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Frontend Tester

Checked
olehsvyrydov·vlatest·frontend·MIT

Automates frontend testing tasks like visual regression checks and accessibility audits using provided URLs and configurations.

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 olehsvyrydov/ai-development-team --skill frontend-tester --full-depth -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

olehsvyrydov

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 olehsvyrydov/ai-development-team at 19d1164f9e.

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

Commit
19d1164f9e
Manifest
claude/skills/quality/testing/frontend-tester/SKILL.md
Scanned
1 file, 233 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 frontend-tester skill allows AI agents to automate testing of frontend web applications. It can execute tests, identify visual regressions, and report on the overall quality of a user interface. This helps ensure that changes don't break existing functionality or introduce unexpected visual issues.

When to use it

  • Automated Regression Testing: After code deployments, automatically run tests to verify no new bugs were introduced.
  • Visual UI Validation: Confirm that UI elements render correctly across different browsers and screen sizes.
  • Continuous Integration Pipelines: Integrate testing into CI/CD pipelines for faster feedback loops.
  • A/B Testing Verification: Validate the visual consistency of A/B test variations.

Key capabilities

  • Test execution
  • Visual regression detection
  • Reporting on UI quality

Example prompts

  • "Run frontend tests against the latest commit."
  • "Check for any visual regressions in the checkout flow."
  • "Generate a report detailing the results of the frontend test suite."

Tips & gotchas

This skill requires access to the codebase and testing environment. Ensure proper credentials are configured within the AI agent's settings for accurate and reliable test execution.