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Jevify — altryne

An agent skill from the ThursdAI community that teaches Choice, Noul, and Score batching, scans repos for movable LLM judgments, and ships Python helpers without extra npm deps.

Stars
42
Language
Python
License
MIT
Published by
Community
Author
altryne
Last verified
Sep 2026

About this project

Give your agent a System One capability. Use Jev during everyday agent work, and find what it can improve in your product. Get started · Community examples · Question design · Read the skill. An agent can have access to Jev and still read every document, load every tool result, and repeat every judgment itself. Jevify teaches it to recognize work that a fast, inexpensive decision model can handle, then gives it the tools to act.

Quoted from the project's README. Read the full README.

Highlights

  • Install with npx skills add altryne/jevify --skill jevify for Claude Code, Codex, Cursor, and others.
  • Skill covers question design, shared-state batching, source preservation, and evaluation habits.
  • Python helpers need no third-party packages beyond TypeSafe credentials for live calls.
  • Independent of TypeSafe; activation depends on the host agent reading SKILL.md.

Watch out

MIT license. Not the Jev model or an official TypeSafe skill; does not auto-intercept tool output on install.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

Hacker News: Jevify skill scans a repo for structured LLM calls and rewrites them to Jev providers.

soupz0112 pointsJevify skill – Gets your existing agents running on JevRead the thread on Hacker News

Other listings of this project

Forks and copies of this project in the directory. This entry is the canonical one.

55GitHub stars
Toolkit that makes a model behind an OpenAI-compatible endpoint or running in-process answer typed choice, score, and yes/no questions from next-token probabilities in Jev API shape.
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5GitHub stars
Inference engine around Qwen2.5-1.5B-Instruct for classification, yes/no judgements, and rubric scoring with 100% schema-valid JSON, no fine-tuning required.
Jev Tools & CLIs#community#awesomejev#catalog-import

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