test-coverage-improver

Name: test-coverage-improver
Availability: InStock
Author: sisyphus1212

Identify Python code coverage gaps and propose high-impact test ideas.

Updated Feb 23, 2026

Search Tags:#automation #testing #python #qa #coverage #test

Ready to run

npx skills add https://github.com/sisyphus1212/codex-fusion-starter-template --skill test-coverage-improver-sisyphus1212

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: test-coverage-improver
Source: https://github.com/sisyphus1212/codex-fusion-starter-template/tree/main/scaffold/.agents/skills/test-coverage-improver
Command: npx skills add https://github.com/sisyphus1212/codex-fusion-starter-template --skill test-coverage-improver-sisyphus1212

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify coverage gaps in codebases and propose high-impact tests to raise overall test coverage.

Core Features & Use Cases

Surface under-tested files and code paths from coverage reports.
Propose concrete test ideas with scenarios, expectations, and impact estimates, then require user approval before implementation.
Provide a repeatable workflow that fits into CI pipelines and promotes incremental quality improvements.

Quick Start

Run the coverage workflow at the project root and review proposed tests before writing any new tests.

Frequently Asked Questions about test-coverage-improver

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I identify coverage gaps in a Python project?▼

To identify coverage gaps in a Python project, this workflow analyzes coverage artifacts like .coverage or coverage.xml files to surface under-tested public APIs and core utilities. It prioritizes high-leverage areas to maximize coverage improvements.

How do I propose high-impact tests for untested Python code paths?▼

To propose high-impact tests for untested Python code paths, the workflow drafts concrete test ideas with scenarios, expectations, and impact estimates. It requires user approval before any coding changes are implemented.

Do I need a coverage report to generate test ideas for my Python repository?▼

Yes, you need existing coverage artifacts to generate test ideas. The Skill requires running make coverage to regenerate reports and collect artifacts before proposing tests for public APIs and core utilities.

Can I integrate automated test coverage proposals into a CI pipeline?▼

Yes, you can integrate this into a CI pipeline to promote incremental quality improvements. The workflow provides a repeatable process to surface coverage gaps and propose tests, fitting naturally into automated quality checks.

What is the workflow for improving Python test coverage with guided approvals?▼

The workflow for improving Python test coverage involves running make coverage, collecting artifacts, and drafting targeted test ideas. It awaits explicit user approval before writing any new tests to ensure guided implementation.