_HOST and $API_PORT from the environment for the server bind address.
Add the project conventions to AGENTS.md at the root (Codex reads AGENTS.md for persistent project context).
Test the API:
curl http://localhost:8000/todos
curl -X POST http://localhost:8000/todos -H "Content-Type: application/json" -d '{"title": "Buy milk", "completed": false}'
For each endpoint, run a quick smoke test to make sure it returns 200.
Notes
- Keep it simple, no auth needed
- Use SQLite so there's no external database dependency
- Add a
.envwithAPI_HOST=0.0.0.0andAPI_PORT=8000
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: andersonamaral2
- Source: andersonamaral2/Claude-Code-to-Deep-Agents-Skills-Converter
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.