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Unit Test Generator

Checked
patricio0312rev·vlatest·testing·MIT

Automatically generates comprehensive unit tests from code to ensure quality and identify potential bugs.

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 patricio0312rev/skills --skill unit-test-generator -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

patricio0312rev

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 patricio0312rev/skills at 79ea6af485.

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

Scanned
1 file, 531 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

unit-test-generator

What it does

This skill enables AI agents to automatically generate unit tests for code, ensuring that functions and modules are rigorously validated against expected behaviors. It streamlines the testing workflow by producing test cases directly from source code logic without manual intervention.

When to use it

  • Automating regression testing when refactoring existing codebases to prevent unintended side effects.
  • Rapidly creating comprehensive test suites for new features during agile development sprints.
  • Validating edge cases and boundary conditions that might be overlooked in manual review.
  • Integrating into CI/CD pipelines to enforce quality gates before deployment.

Key capabilities

  • Automatic analysis of source code structure to identify testable units.
  • Generation of executable unit tests tailored to specific programming languages.
  • Creation of diverse test scenarios covering normal flows and error handling.

Example prompts

  • "Analyze the calculateTotal function in my Python script and generate a unit test suite covering zero, positive, and negative inputs."
  • "Create Jest unit tests for this React component that validates state updates based on user button clicks."
  • "Write a set of unit tests for the provided Java service class, ensuring all public methods are covered with at least one assertion per method."

Tips & gotchas

Ensure your AI agent has access to the full source code context and any necessary dependencies to generate accurate and runnable tests. Always review generated tests manually to verify they align with specific project architecture and business logic requirements.