Jevotron: Multiple Jev integrations from the command line

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Summary

Jevotron is a command-line tool that provides multiple Jev integrations for one-shot anomaly detection on files like CSV, YAML, JSON, and OBO, caching assessments in SQLite and exporting review reports with visible probabilities and evidence.

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# One-shot anomaly detection on the command line¶ Source: [https://cmungall.github.io/jevotron/](https://cmungall.github.io/jevotron/) jevotron / airports\.csv ``` $ jevotron scan airports.csv --guidance "Check airport locations." ``` 01 / PREVIEW ### See what goes in[¶](https://cmungall.github.io/jevotron/#see-what-goes-in) Inspect chunks, field paths, and exact model requests before making an API call\. [Preview a file →](https://cmungall.github.io/jevotron/quickstart/#preview-the-input) 02 / SCAN ### Assess every entry[¶](https://cmungall.github.io/jevotron/#assess-every-entry) Jev scores selected fields together\. Each entry gets the same guidance and optional examples\. [Choose your fields →](https://cmungall.github.io/jevotron/guides/files/) 03 / REVIEW ### Start with the warnings[¶](https://cmungall.github.io/jevotron/#start-with-the-warnings) Sort suspicious entries, export CSV, or pipe JSONL into your existing shell workflow\. [Build a review queue →](https://cmungall.github.io/jevotron/guides/reports/) ## Small setup\. Useful defaults\.[¶](https://cmungall.github.io/jevotron/#small-setup-useful-defaults) **CSV, YAML, JSON, TOML, text, OBO, and more**work out of the box, including gzip files\. The[format reference](https://cmungall.github.io/jevotron/reference/formats/)covers defaults and format\-specific options\. Select fields with`\-\-field`, add a sentence with`\-\-guidance`, and run\. Longer instructions can come from`\-\-guidance\-file`\. A local Python config is available when a project needs custom parsing or reusable settings\. **Unchanged input reuses its assessment\.**SQLite saves each successful result as it arrives\. Reorder a file, change a reporting threshold, or resume a failed run without reassessing unchanged entries\. **A review aid with visible evidence\.**Reports retain each field's probabilities, the entry score, source location, and assessment date\. The warning score is the highest field anomaly probability; you choose the threshold\. ## Try a complete example[¶](https://cmungall.github.io/jevotron/#try-a-complete-example) ExampleWhat you'll do[Airports / CSV](https://cmungall.github.io/jevotron/examples/airports/)Find two injected country errors in public data, then compare versions\.[Inventory / YAML](https://cmungall.github.io/jevotron/examples/inventory/)Apply written rules and a chosen exemplar to stock records\.[Measurement units / OBO](https://cmungall.github.io/jevotron/examples/obo/)Score definitions and repeated synonyms within independent stanzas\.[Agent traces / JSONL](https://cmungall.github.io/jevotron/examples/agent-traces/)Classify public agent traces and individual steps, then compare with published labels\.### Agent traces: a measured pilot[¶](https://cmungall.github.io/jevotron/#agent-traces-a-measured-pilot) On a small, length\-filtered sample of**24 public traces**, jt matched**130 of 163 step\-quality labels \(79\.8%\)**\. Harmful\-step precision was**89\.7%**, with**70\.3% recall**\. The example uses original messages and tool definitions, with human labels withheld from the model\. [Try the trace example →](https://cmungall.github.io/jevotron/examples/agent-traces/)·[Read the full analysis and limitations →](https://cmungall.github.io/jevotron/analysis/agent-traces/)

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