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Test

Official
facebook·vlatest·testing·MIT

Simulates user interactions and validates feature functionality across different scenarios to identify bugs and ensure quality.

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 react/react --skill test -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

facebook

Matched to the vendor's own GitHub organisation.

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 facebook/react at d083ec1da1.

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

Commit
d083ec1da1
Manifest
.claude/skills/test/SKILL.md
Scanned
1 file, 47 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

The test skill provides a way to verify and validate AI agent functionality, ensuring that the agent behaves as expected under various conditions. It allows users to run predefined checks or custom test cases to confirm correctness, reliability, and performance of an AI agent's responses.

When to use it

  • Before deploying an AI agent in production to ensure it meets quality standards.
  • After making changes to an agent’s logic or training data to verify that the updates haven’t introduced errors.
  • To compare the performance of different AI agents or versions of the same agent.
  • As part of a continuous integration pipeline for automated testing and validation.

Key capabilities

  • Run predefined test cases against an AI agent.
  • Validate responses based on expected outcomes.
  • Support for custom test scripts or scenarios.
  • Integration with monitoring tools for performance tracking.

Example prompts

  • "Run all unit tests for the AI agent."
  • "Test the response to 'What is 2+2?' and ensure it returns '4'."
  • "Validate that the agent correctly handles ambiguous user queries in a test scenario."

Tips & gotchas

  • Ensure your test cases cover edge cases and unexpected inputs.
  • Test results may vary depending on the AI model's training data and configuration.