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clean-code-tests

Generate, review, and validate test suites for Python, JavaScript/TypeScript, C#, Rust, and Go codebases.

Updated Aug 23, 2026
Search Tags:#test generation#test review#coverage analysis#BORO standards#clean code testing#multi-language testing#test compliance
One-click install
npx skills add https://github.com/OntoLedgy/ol_ai_context_library --skill clean-code-tests
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: clean-code-tests
Source: https://github.com/OntoLedgy/ol_ai_context_library/tree/main/skills/clean-code-tests
Command: npx skills add https://github.com/OntoLedgy/ol_ai_context_library --skill clean-code-tests

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates the risk of inconsistent, low-quality test suites that fail to catch bugs, miss edge cases, or violate project and domain-specific (e.g. BORO) testing standards, which leads to fragile production code and wasted debugging time.

Core Features & Use Cases

  • Multi-mode test operations: Generate new tests for untested functions, review existing tests for compliance with clean code and BORO standards, and identify uncovered code paths via gap analysis.
  • Multi-language support: Works with Python, JavaScript/TypeScript, C#, Rust, and Go, with language-specific idioms and framework patterns built in for each.
  • Dual standard enforcement: Supports both general Clean Code testing standards and OB (BORO Quick Style Guide) conventions for Ontoledgy codebases, with OB rules overriding general standards where they conflict.
  • Use case: For example, if you have a new Python data processing function with no tests, use this Skill to generate a full test suite covering happy paths, edge cases, and error conditions that follows both Clean Code and BORO naming and structure rules.

Quick Start

Use the clean-code-tests skill to generate a full test suite for the function at src/processors/transaction_loader.py following general Clean Code standards for Python.

Frequently Asked Questions about clean-code-tests

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

FAQPage Schema
How do I generate clean code tests that cover edge cases for new Python functions?▼

You can generate clean code tests for new Python functions by producing a full test suite that covers happy paths, edge cases, and error conditions. The test suite strictly enforces Clean Code testing principles and F.I.R.S.T. properties.

Can I review existing test suites for compliance with Clean Code and BORO standards?▼

Yes, you can review existing test suites for compliance with general Clean Code standards and BORO Quick Style Guide conventions. BORO rules automatically override general standards where any conflicts exist during the compliance review.

Does this test generation tool work with JavaScript, TypeScript, C#, Rust, and Go codebases?▼

Yes, test generation, review, and gap analysis work with Python, JavaScript/TypeScript, C#, Rust, and Go codebases. The tool applies language-specific idioms and built-in framework patterns for each supported programming environment.

What is the best way to identify uncovered code paths in my multi-language project?▼

The best way to identify uncovered code paths is through coverage gap analysis. This process detects missing test coverage across Python, JavaScript/TypeScript, C#, Rust, and Go codebases to eliminate fragile production code and reduce debugging time.

What are the F.I.R.S.T. properties in clean code testing?▼

The F.I.R.S.T. properties are a set of clean code testing principles enforced during test generation and review. They ensure test suites remain fast, isolated, repeatable, self-validating, and timely to prevent inconsistent and low-quality testing outcomes.

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