examples-audit

Analyze mock data and examples to identify cultural assumptions and inclusivity gaps.

5|Updated Jan 14, 2026

Search Tags:#examples #analyze #diversity #mock-data #inclusive-design #cultural-bias

Ready to run

npx skills add https://github.com/hereinthehive/gotrino-inclusion --skill examples-audit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: examples-audit
Source: https://github.com/hereinthehive/gotrino-inclusion/tree/main/skills/examples-audit
Command: npx skills add https://github.com/hereinthehive/gotrino-inclusion --skill examples-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams understand what their test data, documentation, or seed data communicates about who the product is for, revealing hidden biases and inclusivity gaps.

Core Features & Use Cases

Identify patterns in mock data and examples that reflect a default user.
Evaluate holiday, food, location, payment, family, and other cultural cues across data samples.
Provide a structured report with recommendations for more inclusive content and datasets.

Quick Start

Analyze a sample dataset or test data to surface inclusive improvements.

Frequently Asked Questions about examples-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I identify cultural bias in mock data and test datasets?▼

Analyzing mock data for cultural bias involves evaluating test datasets and documentation to reveal hidden patterns that privilege a default user group. This surfaces inclusivity gaps related to holidays, food, family, and payment cues.

What is inclusive design analysis for seed data and documentation?▼

Inclusive design analysis for seed data evaluates cultural assumptions across product examples to ensure diverse representation. It generates a structured report highlighting exclusions and recommending improvements for broader accessibility.

How do I analyze documentation for inclusivity gaps and cultural assumptions?▼

Analyzing documentation for inclusivity gaps involves reviewing seed data and examples to detect default user patterns. This yields a structured diversity report detailing cultural assumptions and providing recommendations for more inclusive content.

Can I use a configuration file to guide cultural bias audits on project data?▼

Yes, you can use an optional inclusion configuration file to guide cultural bias audits on project data. The analysis requires access to project data and reads configuration settings to output a structured diversity report.

What types of cultural cues are evaluated when auditing examples for diversity?▼

Auditing examples for diversity evaluates specific cultural cues like holidays, food, locations, payment methods, and family structures across data samples. This identifies patterns reflecting a default user and highlights inclusivity gaps.