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Simulate Anomaly Detection and Report Generation
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Linked challenge: MCP Edge AI for Satellite Data Fusion
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Linked challenge
MCP Edge AI for Satellite Data Fusion
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Original prompt text with formatting preserved for inspection.
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Set up a test scenario with a dataset containing simulated anomalies across satellite telemetry, imagery captions, and ground news. Run your MCP-enabled edge agent and generate a fused intelligence report for each anomaly, ensuring the output adheres to the specified JSON format and includes LLM token usage.
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.