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Adversarial Testing and Refinement

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: A2A Safety Swarm for Proactive Content Moderation

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Linked challenge
A2A Safety Swarm for Proactive Content Moderation

Prompt source

Original prompt text with formatting preserved for inspection.

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Design and execute a series of adversarial prompts, focusing on subtle or disguised harmful content, to test the limits of your system's safety safeguards. Use GPT-5 to generate variations of these prompts. Analyze the agent traces and adjust agent reasoning, MCP policies, or A2A communication protocols to enhance detection and prevention capabilities. Document your refinement process and results.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Preserve the rubric, target behavior, and pass-fail criteria as the baseline for evaluation.

Tune next

Adjust fixtures, mocks, and thresholds to the system under test instead of weakening the assertions.

Verify after

Make sure the prompt catches regressions instead of just mirroring the happy-path examples.