jevbooks

← All projects

jev-pii-checker

coo-quack/jev-pii-checker · Homepage

CLI that finds PII in text using TypeSafe Jev, regex, and segmentation.

Compliance & Legal0.58Runner-up: Verification & GuardrailsFunnel
Automated README summary

Automatically summarized from the README on 7 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A CLI for scanning text and files for PII. It uses TypeSafe's Jev model, regex patterns, and word segmentation to detect categories, sensitivity levels, and located spans. Outputs JSON or human-readable tables.

How it uses Jev

Jev is queried for 13 PII category Nouls (e.g., person name, email/phone) and a 3-level sensitivity score. The gate uses Jev probabilities to decide presence; name candidates from segmentation are judged by Jev to assemble spans. Results drive output and exit codes.

Primitives:choicescorenoul

Technique worth stealing

Three-layer detection: Jev gate for categories and sensitivity, regex for extraction, segmentation for name candidates.

Try it

bunx @coo-quack/jev-pii-checker report.txt --json (requires TYPESAFE_API_KEY)

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectunclear0.54
  • Shows a System One patternnot found in the excerpt0.07
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalnot found in the excerpt0.30
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.87 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.54Shows a System One pattern0.07Describes handling uncertainty0.06Reports measured numbers0.05Is a runnable tool0.96Top-10 learning shortlist signal0.30Is a replica of the model0.0300.51Solves a common problem (0–2)1.87 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.78Traffic light0.50Check-up0.3600.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 7 Oct 2026.