Python Testing

Name: Python Testing
Author: affaan-m

Checked

affaan-m·vlatest·backend·MIT

Helps with Python, testing 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.

Run this in your project

terminal

$ npx skills add affaan-m/ecc --skill python-testing -a claude-code

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What we know about this skill

Publisher

affaan-m

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Install target

Live repository

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Automated safety checks

scanned 28 Sept 2026

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.
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Pinned to a commit: passed
Scanned affaan-m/everything-claude-code at d3b8a3e908.
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Commit: d3b8a3e908
Manifest: skills/python-testing/SKILL.md
Scanned: 3 files, 1,687 lines
Copies in repo: 3 — all of them scanned

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About this skill

What it does

This skill enables AI agents to write, execute, and analyze Python unit tests using popular testing frameworks like unittest, pytest, and nose. It supports test automation, code coverage analysis, and debugging of failing tests.

When to use it

You need to ensure the correctness of your Python functions or classes.
You're working on a project that requires automated testing as part of the CI/CD pipeline.
You want to identify untested parts of your codebase using coverage reports.

Key capabilities

Writing test cases for Python functions and classes
Running tests with unittest or pytest frameworks
Generating code coverage reports
Debugging failing tests by analyzing error logs

Example prompts

"Write unit tests for the calculate_sum function in my math module using pytest."
"Run all tests in the tests/ directory and generate a coverage report."
"Debug why the test for validate_email is failing with the input '[email protected]'."

Tips & gotchas

Ensure your Python environment has the required testing libraries installed (e.g., pytest).
Test files should be organized in a structure that matches the project's directory layout to avoid import errors.