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Anomaly Detection

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Jevotron launches CLI tool for anomaly detection across file formats

Jevotron is a new command-line tool that scans files such as CSV, YAML, JSON, TOML and OBO for anomalies, producing field-level probability scores and a review queue. The tool caches results in SQLite so unchanged entries aren't reassessed on subsequent runs, and users can guide scans with text instructions or a local Python config. A pilot test on 24 public agent traces reported the tool matched 130 of 163 step-quality labels (79.8% accuracy), with 89.7% precision and 70.3% recall for identifying harmful steps.