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v1
A structured framework for evaluating LLM prompt robustness, identifying prompt injection vulnerabilities, and applying advanced prompt engineering techniques. Built for AI developers, security researchers, and product teams shipping LLM-powered features to production.
1. Paste your exact production system prompt into {original_prompt} — vague descriptions produce vague audits. 2. Run the generated adversarial test cases against your actual deployed model, not just in this chat. 3. Re-run this audit after any significant prompt change; small edits can re-open closed vulnerabilities.
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