doublecheck

Extract verifiable claims from AI-generated text and produce structured verification reports.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/ImaginerLabs/skill-manager --skill doublecheck-imaginerlabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: doublecheck
Source: https://github.com/ImaginerLabs/skill-manager/tree/main/skills/coding/doublecheck
Command: npx skills add https://github.com/ImaginerLabs/skill-manager --skill doublecheck-imaginerlabs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Three-layer verification of AI-generated output: it extracts verifiable claims, locates supporting or contradicting sources via web search, and runs adversarial review to flag hallucination patterns, delivering a structured verification report for human review.

Core Features & Use Cases

  • Extract verifiable claims from AI outputs and assign stable IDs for tracking.
  • Retrieve and assess supporting sources through automated web searches and source evaluation.
  • Perform adversarial review to detect hallucination patterns, inconsistencies, and risky claims.
  • Produce a structured verification report (and inline verification when activated) to guide risk assessment and decision-making.

Quick Start

Provide the text you want verified and I'll run the multi-layer verification to generate a detailed report.

Frequently Asked Questions about doublecheck

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

FAQPage Schema
How do I verify claims in AI-generated text for hallucinations?

To verify AI-generated text, this Skill extracts verifiable claims, locates supporting or contradicting sources via web search, and runs adversarial review to flag hallucination patterns. It delivers a structured verification report for human review.

What is the three-layer verification process for AI outputs?

Three-layer verification applies self-audit, source verification, and adversarial review to provided text. It identifies verifiable claims, assigns stable IDs for tracking, and produces a structured report to guide risk assessment and decision-making.

How do I run inline verification on AI outputs?

Provide the text you want verified and the Skill runs multi-layer verification to generate a detailed report. It operates in inline verification mode by default, extracting claims and returning mapped IDs within the text.

Can I extract and track specific claims from AI-generated content?

Yes, the Skill extracts verifiable claims from AI outputs and assigns stable IDs for tracking. This allows you to map specific statements to their sources and review them individually in the structured verification report.

Does AI output verification detect risky claims and inconsistencies?

Yes, the adversarial review layer detects hallucination patterns, inconsistencies, and risky claims. It assesses retrieved supporting sources through automated web searches to flag potential issues in the AI-generated text.

What are the limitations of automated source verification for AI text?

Automated source verification retrieves and assesses supporting sources via web search but requires human review of the final structured report. It flags hallucination patterns and risky claims to guide risk assessment, but does not replace human decision-making.