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Field Data Fraud Checks

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Installable skill · Course companions

Field Data Fraud Checks

Run the 12 checks that expose fabricated surveys — duplicates, GPS, duration, travel, straight-lining — and write a flagged-case report. Use before a donor back-check.

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Installs into Claude Code, opencode, Claude.ai, ChatGPT, Gemini. Members get the full library.

Ask it about

It triggers on

  • "fabricated survey"
  • "data fraud"
  • "curbstoning"
  • "back check data"
  • "gps audit"
  • "duplicate responses"
Included workflows

What it produces

  • Audit
  • Flag
  • Report
How to use it

From download to answer in three steps.

01

Download & unzip

You get a folder with SKILL.md, its references and a cheatsheet.

02

Install it

Drop it in your skills directory (Claude Code / opencode), or upload SKILL.md to a Project, Custom GPT or Gem.

03

Ask

Ask in this domain. It answers from the source, cites the section, or says [NOT IN SOURCE].

Questions

Before you install.

What exactly is a skill?

A skill is a folder your AI loads on demand: a SKILL.md with the method, reference files, a cheatsheet and a provenance manifest. The model answers from it and replies [NOT IN SOURCE] instead of inventing.

Which AIs does it work with?

This skill installs into Claude Code, opencode, Claude.ai, ChatGPT, Gemini — and any tool that reads a SKILL.md.

Will it answer from the source?

Yes. Every package carries explicit answering rules: cite the section for each claim, label authority vs reasoning, and never invent a figure, citation or rule.

Is it kept current?

Yes. Method and donor skills are reviewed quarterly and you can re-download the latest version from your dashboard.