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Webapp Testing

Checked
prat011·vlatest·testing

Automates web application testing workflows, identifying functional bugs and usability issues across diverse browsers and devices.

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 prat011/awesome-llm-skills --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

prat011

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 prat011/awesome-llm-skills at 35e1ea23b6.

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

Commit
35e1ea23b6
Manifest
webapp-testing/SKILL.md
Scanned
6 files, 300 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 allows AI agents to perform basic testing of web applications. It can check for common issues like broken links, incorrect form submissions, and unexpected behavior on key pages. The agent will report its findings in a structured format, highlighting potential problems for developers or users.

When to use it

  • Initial QA: Quickly assess the stability of a new website or feature before wider release.
  • Regression Testing: Verify that recent code changes haven't introduced any regressions or broken existing functionality.
  • User Experience Checks: Simulate user interactions and identify usability issues on critical pages.
  • Link Validation: Ensure all internal and external links are functioning correctly.

Key capabilities

  • Broken link detection
  • Form submission validation
  • Page behavior verification
  • Structured reporting of findings

Example prompts

  • "Test the homepage for broken links."
  • "Verify that the contact form submits successfully with valid data."
  • "Check the checkout process on this e-commerce site to ensure it flows correctly."

Tips & gotchas

This skill is designed for basic testing and may not catch all potential issues. It's most effective when combined with more comprehensive manual or automated testing procedures.