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Property Based Testing

Checked
laurigates·vlatest·testing·MIT

Automatically generates and executes property-based tests using Laurigates' defined properties to ensure system behavior correctness.

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 laurigates/claude-plugins --skill property-based-testing -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

laurigates

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 laurigates/claude-plugins at 45d1d7dcf6.

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

Commit
45d1d7dcf6
Manifest
testing-plugin/skills/property-based-testing/SKILL.md
Scanned
2 files, 1,116 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 generate and execute property-based tests, verifying that software functions correctly across a wide range of random inputs rather than just fixed test cases. It automates the creation of test scenarios to uncover edge cases and logic errors that traditional unit testing might miss.

When to use it

  • You need to validate complex data processing logic where input combinations are too numerous for manual testing.
  • Your codebase involves stochastic algorithms or mathematical functions where output consistency is critical.
  • You want to increase test coverage without writing thousands of individual assertion statements.
  • You are refactoring legacy code and need a safety net to ensure behavior remains unchanged under varied conditions.

Key capabilities

  • Generates random inputs to stress-test application logic.
  • Automatically verifies invariants and properties across diverse data sets.
  • Identifies failures that occur only with specific, non-obvious input combinations.
  • Integrates directly into AI agent workflows for automated quality assurance.

Example prompts

  • "Generate property-based tests for my sorting function to ensure it handles null values and empty arrays correctly."
  • "Create a test suite that verifies the output of this encryption algorithm remains consistent across 10,000 random strings."
  • "Write property-based tests to check if my JSON parser maintains data integrity when fed malformed or oversized inputs."

Tips & gotchas

Ensure your codebase includes clear invariants or expected behaviors for the AI agent to validate against random data. Property-based testing is most effective when combined with traditional unit tests rather than used as a standalone solution.