What are the five phases of a MockHunter audit?

The audit runs in five phases: setup (auto-detect stack and ask targeted questions), navigate and catalog (load page and inventory all elements), test interactivity (click approved controls and submit forms with throwaway data), trace provenance (determine where each value came from), and report generation (output a markdown report with findings).

What are the current limitations of MockHunter?

Current limitations include single-page audits only (no multi-page crawl), form-login authentication only (no OAuth/magic-link/2FA), a ~30-button cap per page, and Markdown-only report output.

When should I NOT use MockHunter?

Do not run MockHunter on apps you don't own or don't have explicit permission to audit, as it drives a real browser and can click buttons or submit forms that may mutate state. Always confirm you own the target, identify a safe test environment, and explicitly approve any interactive actions before proceeding.

What output does MockHunter produce?

MockHunter produces a `mockhunter-report.md` file containing a summary verdict table, per-element findings with verdicts and sources, console errors and network failures, a list of no-op buttons, flagged suspicious data patterns, and follow-up questions.

Skill

Audit Live Web Pages for Real Data

Name: MockHunter - Live Page Reality Check
Availability: OnlineOnly
Author: Antigravity

MockHunter audits live web pages to identify whether each visible value is real data, mocked, LLM-generated, hardcoded, broken, or unknown using browser

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Works with playwright openaisupabasereplitgoogle

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Spark score

out of 100

Updated 13 days ago

Source checked Sep 10, 2026

Version 17.0.0

Models

claude

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Why it matters

Verify the authenticity of data displayed on live web applications, distinguishing between real, mocked, or hardcoded values to ensure UI integrity.

Outcomes

What it gets done

Audit live web pages for data provenance.

Identify hardcoded, mocked, LLM-generated, or broken values.

Trace visible data points back to their network or DOM source.

Generate a detailed report of findings and potential issues.

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-mock-hunter | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

Reports

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Overview

MockHunter - Live Page Reality Check

MockHunter audits live web pages by driving a real browser with Playwright MCP and tracing every visible value through the network and DOM to its source. It classifies each value as real, mocked, LLM-generated, hardcoded, broken, or unknown. Use MockHunter when auditing vibe-coded applications built with tools like Lovable, Bolt, v0, Replit, AI Studio, or Cursor Composer, where the UI may look complete but the data layer is often incomplete or filled with placeholders.

What it does

MockHunter is a Claude Code skill that audits live web pages by inspecting every visible value and classifying its source as real, mocked, LLM-generated, hardcoded, broken, or unknown. It uses Playwright MCP to drive a real browser, then traces each visible value through the network and DOM to determine its origin.

When to use - and when NOT to

Use MockHunter when working with vibe-coded apps built in platforms like Lovable, Bolt, v0, Replit, AI Studio, or Cursor Composer, where the UI may appear complete but the underlying data layer is often incomplete or placeholder-filled.

Do not use MockHunter if your application does not have a live web interface to audit, or if you need static code analysis rather than runtime inspection of rendered pages.

Inputs and outputs

You provide a live web page URL. MockHunter tells you, for every visible value, whether it is real, mocked, LLM-generated, hardcoded, broken, or unknown.

Integrations

MockHunter integrates with Playwright MCP for browser automation and DOM inspection. It is designed specifically for auditing applications built with vibe-coding platforms including Lovable, Bolt, v0, Replit, AI Studio, and Cursor Composer.

Who it's for

MockHunter is built for those working with vibe-coded apps where the UI may look complete but the data layer often is not.

Source README

MockHunter is a Claude Code skill that audits a live web page and tells you, for every visible value, whether it is real, mocked, LLM-generated, hardcoded, broken, or unknown. It is built for vibe-coded apps (Lovable, Bolt, v0, Replit, AI Studio, Cursor Composer) where the UI may look complete but the data layer often is not. It uses Playwright MCP to drive a real browser, then traces each visible value through the network and DOM to its source.

FAQ

Common questions

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