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dsh-judgment

j62268781-alt/dsh-judgment

Batched calibrated probability judgments for DeepSeek Harness agents.

Automated README summary

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

What it is

A DeepSeek Harness plugin exposing ctx.judgment: send one state plus a batch of named questions and receive calibrated probability answers from TypeSafe Jev, Luna, or compatible endpoints. It judges; the consuming agent decides.

How it uses Jev

Consumers call judge.ask(state, questions, {purpose}) with choice, score, or noul questions. Jev returns full distributions, argmax option, or expected level value; results include fingerprint, usage, provider, and model snapshot. Strict validation rejects invalid responses with typed JudgmentError details.

Primitives:choicescorenoul

Technique worth stealing

Batch all questions against one state per call; keep candidate counts low (≤16) because models under-normalize with many options.

Try it

dsh plugin --profile add dsh-judgment@0.1.0, restart DSH, configure in 设置 → 决策.

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 projectnot found in the excerpt0.20
  • Shows a System One patternFound in material0.86
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.91
  • Top-10 learning shortlist signalnot found in the excerpt0.36
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.03 / 2
  • About JevFound in material0.95
Signals
Jev is core to the project0.20Shows a System One pattern0.86Describes handling uncertainty0.06Reports measured numbers0.04Is a runnable tool0.91Top-10 learning shortlist signal0.36Is a replica of the model0.0400.51Solves a common problem (0–2)1.03 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.98Inspection0.97Blind review0.76Fail open, fail closed0.35Flight recorder0.31Ghostwriter0.2200.51

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 Oct 2026.