Top Repos· Jev-Based· Eval· Last updated

aiwithenoch / Jev-Skill

“Open-source Jev harness for TypeSafe, OpenJev, Ollama, vLLM, LM Studio, and llama.cpp. Typed decisions, calibration, verification, abstention, and CI gates.”

Jev-Based rank #241In Eval #54

TL;DR

aiwithenoch/Jev-Skill is an independent decision engine or interface clone. Useful to study. Not Jev, not RLCD, not a calibration transfer.

The author describes it as: “Open-source Jev harness for TypeSafe, OpenJev, Ollama, vLLM, LM Studio, and llama.cpp. Typed decisions, calibration, verification, abstention, and CI gates.” That is their claim, not a bench this site ran.

Who it’s for

What’s inside

Top-level entries on GitHub at generation time: .github, .gitignore, CITATION.cff, CODE_OF_CONDUCT.md, CONTRIBUTING.md, LICENSE, README.md, SECURITY.md, SKILL.md, agents, references, scripts, skill-card.md, tests. Read those before you trust a one-line install.

How to use

  1. Clone and follow the author’s Python toolchain. Do not invent a package name.
git clone https://github.com/aiwithenoch/Jev-Skill.git
cd Jev-Skill
  1. If you compare to Jev, keep a processor label so replica rows never read as Jev scores.
  2. Send a complete state and typed questions. Code owns control flow after the probabilities.

Hosted Jev still looks like a function call — wrapper or not:

{
  model: "jev-1.13.0",
  state: { source: "aiwithenoch/Jev-Skill", brief: "..." },
  questions: {
    gate: { type: "noul", instructions: "Should we act on this state?" },
    route: { type: "choice", instructions: "Pick one next system.", criteria: ["code", "review", "human"] },
  },
}

Try this

Label a side-by-side, do not merge floors

Compare aiwithenoch/Jev-Skill and hosted jev-1.13.0 on my 50 labeled tickets. Report agreement. Do not copy thresholds. Tag every row with processor=replica or processor=jev.

Schema-safe ≠ correct

On a case aiwithenoch/Jev-Skill gets wrong, write down the schema-legal answer it returned and the human label. Do not “fix” it by asking Jev to generate an explanation.

FAQ

Can I treat these scores as Jev?

No. Label them as replica or local-engine results. Calibration does not transfer.

Does TypeSafe endorse it?

Their public docs index does not list it as Jev. We do not either.

Sources

Public repository metadata and TypeSafe documentation. No private claims.