How does the skill verify information?

It uses a claim validation matrix to compare evidence across academic, official, and news sources, assigning confidence levels based on the strength of the consensus found.

What tools does this skill utilize?

It leverages WebSearch and WebFetch for real-time data retrieval, combined with Read, Grep, and Glob for analyzing both local files and fetched content.

What is the CRAAP test mentioned in the skill?

It is a standardized evaluation framework used to judge information based on Currency, Relevance, Authority, Accuracy, and Purpose, ensuring only high-quality data is used in the final report.

How does it handle conflicting information?

The skill identifies disagreements between sources, assesses their relative credibility scores, and presents a perspective map to help the user understand the nuances of the debate.

When should I trigger this skill?

Trigger this skill when you need to 'verify' a claim, 'fact-check' information, or 'investigate' a complex topic that requires seeing 'different perspectives' from multiple sources.

Multi-Source Investigation

Name: Multi-Source Investigation
Author: poemswe

bypoemswe

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Web Scraping & Data Collection

Conducts systematic, high-integrity research across diverse information sources with rigorous cross-validation and credibility scoring.

About

The Multi-Source Investigation skill empowers Claude Code to perform deep-dive research by looking beyond single sources and synthesizing information from academic, official, industrial, and journalistic origins. It utilizes a structured seven-phase framework—including the CRAAP test for credibility and a claim validation matrix—to verify facts, map conflicting perspectives, and provide a comprehensive report with certainty classifications. This skill is ideal for users who need to move past surface-level information to build a verified, well-rounded understanding of complex technical, regulatory, or domain-specific topics.

Key Features

4 GitHub stars
Standardized investigation reports with certainty classifications
Automated cross-validation of claims across multiple source types
Perspective mapping to identify and analyze conflicting viewpoints
Targeted search strategies for academic, official, and industry data
Rigorous credibility assessment using the CRAAP test framework

Use Cases

Verifying technical claims or benchmarking data across different providers
Investigating the impact of new regulations or standards on a codebase
Fact-checking diverse viewpoints for comprehensive documentation or white papers

About

Key Features

4 GitHub stars
Standardized investigation reports with certainty classifications
Automated cross-validation of claims across multiple source types
Perspective mapping to identify and analyze conflicting viewpoints
Targeted search strategies for academic, official, and industry data
Rigorous credibility assessment using the CRAAP test framework

Use Cases

Verifying technical claims or benchmarking data across different providers
Investigating the impact of new regulations or standards on a codebase
Fact-checking diverse viewpoints for comprehensive documentation or white papers