Jevotron: Multiple Jev integrations from the command line
Jevotron is a command-line tool that enables one-shot anomaly detection on various data files using TypeSafe's API. It provides field-level anomaly scores, a focused review queue, and a caching mechanism to optimize subsequent runs. The tool supports multiple data formats and offers features like previewing model requests and reusing assessments for unchanged inputs.
- ▪Users must set a TypeSafe API key in their shell to run scans, though the preview command does not require authentication.
- ▪The tool supports CSV, YAML, JSON, TOML, text, and OBO formats, including gzip-compressed files, with customizable field selection and guidance options.
- ▪Jevotron uses SQLite to cache successful results, allowing users to resume failed runs or change thresholds without reassessing unchanged entries.
- ▪In a pilot test on 24 public agent traces, the tool matched 79.8% of step-quality labels with 89.7% precision for harmful steps.
- ▪Reports include detailed evidence such as field probabilities, entry scores, source locations, and assessment dates to aid in manual review.
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Record
| Original publisher | Github |
| Canonical URL | https://cmungall.github.io/jevotron/ |
| Publication time | Thu, 01 Oct 2026 02:12:38 +0000 |
| Retrieval time | 2026-10-01T03:07:06.181Z |
| Last seen | 2026-10-01T03:07:06.181Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | AVJ-pvanBxY5 · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
One-shot anomaly detection on the command line¶ Give jevotron a file and a little guidance. Get field-level anomaly scores, a focused review queue, and a cache that makes the next run cheaper. Run your first scan Explore the commands Install agent skills jevotron / airports.csv $ jevotron scan airports.csv --guidance "Check airport locations." First, set your API key Get a key from the TypeSafe dashboard and set it in your shell: export TYPESAFE_API_KEY="your-api-key" Already set? You're ready to scan. preview needs no key. API key setup → · See the actual airport results → 01 / PREVIEW See what goes in¶ Inspect chunks, field paths, and exact model requests before making an API call. Preview a file → 02 / SCAN Assess every entry¶ Jev scores selected fields together.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Github.