What is the Lutum Veritas inspiration for this skill?

Lutum Veritas is a research methodology that prioritizes 'truth over confidence' by using recursive context, self-verification of claims, and dual-scraping phases to ensure facts are cross-referenced.

How long does a deep research task typically take?

A 'Quick Verify' takes approximately 60-90 seconds, while a comprehensive 'Deep Research' report can take between 5 to 15 minutes depending on the complexity of the topic.

How does the claim audit feature improve accuracy?

The claim audit specifically searches for contradictory evidence and 'myths' related to an initial finding, forcing the model to reflect on potential errors before presenting a final answer.

What tools are required for this skill to function?

This skill utilizes search and synthesis tools including Perplexity (Ask and Deep Research) and Kagi Search to gather and verify information from a wide variety of web sources.

Deep Research & Verification

Name: Deep Research & Verification
Author: Microck

byMicrock

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학습 및 문서화

Conducts multi-stage, verified research with recursive claim auditing and source transparency inspired by the Lutum Veritas framework.

The Deep Research skill transforms Claude into a sophisticated investigative agent that prioritizes accuracy and source integrity. By implementing a multi-stage pipeline, it performs recursive context passing and rigorous claim audits to identify contradictions and verify facts across multiple search providers like Perplexity and Kagi. Whether you need a rapid verification of a single fact or a comprehensive 15-minute deep-dive report, this skill ensures every finding is graded for quality and every assertion is backed by cross-referenced evidence, significantly reducing the risk of AI hallucinations.

주요 기능

01Automated Claim Audits that actively search for contradictory evidence to ensure factual accuracy.

02Recursive context passing that allows subsequent research stages to build upon previous discoveries.

032 GitHub stars

04Integrated multi-tool orchestration using Perplexity and Kagi for high-coverage information gathering.

05Dual-mode operation featuring 'Quick Verify' for fast answers and 'Deep Research' for comprehensive reports.

06Source Quality Grading that categorizes references from academic-level reliability to general web content.

사용 사례

01Verifying complex technical claims or architectural patterns against current industry documentation.

02Fact-checking sensitive data or news to provide a nuanced view of conflicting information.

03Generating deep-dive market or competitive analysis reports with cited, verified sources.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/opendots-microck deep-research

For use in Claude.ai and ChatGPT

주요 기능

01Automated Claim Audits that actively search for contradictory evidence to ensure factual accuracy.

02Recursive context passing that allows subsequent research stages to build upon previous discoveries.

032 GitHub stars

04Integrated multi-tool orchestration using Perplexity and Kagi for high-coverage information gathering.

05Dual-mode operation featuring 'Quick Verify' for fast answers and 'Deep Research' for comprehensive reports.

06Source Quality Grading that categorizes references from academic-level reliability to general web content.

사용 사례

01Verifying complex technical claims or architectural patterns against current industry documentation.

02Fact-checking sensitive data or news to provide a nuanced view of conflicting information.

03Generating deep-dive market or competitive analysis reports with cited, verified sources.