Generating Cli Tests

https-deeplearning-ai/sc-agent-skills-files

Solid template for writing pytest tests against Typer CLI apps. You get ready-made fixtures for temp storage and sample data, patterns for handling confirmations (the y/n/--force dance), and a breakdown by command type (CRUD operations). The AAA structure examples are clean, and it covers the annoying edge cases like invalid IDs and empty states. Really shines when you're adding test coverage to an existing CLI or want consistent patterns across commands. The CliRunner examples with input strings for confirmations save you from hunting through docs. If you're building task managers, note apps, or any stateful CLI tool, this gets you from zero to decent coverage fast.

GitHub stars: 1.3K
last updated: Jun 8, 2026

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Install

$ npx -y skills add https-deeplearning-ai/sc-agent-skills-files --skill generating-cli-tests --agent claude-code

Installs into .claude/skills of the current project.

Files

Generating CLI Tests

Patterns for generating tests for Typer CLI commands.

Workflow

Identify command type (Create/Read/Update/Delete/Bulk)
Ensure fixtures exist in conftest.py
Write tests using scenarios below
Run tests to verify

Fixtures (conftest.py)

import json
import pytest
from typer.testing import CliRunner


@pytest.fixture
def runner():
    """CLI test runner."""
    return CliRunner()


@pytest.fixture
def temp_storage(tmp_path, monkeypatch):
    """Empty storage for testing."""
    storage_dir = tmp_path / ".task"
    storage_dir.mkdir()
    storage_file = storage_dir / "tasks.json"
    storage_file.write_text(json.dumps({"version": 1, "tasks": []}))
    monkeypatch.setenv("TASK_STORAGE_PATH", str(storage_file))
    return storage_file

SKILL.md on GitHub