refactor-test

A rule for reviewing and improving generated unit tests. Unit tests are small automated checks for individual pieces of code, such as functions or methods.

In plain words
What is it for?
Use it to review generated tests, reorganize them, add scenarios, check code paths and errors, and improve setup, teardown, names, and documentation.
Why use it?
It helps find missing edge cases, duplicated checks, weak error coverage, and unclear test organization. It can also improve test reliability and efficiency.

Cursor rule

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/holasoymalva/ai-unit-test-builder/refactor-test
Clone the repo
git clone --depth 1 https://github.com/holasoymalva/AI-Unit-Test-Builder
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,093 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00012 $0.02093
Opus 5 $0.00006 $0.01046
Sonnet 5 $0.00002 $0.00419
Haiku 4.5 $0.00001 $0.00209

Measured 3d ago against content hash d12d2fb8ea64, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

refactor-test scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

mdc/refactor-test.mdc · 334 lines

How it starts

The opening of the file, as written. The whole thing — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rule: Test Refactoring and Optimization

Goal

To guide an AI assistant in reviewing and improving generated unit tests by optimizing structure, enhancing coverage, removing redundancy, and following testing best practices.

Prerequisites

  • Generated unit test file (from generate-unit-test.mdc)
  • Original source code file
  • Function analysis document (optional but helpful)

Process

  1. Analyze Current Tests: Review the existing test file for quality and coverage
  2. Identify Improvements: Find areas for optimization, missing coverage, or redundancy
  3. Refactor Structure: Optimize test organization and readability
  4. Enhance Coverage: Add missing test scenarios
  5. Optimize Performance: Improve test efficiency and reliability
  6. Update Documentation: Add or improve test comments and descriptions

Analysis Checklist

Test Structure Review

  • Are tests logically grouped and organized?
  • Are test names descriptive and follow conventions?
  • Is there proper setup and teardown?
  • Are tests independent of each other?

Coverage Assessment

  • Are all code paths tested?
  • Are edge cases adequately covered?
  • Are error scenarios tested?
  • Are async operations properly tested?

Code Quality

  • Are there duplicate test patterns that can be abstracted?
  • Are mocks properly configured and reset?
  • Are test utilities reusable?
  • Is the code readable and maintainable?

Performance & Reliability

  • Are tests fast and efficient?
  • Are there any flaky or unreliable tests?
  • Are async operations properly awaited?
  • Are timeouts appropriately set?

Refactoring Strategies

1. Test Organization

Before (Poor Organization)
describe('UserService', () => {
  it('should create user', () => { /* test */ });
  it('should handle invalid email in create', () => { /* test */ });
  it('should delete user', () => { /* test */ });
  it('should handle invalid id in delete', () => { /* test */ });
});

Read the full file on GitHub · 334 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 334 lines · 12 tokens per session scan A d12d2fb8ea64

Subscribe to this mod's changes

refactor-test is a cursor rule published in the GitHub repository holasoymalva/AI-Unit-Test-Builder (7 stars, last pushed 1y ago), licensed MIT. It adds 12 tokens to every session and 2,093 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.