Agent Fact Check Verify

This skill addresses the pain point of users struggling to quickly and objectively verify the authenticity of online information in the era of information overload. Whether it's rumors on social media, news flashes, or questionable data encountered in work or study, users often spend significant time cross-referencing various sources and are prone to subjective bias. This skill automates the process by integrating multiple authoritative and public sources, providing users with a neutral and efficient verification tool.

Usage is simple: you just need to make a request in the AI conversation, such as "Verify if this claim is true" or "Fact-check this news." The skill will then automatically deconstruct your query, gather information from sources like government sites, official media, fact-checking websites, X (Twitter), and Reddit based on a preset search strategy (prioritizing Tavily with fallback when necessary), and assess credibility using internal scoring rules. Finally, it presents the consolidated verification conclusion in a fixed four-part format (Correctness, Actual Situation, Conclusion, Relevant Links), with the entire process requiring no user intervention.

It is well-suited for teams or individuals who handle large volumes of external information and have high requirements for accuracy. This is especially true for content creators, social media managers, academic researchers, journalists, and any professional who needs to make decisions based on facts. For practitioners needing to quickly verify market rumors, competitor activities, or industry reports, this skill can significantly improve information screening efficiency and reduce the risk of being misled.

It is recommended to use this tool uniformly when you need to quickly fact-check public statements, news reports, or social media posts online. Note that it primarily verifies based on publicly available information and cannot cover non-public or paywalled content. In high-risk areas such as public safety, healthcare, and financial fraud, its assessments are more stringent, and users should still combine it with professional judgment.