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jev-skill

wuyoscar/jev-skill

Jev demos, workflows and skills for coding agents.

Agent Decisions0.49Runner-up: Classification & RoutingGhostwriterFunnel
Automated README summary

Automatically summarized from the README on 18 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A curated catalogue of community projects, apps, local-model alternatives, agent skills and 108 example scenarios that use Jev, the TypeSafe AI "System One" model, for typed decisions. Aimed at developers building agents that need to choose, classify or score rather than generate text.

How it uses Jev

The README is a catalogue, not a tutorial: it does not document a single code path for calling Jev. Across listed projects, Jev is used to pick browser steps and UI controls, select model tiers, re-rank search hits, judge code-review items, choose game moves and music parts, and label inboxes; surrounding code supplies state and acts on the returned probabilities.

Primitives:choicescorenoul

Technique worth stealing

Split work: a small typed-decision model makes bounded choices while a larger LLM or deterministic code supplies evidence and executes actions.

Try it

Give the install prompt in the README to your coding agent, then pick a skill.

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 material0.78
  • Shows a System One patternnot found in the excerpt0.27
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersnot found in the excerpt0.08
  • Is a runnable toolFound in material0.70
  • Top-10 learning shortlist signalunclear0.46
  • Is a replica of the modelnot found in the excerpt0.08
  • Solves a common problem (0–2)score on a 0–2 scale1.00 / 2
  • About JevFound in material0.95
Signals
Jev is core to the project0.78Shows a System One pattern0.27Describes handling uncertainty0.05Reports measured numbers0.08Is a runnable tool0.70Top-10 learning shortlist signal0.46Is a replica of the model0.0800.51Solves a common problem (0–2)1.00 / 2012

no-judgment band (0.40–0.60)

Design patterns
Ghostwriter0.87Funnel0.84Menu0.57Check-up0.47Blind review0.2700.51

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 18 Oct 2026.