fact-checker

Identify factual claims in text documents and propose inline edits.

Updated Nov 3, 2025
One-click install
npx skills add https://github.com/ethicalcapital/skills --skill fact-checker-ethicalcapital
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fact-checker
Source: https://github.com/ethicalcapital/skills/tree/main/fact-checker
Command: npx skills add https://github.com/ethicalcapital/skills --skill fact-checker-ethicalcapital

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, httpx, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the fact-checking of text documents, identifying factual claims, searching for evidence, and proposing inline edits, saving time and reducing errors in research and writing.

Core Features & Use Cases

  • Automated Fact-Checking: Identifies and verifies factual claims in text.
  • Parallel Search: Utilizes multiple search engines for comprehensive evidence gathering.
  • Interactive Editing Loop: Allows manual review and approval of proposed edits.
  • Use Case: When reviewing a research note or investment thesis, this Skill can automatically check for factual inaccuracies and suggest edits, improving the quality and reliability of the document.

Quick Start

Run the 'fact-checker' skill on your document to automatically check for factual inaccuracies and suggest edits.

Frequently Asked Questions about fact-checker

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

FAQPage Schema
How do I automate fact-checking for text documents?▼

Automate fact-checking by running a process that identifies factual claims in text, searches for evidence across multiple sources, and proposes inline edits to improve document reliability.

What is the best way to verify factual claims in research notes?▼

Verifying factual claims in research notes is best handled by automated text analysis that searches multiple engines for evidence and suggests edits through an interactive review loop.

Do I need SearXNG and EXA to check for factual inaccuracies in content?▼

Checking for factual inaccuracies requires access to SearXNG, EXA, and Claude API for evidence retrieval and processing during the document analysis workflow.

Can I manually review and approve AI-powered content validation edits?▼

AI-powered content validation includes an interactive editing loop that allows manual review and approval of proposed inline edits before changes are finalized.

How does parallel search improve text processing for investment analysis?▼

Parallel search improves investment analysis text processing by utilizing multiple search engines simultaneously for comprehensive evidence gathering and more reliable claim validation.