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Python Testing Patterns

Checked
nickcrew·vlatest·backend·MIT

Helps with Python, testing, patterns as part of developing backend services and APIs workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add nickcrew/claude-cortex --skill python-testing-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

nickcrew

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Install target

Live repository

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No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

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  • Pinned to a commit: passed

    Scanned nickcrew/claude-ctx-plugin at bb47af79ad.

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Commit
bb47af79ad
Manifest
skills/python-testing-patterns/SKILL.md
Scanned
13 files, 2,379 lines
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About this skill

What it does

This skill provides guidance and code examples for implementing common Python testing patterns. It helps developers write more robust, maintainable tests using techniques like mocking, patching, test fixtures, and parameterized tests. The skill aims to improve the quality of Python code through better testing practices.

When to use it

  • When you need help writing unit tests for a specific function or class in your Python project.
  • To understand how to effectively mock dependencies during testing.
  • If you're struggling with setting up test fixtures and want examples of best practices.
  • For assistance creating parameterized tests to cover various input scenarios efficiently.

Key capabilities

  • Mocking
  • Patching
  • Test Fixtures
  • Parameterized Tests

Example prompts

  • "Show me an example of how to mock a database connection in a Python unit test."
  • "How can I use patching to replace a function call with a mock object?"
  • "Generate a parameterized test for this function, covering positive and negative inputs."

Tips & gotchas

This skill assumes you have basic familiarity with Python and the unittest framework. The effectiveness of the generated code depends on providing clear context about the code being tested.