chain-of-verification

Generate initial answers and verify claims through structured verification questions.

147|31|Updated Oct 17, 2025
One-click install
npx skills add https://github.com/serpro69/claude-toolbox --skill chain-of-verification-serpro69
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chain-of-verification
Source: https://github.com/serpro69/claude-toolbox/tree/main/kodex-plugin/skills/chain-of-verification
Command: npx skills add https://github.com/serpro69/claude-toolbox --skill chain-of-verification-serpro69

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This tool-chain prompts the model to generate an initial answer and then verify its claims through structured questions and isolated sub-agent checks, improving reliability in domains requiring precision and multi-step reasoning.

Core Features & Use Cases

  • Generates an initial answer for a user question and identifies potential uncertainty.
  • Formulates targeted verification questions (3–5) to probe the initial answer without external sources.
  • Performs isolated verification with sub-agents to avoid cross-contamination and ensures independent validation.
  • Reconciles verification results to produce a corrected, verified final answer with transparent uncertainties.
  • Supports Standard and Isolated verification modes, plus flag-driven sub-agent customization for specialized tasks.

Quick Start

Invoke the CoVe workflow on a user question to generate an initial answer, then run the verification step to confirm accuracy.

Frequently Asked Questions about chain-of-verification

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

FAQPage Schema
How does self-verification improve accuracy for multi-step reasoning in LLMs?

Self-verification improves accuracy by generating an initial answer, formulating verification questions, and reconciling isolated checks to correct factual inconsistencies. This structured workflow systematically validates claims without relying on external sources.

How do I use chain-of-verification to fact-check technical explanations or code analysis?

Invoke the chain-of-verification workflow on your query to generate an initial answer, then run the verification step to independently confirm accuracy. It formulates targeted questions and reconciles results into a corrected final answer.

Can I use sub-agents for isolated verification to avoid cross-contamination?

Yes, Isolated verification mode uses sub-agents to independently validate claims and avoid cross-contamination. You can apply flag-driven sub-agent customization to handle specialized verification tasks for your specific domain.

What's the difference between Standard and Isolated verification modes?

Standard mode verifies claims within the main workflow, while Isolated mode uses sub-agents to independently validate verification questions and avoid cross-contamination. Both modes reconcile results to produce a corrected final answer with transparent uncertainties.

When should I avoid using chain-of-verification prompting?

Avoid using chain-of-verification for simple queries that do not require multi-step reasoning or strict factual consistency. The structured workflow of generating verification questions and reconciling isolated checks introduces overhead unsuitable for straightforward tasks.