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jev-claude-skills

jlacera/jev-claude-skills · Homepage

Claude skills for Jev, TypeSafe AI's decision model.

Verification & Guardrails0.31Runner-up: Classification & RoutingQuestionnaire
Automated README summary

Automatically summarized from the README on 4 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Unofficial Claude skills for Jev, TypeSafe AI's System One decision model, aimed at SEO, growth and automation work. Includes Node/Python clients, a batch engine, a local mock, an n8n workflow and tested scripts.

How it uses Jev

Jev answers typed questions about a piece of text (yes/no, one of N options, a level on a scale) with a calibrated probability per answer. Skills cover internal linking, near-duplicate detection, buyer-intent prospecting, outreach checks, ICP lists, bookkeeping review, claim verification and agent cost-cutting. Scripts write a CSV for review; nothing is published or sent.

Primitives:choicescorenoul

Technique worth stealing

One call per item with every question inside it; combine answers in code and judge the gap between the top two answers.

Try it

bash tests/run-tests.sh (no key needed); or run scripts with node --env-file=../.env.

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 material0.91
  • Shows a System One patternFound in material0.74
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.13
  • Is a runnable toolFound in material0.81
  • Top-10 learning shortlist signalunclear0.47
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.02 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.91Shows a System One pattern0.74Describes handling uncertainty0.06Reports measured numbers0.13Is a runnable tool0.81Top-10 learning shortlist signal0.47Is a replica of the model0.0600.51Solves a common problem (0–2)1.02 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.93Scorecard0.67Funnel0.52Inspection0.31Fail open, fail closed0.26Traffic light0.23Menu0.22Check-up0.22Viewfinder0.21Question bank0.2000.51

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 4 Oct 2026.