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dsh-decision

tsangkingyiu/dsh-decision

DeepSeek Harness plugin exposing Clef/Jev System One decisions as a tool.

Agent Decisions0.36Runner-up: Infra / SDKs / IntegrationsQuestionnaire
Automated README summary

Automatically summarized from the README on 30 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A DeepSeek Harness plugin that gives the chat model a typed-judgment tool, decision_ask, backed by a System One decision model. It is for Harness users who want calibrated noul/choice/score answers instead of prompting-and-parsing prose.

How it uses Jev

The model calls decision_ask with a state (string, object, or array) and questions keyed by id (noul, choice, or score). The plugin routes to Clef or Jev per configuration or per-call provider override, and returns {provider, model, answers, usage} with answers keyed by question id.

Primitives:noulchoicescore

Technique worth stealing

Provider routing as hot-reloadable configuration, with per-call override, so the same request shape can switch between local Clef and hosted Jev.

Try it

Install into a dsh profile, configure decision.defaultProvider and providers, then restart dsh-web.

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-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

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 excerpt0.08
  • Shows a System One patternnot found in the excerpt0.09
  • Describes handling uncertaintynot found in the excerpt0.03
  • Reports measured numbersnot found in the excerpt0.02
  • Is a runnable toolFound in material0.98
  • Top-10 learning shortlist signalnot found in the excerpt0.19
  • Is a replica of the modelnot found in the excerpt0.08
  • Solves a common problem (0–2)score on a 0–2 scale1.03 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.08Shows a System One pattern0.09Describes handling uncertainty0.03Reports measured numbers0.02Is a runnable tool0.98Top-10 learning shortlist signal0.19Is a replica of the model0.0800.51Solves a common problem (0–2)1.03 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.8100.51

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 30 Oct 2026.