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Webapp Testing

Official
github·vlatest·testing·MIT

Official github skill covering GitHub, testing for testing, debugging, and quality assurance.

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 github/awesome-copilot --skill webapp-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

github

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 github/awesome-copilot at 6c4d33b9cf.

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

Commit
6c4d33b9cf
Manifest
skills/webapp-testing/SKILL.md
Scanned
2 files, 177 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 perform testing tasks specifically tailored for GitHub-hosted web applications. It includes features like automated test script generation, integration with CI/CD pipelines, and support for common testing frameworks such as Jest and Cypress.

When to use it

  • You need to automate end-to-end tests for a GitHub-hosted frontend application.
  • Your team is setting up continuous integration workflows that require test automation.
  • You want to generate test cases based on user stories or feature descriptions.

Key capabilities

  • Automated test script generation from natural language inputs
  • Integration with GitHub Actions and other CI/CD platforms
  • Support for testing frameworks like Jest, Mocha, and Cypress
  • Debugging and reporting of test failures

Example prompts

  • "Generate a test suite for the login functionality using Jest."
  • "Set up a GitHub Actions workflow to run end-to-end tests with Cypress."
  • "Write a test case that verifies the user can successfully create a new project."

Tips & gotchas

  • Ensure your repository has proper testing dependencies installed before running generated scripts.
  • Test scripts may require adjustments based on specific application architecture or environment setup.