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Unit Testing Test Generate

Checked
rmyndharis·vlatest·testing·MIT

Helps with testing, code generation as part of testing, debugging, and quality assurance workflows.

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 rmyndharis/antigravity-skills --skill unit-testing-test-generate -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

rmyndharis

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Scanned
1 file, 308 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 automatically generates unit tests for code. It can create test files based on existing source code, helping developers ensure code quality and catch errors early in the development cycle. The generated tests are intended to provide a baseline level of coverage and can be further customized by the developer.

When to use it

  • Rapid prototyping: Quickly generate basic unit tests for new functions or classes during initial development.
  • Legacy code refactoring: Create test suites for older codebases lacking automated testing, facilitating safer modifications.
  • Code coverage improvement: Supplement existing tests and increase overall code coverage.
  • Learning a new codebase: Generate tests to understand the behavior of unfamiliar functions or modules.

Key capabilities

  • Generates unit tests from source code.
  • Creates test files.
  • Provides baseline test coverage.

Example prompts

  • "Generate unit tests for this Python function: [code snippet]"
  • "Create a test file for the calculate_average class."
  • “Can you generate some basic tests to cover this JavaScript module?”

Tips & gotchas

The generated tests are a starting point and may require modification to accurately reflect complex logic or edge cases. Ensure that the code being tested is well-structured and documented for optimal test generation results.