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jev-judgment

HyunjunJeon/jev-judgment

Send closed coding-agent judgments to TypeSafe Jev

Agent Decisions0.64Runner-up: Evaluation & BenchmarkingQuestionnaireFail open, fail closed
Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An Agent Skill for coding agents that sends closed judgments to TypeSafe Jev and acts on the returned probabilities, so the main coding model keeps writing code and interrupts the user only when a person must decide.

How it uses Jev

Jev is called at three points: before asking the user a closed question, before a command that may destroy data, leak secrets, or reach beyond the task, and after a command fails. The bundled scripts/jev.py posts {state, questions} to the TypeSafe API and uses the probabilities to proceed or ask.

Primitives:choicescorenoul

Technique worth stealing

Keep the main coding model writing code while a separate typed judgment model answers closed questions.

Try it

npx skills add HyunjunJeon/jev-judgment, then set 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 projectFound in material0.92
  • Shows a System One patternFound in material0.79
  • Describes handling uncertaintynot found in the excerpt0.13
  • Reports measured numbersnot found in the excerpt0.32
  • Is a runnable toolFound in material0.97
  • Top-10 learning shortlist signalnot found in the excerpt0.39
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.38 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.92Shows a System One pattern0.79Describes handling uncertainty0.13Reports measured numbers0.32Is a runnable tool0.97Top-10 learning shortlist signal0.39Is a replica of the model0.0300.51Solves a common problem (0–2)1.38 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.77Fail open, fail closed0.75Ghostwriter0.28Funnel0.27Traffic light0.2000.51

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 20 Sept 2026.