Fact Checker

The Fact Checker skill enables AI agents to verify information, cross-reference data sources, and identify inconsistencies within provided text or datasets. It acts as a validation layer, ensuring that generated answers align with established facts before being presented to the user.

When to use it

• Before finalizing reports that rely on external statistics or historical events.
• When an AI agent generates content based on potentially hallucinated or outdated training data.
• To validate claims made in customer support tickets against internal documentation.
• During the research phase of coding tasks to ensure referenced libraries or APIs are current.

Key capabilities

• Cross-references multiple data points to confirm accuracy.
• Identifies logical inconsistencies or contradictions within a text.
• Flags unverified claims that lack supporting evidence.
• Provides structured feedback on the reliability of source material.

Example prompts

• "Fact-check this summary of the 2023 climate report against the original PDF."
• "Verify if the API endpoints listed in this code snippet are still active and documented."
• "Identify any factual errors or hallucinations in the following marketing email draft."

Tips & gotchas

Ensure you provide the AI agent with access to the specific source documents or datasets you want it to verify against, as it cannot browse the live web without explicit tooling. This skill is most effective when used iteratively; run a fact-check pass after the initial generation of complex content.