doublecheck

Name: doublecheck
Availability: InStock
Author: CompSci-Squad

Extract claims from AI-generated text and verify them via web search.

Updated Apr 17, 2026

Search Tags:#fact-checking #AI verification #content accuracy #source checking #verification pipeline

Ready to run

npx skills add https://github.com/CompSci-Squad/tcc_ai --skill doublecheck-compsci-squad

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: doublecheck
Source: https://github.com/CompSci-Squad/tcc_ai/tree/main/.github/skills/doublecheck
Command: npx skills add https://github.com/CompSci-Squad/tcc_ai --skill doublecheck-compsci-squad

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill ensures the accuracy of AI-generated content by applying a comprehensive verification process.

Core Features & Use Cases

Claim Extraction: Identifies verifiable claims within AI-generated text.
Source Verification: Searches for supporting or contradicting sources via web search.
Adversarial Review: Checks for hallucination patterns and inconsistencies.
Verification Report: Produces a structured report with source links for human review.
Use Case: When you need to verify the accuracy of an AI-generated analysis or report.

Quick Start

Run the doublecheck skill on the text you want to verify.

Frequently Asked Questions about doublecheck

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

FAQPage Schema

How do I verify the factual accuracy of AI-generated content?▼

To verify AI-generated content, the doublecheck skill extracts verifiable claims, searches the web for supporting sources, and conducts adversarial review to detect hallucinations, outputting a structured report.

What is the best way to check AI text for hallucinations and inconsistencies?▼

Checking AI text for hallucinations requires an adversarial review process that cross-references extracted claims against web sources, identifying factual inconsistencies and generating a verification report with source links.

How do I extract verifiable claims from an AI-generated report for source checking?▼

Extracting verifiable claims from AI reports involves parsing the text to isolate factual statements, which are then automatically queried against web sources to confirm content accuracy and flag unsupported information.

Does fact-checking AI output require web search capabilities?▼

Fact-checking AI output requires web search capabilities to perform source verification, enabling the pipeline to find supporting or contradicting evidence for extracted claims during the adversarial review.

Can I use automated verification pipelines for professional content accuracy audits?▼

Automated verification pipelines support professional content accuracy audits by generating structured reports with source links, allowing human reviewers to trace the validation of AI-generated analysis efficiently.

What are the limitations of automated source checking for AI-generated text?▼

Limitations of automated source checking include dependency on web search availability and the need for human review of the structured report, as adversarial review may not catch all nuanced contextual hallucinations.