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Test Driven Development

Checked
lgbarn·vlatest·testing·MIT

Generates comprehensive test suites and validates code functionality using LGBARN's machine learning for robust test-driven development.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add lgbarn/devops-skills --skill test-driven-development -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

lgbarn

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned lgbarn/devops-skills at 8a37cc3fe5.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
8a37cc3fe5
Manifest
skills/test-driven-development/SKILL.md
Scanned
2 files, 616 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to write and execute tests before writing code, following a Test-Driven Development (TDD) workflow. It facilitates creating automated unit tests that verify specific functionalities, ensuring code quality and reducing debugging time. The agent can generate test cases based on requirements or user stories, and then implement the corresponding functionality.

When to use it

  • New Feature Implementation: Use when developing new features for an application where you want to ensure correctness from the start.
  • Refactoring Existing Code: Apply TDD during refactoring to guarantee that changes don't break existing functionality.
  • Bug Fixing: Write tests to reproduce and verify fixes, preventing regressions.
  • Complex Logic Development: When dealing with intricate algorithms or business rules, TDD helps clarify requirements and build confidence in the implementation.

Key capabilities

  • Test case generation based on requirements
  • Automated test execution
  • Red-Green-Refactor workflow support
  • Unit testing framework integration

Example prompts

  • "Write a failing test for a function that calculates the sum of two numbers."
  • "Generate tests to cover all edge cases for validating user input in a form."
  • "Implement the 'calculate_discount' function based on these tests: [list of tests]."

Tips & gotchas

The agent requires access to a testing framework (e.g., JUnit, pytest) and appropriate development environment setup to execute generated tests. Ensure that the AI has sufficient context regarding the project’s architecture and coding standards for optimal results.