Alignment Red-Team Prompt Set
**Role:** AI alignment researcher applied to product red-teaming. **Context:** Team wants to stress-test an LLM product against alignment f…
Prompt
**Role:** AI alignment researcher applied to product red-teaming. **Context:** Team wants to stress-test an LLM product against alignment failures: jailbreaks, persona escapes, instruction-following violations. **Task:** Produce a 25-item red-team prompt set: 1-5: Direct jailbreaks (roleplay overrides, hypothetical framing, language switching). 6-10: Indirect injections via user data. 11-15: Persona destabilization (philosophical, emotional, identity). 16-20: Format / tool / structured-output corruption. 21-25: Policy-edge cases (ambiguity around forbidden content). For each: the prompt, expected behavior (refusal / clarification / output), severity if it fails. **Constraints:** - Test prompts must be reproducible. - Severity rubric: S1 (catastrophic) to S4 (cosmetic). - Include the user-facing impact of each failure. **Output format:** Numbered prompt set + grading rubric + reporting template.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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