jevbooks

← All projects

jevcore

catherinestavrou94306/jevcore · Homepage

TypeSafe Jev for DeepSeek Harness and MCP: typed judgments, offline by default.

Automated README summary

Automatically summarized from the README on 19 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

jevcore gives agents a typed decision surface over Jev, a System One model that answers noul, choice and score questions with calibrated probabilities instead of prose. It ships as a core library plus DSH and MCP adapters.

How it uses Jev

Jev answers typed questions (noul, choice, score) over a supplied state, returning calibrated probabilities. The DSH plugin exposes three tools and two opt-in gates; the MCP server exposes the same three tools over stdio. Results feed the agent's decisions; undecided resolves through explicit config, defaulting to ask.

Primitives:choicescorenoul

Technique worth stealing

Keep all decision logic in core so thin adapters cannot drift from the egress contract, offline default, and disabled-gate guarantees.

Try it

Add the DSH plugin via dsh plugin --profile add, or run npx -y jevcore-mcp for MCP hosts.

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 material0.94
  • Shows a System One patternnot found in the excerpt0.22
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.88
  • Top-10 learning shortlist signalnot found in the excerpt0.35
  • Is a replica of the modelnot found in the excerpt0.15
  • Solves a common problem (0–2)score on a 0–2 scale1.04 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.94Shows a System One pattern0.22Describes handling uncertainty0.06Reports measured numbers0.04Is a runnable tool0.88Top-10 learning shortlist signal0.35Is a replica of the model0.1500.51Solves a common problem (0–2)1.04 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.97Traffic light0.92Grey zone0.60Funnel0.59Inspection0.54Viewfinder0.3200.51

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 19 Oct 2026.