domains / families / agent-tooling / mock-hunter

mock-hunter

separate

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.

When to use

• 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 dashboard "looks too clean" — every metric uniformly round, all timestamps clustered, no variance — and you suspect seeded data

When not to use

• Single-page audit per run — no multi-page crawl in v0.1.0
• Form-login only for auth — no OAuth, magic-link, or 2FA in v0.1.0
• Caps at ~30 most-prominent buttons per page
• Markdown report only — no JSON output yet
• DB verification supports any DB reachable via shell command (psql, mysql, mongosh, wrangler, supabase REST), but not Firestore directly

Skill page

Source