ahvs

Verify factual statements and trend claims across official sources, web data, and historical analysis.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/pokibao/claude-skills-ai-quality --skill ahvs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ahvs
Source: https://github.com/pokibao/claude-skills-ai-quality/tree/main/ahvs
Command: npx skills add https://github.com/pokibao/claude-skills-ai-quality --skill ahvs

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides rigorous verification of factual statements and trend analyses, reducing misinformation and boosting decision accuracy.

Core Features & Use Cases

  • Static Fact Verification: Cross-checks statements against multiple data sources such as official documents, web searches, and code validation to determine correctness.
  • Temporal Causal Reasoning: Analyzes recent and historical trends to assess whether current claims are supported or refuted by data and patterns.
  • Use Case: A finance manager verifying the current market trend of a stock can rely on this Skill to combine official reports, web data, and historical trend analysis, providing a confidence level for decision-making.

Quick Start

Ask the AI to verify a claim about stock performance or a policy update using this Skill's guided prompt structure.

Frequently Asked Questions about ahvs

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

FAQPage Schema
How do I verify factual claims using multi-source data and causal reasoning?

You verify factual claims by cross-checking statements against official documents, web data, and historical trend analysis to determine correctness. This process assesses whether current claims are supported or refuted using multi-source data and causal reasoning.

How does temporal causal reasoning work for trend analysis?

Temporal causal reasoning analyzes recent and historical data patterns to assess whether current trend claims are supported or refuted. It combines historical analysis with current data to validate financial or policy trend claims over time.

Can I use this approach to validate financial trend claims and stock performance?

Yes, you can validate financial trend claims by combining official reports, web data, and historical trend analysis. This method provides a confidence level for decision-making regarding stock performance and market trends.

What is the best way to perform fact checking on policy updates?

The best way to perform fact checking on policy updates is using a guided prompt structure to combine official data fetches with web searches. This multi-source validation reduces misinformation and boosts decision accuracy.

Do I need web search and official data fetch modules for static fact verification?

Yes, static fact verification requires web search, official data fetch, and code validation modules to cross-check statements. These modules enable comprehensive validation across multiple data sources to determine correctness.

What are the limitations of using multi-source verification for disinformation detection?

Multi-source verification depends on the availability and accessibility of official documents and web data. While it reduces misinformation, its limitation is the need for high confidence validation modules and comprehensive historical data to assess complex claims.