fact-checker

Identify verifiable factual claims in documents and generate source-backed correction reports.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/HuuBar/skill-routing-experiment --skill fact-checker-huubar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fact-checker
Source: https://github.com/HuuBar/skill-routing-experiment/tree/main/unified_skills/daymade/fact-checker
Command: npx skills add https://github.com/HuuBar/skill-routing-experiment --skill fact-checker-huubar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams and individuals ensure the factual accuracy of documents by automatically identifying verifiable claims, cross-checking them against authoritative sources, and generating structured correction reports for review.

Core Features & Use Cases

  • Automated claim extraction: scans documents to locate numerical data, version numbers, and factual statements.
  • Source-backed verification: retrieves official sources and compares them to the claims.
  • Correction reporting: compiles a concise report with sources and suggested edits for approval.
  • Use cases include maintaining up-to-date product docs, technical specifications, and research papers where accuracy is critical.

Quick Start

Provide a document and request verification of its factual claims against official sources, then generate a correction report.

Frequently Asked Questions about fact-checker

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

FAQPage Schema
How do I verify factual claims in a document against authoritative sources?

To verify factual claims in a document, the skill scans for numerical data, version numbers, and factual statements, then cross-checks them against official documentation, API specs, and research publications to ensure accuracy.

Can I automatically extract verifiable claims from technical documentation?

Yes, you can automatically extract verifiable claims from technical documentation. The skill scans documents to locate numerical data, dates, and factual statements, comparing them against retrieved official sources for validation.

How do I generate a correction report for inaccurate product documentation?

You generate a correction report by providing the document for verification. The skill compiles a concise report with sources and suggested edits, using an approval-based workflow to apply the necessary changes.

What is the best way to fact-check research papers for numerical accuracy?

The best way to fact-check research papers for numerical accuracy is using automated claim extraction. The skill identifies verifiable factual statements and retrieves official research publications to validate the numbers and dates.

Does this fact-checking approach work with API specifications and version numbers?

Yes, this fact-checking approach works with API specifications and version numbers. It retrieves official API specs to validate the technical claims, version numbers, and numerical data present in your documentation.

What types of documents are supported for automated claim verification?

Automated claim verification supports product docs, technical specifications, and research papers. The skill identifies verifiable claims within these documents and generates a structured correction report for review.