Agent skill · Security

mock-hunter

Audit a live web page in five phases (catalog, click, trace, classify, report) to identify mock data, hardcoded values, LLM-generated metrics, and broken endpoints. Outputs a markdown report with REAL/MOCK/LLM/HARDCODED/BROKEN/UNKNOWN verdicts per visible value.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill mock-hunter --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Declared author: CodeShuX
Path: skills/mock-hunter/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# MockHunter — Live Page Reality Check ## Overview 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. This skill adapts the upstream `CodeShuX/mockhunter` project (community source). Because this workflow drives a real browser against live pages, treat it as an interactive audit tool, not a plugin-safe read-only helper. Default to observation-only until the user confirms the target is theirs, identifies a safe test account or environment, and explicitly approves any click, submit, or authenticated action that can mutate state. ## When to Use This Skill - Use when auditing an AI-generated UI to find out which values are actually wired up - Use when reviewing a contractor or teammate's deliverable before sign-off - Use before showing a vibe-coded MVP to a customer or investor - Use when a das

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. How It Works
  4. Phase 1: Setup & Smart Questions
  5. Phase 2: Navigate & Catalog
  6. Phase 3: Test Interactivity
  7. Phase 4: Trace Provenance
  8. Phase 5: Report
  9. Examples
  10. Example 1: Auditing a Lovable admin dashboard
  11. Example 2: Public marketing site (mostly real)
  12. Best Practices
  13. Limitations
  14. Security & Safety Notes
More from agentic-awesome-skills
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About this skill
What does the mock-hunter skill do?

Audit a live web page in five phases (catalog, click, trace, classify, report) to identify mock data, hardcoded values, LLM-generated metrics, and broken endpoints. Outputs a markdown report with REAL/MOCK/LLM/HARDCODED/BROKEN/UNKNOWN verdicts per visible value.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill mock-hunter --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going