How to Use the Prompt Hallucination Risk Auditor
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1
Paste any prompt, system directive, or user query into the scanner.
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2
Click "Audit Prompt" to evaluate grounding checks, rejection clauses, and premise traps.
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3
Review the Hallucination Risk Score (0–100%) and specific diagnostic failure points.
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4
Click "Auto-Fix & Ground" to inject bulletproof boundary clauses that prevent fabrication.
Practical Example & Use Case
Auditing an open-ended research question that unintentionally leads the model into inventing phantom events, and automatically injecting citation boundaries and rejection protocols.
Technical Notes & Limitations
Evaluates prompt heuristics and cognitive bias triggers. Does not verify external real-world factual claims.
Frequently Asked Questions
What causes large language models to hallucinate?
LLMs predict statistically likely token sequences. When prompts lack explicit bounds, demand answers to unanswerable questions, or contain leading false premises, models fabricate plausible-sounding answers.
What is a rejection clause in prompt engineering?
A rejection clause explicitly instructs the model: "If the requested information cannot be verified with 100% confidence, state that you do not know rather than guessing."
How does this tool help ground prompts?
The 1-Click Auto-Fix feature appends source verification mandates, evidence citation rules, and premise checks directly to your prompt text.