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Skills directory/timdavidlee/adorable-thunder-data-generators/scrutinize-briefs

Synthetic Data Brief Review Skill for ChatGPT: Check Records, Rules and Realism Benchmarks

Review a fictional-data brief for a reproducible workflow, record types, fields, and rules. Check evidence for volume, rates, timing, and distributions.

中文

Install in ChatGPT

Requires a ChatGPT workspace where you can create skills. This is a text adaptation of the pinned GitHub source.

  1. Review the inputs and outputs in the pinned .claude/skills/scrutinize-briefs/SKILL.md.
  2. In ChatGPT, open Plugins, Skills, Create, and Create with editor.
  3. Write the skill rules using the workflow described here. Provide the workflow, record model, constraints, and benchmark evidence.
  4. Save the skill and check the fictional example in a new chat.

Example task

A fictional equipment lending brief covers equipment, loans, and returns, but omits overlap rules and observed loan duration. Draft a review table.

What to check

Retain the record types and flag relationship and collision rules. Separate missing duration, volume, and overdue-rate evidence and propose measurements.

Original SKILL.md on GitHub · Updated 2026-11-13

Frequently asked question

Can a fixed realistic distribution be assumed without benchmarks?

Use explicitly labeled test assumptions for demonstration. Obtain attributable observations when the dataset needs to reflect real use.

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