tests-review

Review test file coverage iteratively and write feedback to JSONL files.

Updated Feb 25, 2026
One-click install
npx skills add https://github.com/thomfilg/ai-plugin-work --skill tests-review-thomfilg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tests-review
Source: https://github.com/thomfilg/ai-plugin-work/tree/main/plugins/work/skills/tests-review
Command: npx skills add https://github.com/thomfilg/ai-plugin-work --skill tests-review-thomfilg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill assists in reviewing test edge case coverage iteratively, providing feedback to improve test quality.

Core Features & Use Cases

  • Iterative Review: Checks for changes in test files and updates coverage over multiple iterations.
  • Feedback Generation: Writes feedback to tests-feedback.jsonl and tests-feedback.txt.
  • Use Case: It's ideal for developers looking to ensure comprehensive test coverage and maintain code quality.

Quick Start

Review the test edge case coverage of 'test_cases.py' using the tests-review skill.

Frequently Asked Questions about tests-review

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

FAQPage Schema
How do I iteratively review test edge case coverage in a continuous integration workflow?

Iterative test edge case coverage review compares changes in test files over multiple iterations. It tracks coverage updates continuously and outputs feedback to JSONL and text files for maintaining test quality in development workflows.

What is the best way to generate feedback on test quality for my codebase?

Generating test quality feedback involves analyzing test files for edge case coverage and writing structured results to JSONL and text files. This approach provides actionable insights for developers to improve test comprehensiveness.

Can I track test coverage changes across multiple iterations of my test files?

Tracking test coverage across multiple iterations is supported by comparing changes in test files over time. The process updates coverage reports iteratively, allowing developers to monitor improvements and identify gaps in edge case testing.

Does this test review process output feedback in a structured format for automation?

The test review process outputs feedback in JSONL format, specifically writing to JSONL and text files. This format enables easy parsing and integration with automated continuous integration systems and development workflows.

When do I need to use an iterative test review process?

An iterative test review process is needed when maintaining comprehensive test coverage in continuous integration workflows. It is ideal when developers require ongoing feedback on test edge cases and need to track coverage improvements across multiple file iterations.