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Browser Debugging

Checked
aj-geddes·vlatest·frontend·MIT

Inspects web pages, executes JavaScript, and analyzes browser console output to identify and resolve website issues.

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 aj-geddes/useful-ai-prompts --skill browser-debugging -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/browser-debugging/SKILL.md
Scanned
6 files, 345 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

browser-debugging

What it does

This skill enables AI agents to inspect and troubleshoot web applications directly within the browser environment. It allows for real-time analysis of page elements, network traffic, and console logs to identify rendering issues or functional errors.

When to use it

  • Diagnosing why a specific button fails to trigger an action on a live website.
  • Investigating layout shifts or missing assets in a production build.
  • Verifying that dynamic content loads correctly after a code deployment.
  • Capturing console error messages to provide developers with precise context.

Key capabilities

  • Accessing the browser's Developer Tools interface programmatically.
  • Inspecting DOM elements and their current state.
  • Analyzing network requests and responses for failures.
  • Reading and filtering JavaScript console logs.

Example prompts

  • "Open the browser debugger and check if the 'Checkout' button on this page is disabled."
  • "Inspect the network tab to see why the product images are not loading."
  • "Read the latest error message from the console and summarize it for me."

Tips & gotchas

Ensure the target website allows automated debugging access, as some sites block script injection. For best results, provide the AI with specific URLs or screenshots alongside your request to narrow down the scope of the investigation.