How does Fact Checker verify information?

It uses integrated web search capabilities to cross-reference document claims against official manufacturer documentation, API guides, and authoritative announcement pages.

Will it change my files automatically?

No, the skill generates a detailed report of findings first and requires explicit user approval before applying any modifications to your documents.

What kind of claims can it check?

It is optimized for technical specifications, version numbers, release dates, benchmark data, and statistical metrics rather than subjective opinions.

Does it support verification for specific AI models?

Yes, it includes specialized search strategies for major AI providers including Anthropic, OpenAI, and Google to ensure model specs are current.

Can it handle large documents?

Yes, the skill systematically scans documents to extract verifiable statements and processes them through a structured 5-step validation workflow.

Fact Checker

Name: Fact Checker
Author: daymade

bydaymade

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384

Content Management

Verifies technical specifications, statistical data, and factual claims in documents using authoritative web sources and official documentation.

About

The Fact Checker skill provides a rigorous framework for validating factual accuracy within your technical documentation and project files. By scanning for verifiable claims—such as AI model specifications, version numbers, and benchmark data—it performs real-time searches across official manufacturer pages and developer guides to ensure information remains current. It generates a detailed correction report with status codes and citations, allowing you to update outdated or incorrect content safely through an interactive approval process.

Key Features

Structured comparison tables with authoritative source citations
Real-time verification against official product documentation and API guides
Automated identification of verifiable claims and technical specifications
Interactive update workflow with user-confirmed document modifications
Detailed correction reports including rationales and suggested edits
384 GitHub stars

Use Cases

Validating software version numbers and library dependencies in project READMEs
Updating technical documentation with the latest AI model context windows and pricing
Fact-checking statistical data or benchmark results in research summaries before publication

About

Key Features

Structured comparison tables with authoritative source citations
Real-time verification against official product documentation and API guides
Automated identification of verifiable claims and technical specifications
Interactive update workflow with user-confirmed document modifications
Detailed correction reports including rationales and suggested edits
384 GitHub stars

Use Cases

Validating software version numbers and library dependencies in project READMEs
Updating technical documentation with the latest AI model context windows and pricing
Fact-checking statistical data or benchmark results in research summaries before publication