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testing

Testing and Reporting Module Development

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

Linked challenge: MCP-Enabled AI for Luxury Authenticity on TikTok Shop

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Linked challenge
MCP-Enabled AI for Luxury Authenticity on TikTok Shop

Prompt source

Original prompt text with formatting preserved for inspection.

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Develop a testing module that simulates various input scenarios (authentic, subtle counterfeit, obvious counterfeit). Implement the final reporting mechanism that generates a detailed, human-readable authenticity report, including a confidence score, evidence, and any detected issues, referencing the trace data obtained via MCP tools.

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.