What problem does it solve?
This skill reduces uncertainty and misinformation by turning complex statements or documents into discrete, verifiable claims and producing evidence-backed verdicts with clear confidence scores and justification.
Core Features & Use Cases
- Claim Extraction: Breaks text into individual, checkable assertions and flags subjective or non-falsifiable content as "not checkable".
- Source Identification & Cross-Referencing: Locates primary and reputable secondary sources, checks multiple independent references, and evaluates credibility.
- Verdicts with Confidence: Assigns standardized verdicts (True, Mostly True, Half True, Mostly False, False, Unverifiable) and a 0.0–1.0 confidence score with concise reasoning and source links.
- Use Case: Fact-check news articles, technical blog posts, policy statements, or statistical claims for journalism, research, and content moderation workflows.
Quick Start
Fact-check the following text and return a structured report listing each extracted claim, its verdict, a confidence score, supporting evidence, and source links.