ground-truth-search

Filter web search results to prioritize primary, ground-truth sources.

Updated Apr 13, 2026

Search Tags:#research #search #filtering #seo #primary-sources #information-quality

Ready to run

npx skills add https://github.com/henrycashe26/my_skills --skill ground-truth-search

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ground-truth-search
Source: https://github.com/henrycashe26/my_skills/tree/main/research/ground-truth-search
Command: npx skills add https://github.com/henrycashe26/my_skills --skill ground-truth-search

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the noise of SEO-optimized content farms, listicles, and AI-generated slop by forcing search results to prioritize authoritative, primary-source domains.

Core Features & Use Cases

Source-Level Filtering: Automatically biases search queries toward high-trust domains like GitHub, Wikipedia, arXiv, and official documentation.
Heuristic-Based Sourcing: Provides a clear hierarchy of trusted sources to ensure information quality and reliability.
Use Case: When researching a new technical framework, use this skill to bypass generic blog posts and go directly to the official documentation and GitHub repository issues.

Quick Start

Use the ground-truth-search skill to research the current state of React server components by prioritizing official documentation and primary technical sources.

Frequently Asked Questions about ground-truth-search

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

FAQPage Schema

How do I filter search results to prioritize primary sources?▼

To filter search results for primary sources, you use heuristic-based source-level filtering to bias queries toward high-trust domains like GitHub, arXiv, and official documentation, excluding SEO-driven content farms and AI-generated spam.

What is the best way to bypass SEO content farms when researching a technical framework?▼

The best way to bypass SEO content farms when researching a technical framework is to enforce a strict trust hierarchy of domains, forcing search retrieval to prioritize primary technical sources and official documentation instead of generic blog posts.

Can I use this source filtering approach for both academic and general knowledge research?▼

Yes, you can use this source filtering approach for academic and general knowledge research, as the heuristic-based sourcing operates across technical, academic, and general domains to ensure high-fidelity information retrieval.

How does ground-truth-search maintain information quality across different domains?▼

Ground-truth-search maintains information quality by requiring strict adherence to a predefined trust hierarchy of domains, automatically filtering out AI-generated slop and prioritizing authoritative primary sources across technical and academic research.

When should I not use a predefined trust hierarchy for web search filtering?▼

You should not use a predefined trust hierarchy for web search filtering when your research requires discovering newly published sources or niche domains not yet included in the established high-trust domain lists, as strict adherence will exclude them.