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Jevotron is a command-line tool that performs one-shot anomaly detection on various file formats (CSV, JSON, YAML, etc.) by scoring fields based on user-provided guidance. Users can preview data before scanning, receive field-level anomaly scores with a sortable review queue, and reuse cached results to reduce costs on subsequent runs. The tool demonstrated 79.8% accuracy on a pilot test using agent traces, with strong precision (89.7%) for identifying harmful steps.
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