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We introduce \\textbf{RW-Post}, a post-aligned \\textbf{text--image benchmark} for real-world multimodal fact-checking with \\emph{auditable} annotations: each instance links the original social-media post with reasoning traces and explicitly linked evidence items derived from human fact-check articles via an LLM-assisted extraction-and-auditing pipeline. RW-Post supports controlled evaluation across closed-book, evidence-bounded, and open-web regimes, enabling systematic diagnosis of visual grounding and evidence utilization. We provide \\textbf{AgentFact} as a reference verification baseline and benchmark strong open-source LVLMs under unified protocols. 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