doublecheck

Verify claims in AI outputs and surface credible sources.

Updated Mar 18, 2026

Search Tags:#verification #risk-assessment #hallucination #sources #claims #verification-report #ai-output

Ready to run

npx skills add https://github.com/angryconsultant/Copilot-CLI --skill doublecheck

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: doublecheck
Source: https://github.com/angryconsultant/Copilot-CLI/tree/main/skills/doublecheck
Command: npx skills add https://github.com/angryconsultant/Copilot-CLI --skill doublecheck

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Doublecheck provides an automated, structured verification workflow for AI-generated content, extracting verifiable claims and surfacing sources to support human review.

Core Features & Use Cases

Inline verification of responses with configurable depth.
Layered verification with self-audit, source verification, and adversarial review.
Use Case: When generating factual content, you can enable doublecheck to surface citations and flag potential hallucinations for review.

Quick Start

Say 'activate doublecheck' to enable inline verification on your next response.

Frequently Asked Questions about doublecheck

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

FAQPage Schema

How do I verify AI outputs for hallucinations and surface credible sources?▼

To verify AI outputs for hallucinations, you can activate an inline verification process that extracts verifiable claims and surfaces credible sources. This runs a three-layer pipeline including self-audit, source verification, and adversarial review to flag potential inaccuracies.

What is the best way to add inline verification to factual content generation?▼

The best way to add inline verification is using a persistent mode that automatically applies a structured workflow to your responses. It extracts verifiable claims and outputs an inline verification section or a full three-layer report alongside the generated content.

Can I run a one-time risk assessment on a specific AI response?▼

Yes, you can run a one-time risk assessment using one-shot verification mode. This allows you to detect and flag potential hallucinations across diverse domains for a single response without keeping the verification process persistently active.

How does the three-layer verification pipeline work for claim checking?▼

The three-layer verification pipeline works by first running a self-audit of the AI output, then performing source verification to find credible citations, and finally applying an adversarial review to challenge and flag potential hallucinations.

Do I need any external dependencies to generate an AI verification report?▼

No external dependencies are required to generate an AI verification report. The process operates independently using a built-in verification template to extract claims, surface sources, and structure the final output.