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Updated 1w ago

by lawrence3699

jev-style

Small, calibrated decision models on your own machine: systemone-compatible local server, 6 agent skills, Claude Code guard, MCP tools. Weights on Hugging Face.

  • New — Created in the last 30 days
  • Active — Updated in the last 14 days
Works with
  • Claude
View on GitHub (opens in a new tab)

21 GitHub stars (21)

+21 in 21 days

Stars gained per day · daily snapshots since Oct 2
Stars gained per day, Oct 2 to Oct 16: +10 in total; the busiest day was Oct 13 with +2 stars.Oct 3: +1 starsOct 4: +1 starsOct 5: +1 starsOct 6: 0 starsOct 7: +1 starsOct 8: +1 starsOct 9: 0 starsOct 10: 0 starsOct 11: 0 starsOct 12: +1 starsOct 13: +2 starsOct 14: +2 starsOct 15: 0 starsOct 16: 0 stars
Stars gained between daily snapshots
PeriodNew stars
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Oct 150
Oct 160
  • 6 skills (6 skills found in its SKILL.md files)
  • 2 forks (2 forks)
  • 1w ago last update (Last updated 1w ago)

Install

Skills CLI

npx skills add lawrence3699/jev-style

Asks which skills and agents to install. Just one: npx skills add lawrence3699/jev-style --skill jev-style-adopt — add -g for every project.

Claude Code

git clone https://github.com/lawrence3699/jev-stylecp -r "jev-style/skills/jev-style-adopt" ~/.claude/skills/

Copies the jev-style-adopt skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.

Plugin

/plugin marketplace add lawrence3699/jev-style

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • jev-style-adopt

    Find LLM API calls in a codebase that only return a decision (a category, yes/no, or a 1-5 rating) and move them to the local Jev-Style decision model safely - scan, pick candidates with the user, rewrite each as a typed noul/choice/score question with a confidence cascade back to the LLM, run in shadow mode, measure agreement with jev-style eval, then switch. Use when the user wants to cut LLM c…

    skills/jev-style-adopt/SKILL.md on GitHub (opens in a new tab)

  • jev-style-eval

    Measure the Jev-Style local decision model on the user's own labelled examples before relying on it - accuracy, Brier, ECE, how many decisions can be automated at a 1/5/10 % error budget and at which confidence threshold, plus a refitted calibration temperature. Use when the user asks whether the local model is good enough for their task, wants thresholds for automating a classification/routing/g…

    skills/jev-style-eval/SKILL.md on GitHub (opens in a new tab)

  • jev-style-guard

    Install the Jev-Style guard, a Claude Code PreToolUse hook that has a local decision model check every Bash, Write, Edit, Read, WebFetch and MCP tool call for destructive actions, data exfiltration, secrets access and out-of-project paths, and answers allow / ask / deny. Use when the user wants a local safety net or approval gate for Claude Code (or another agent with PreToolUse-style hooks), wan…

    skills/jev-style-guard/SKILL.md on GitHub (opens in a new tab)

  • jev-style-mcp

    Connect the Jev-Style local decision model to an AI coding agent as an MCP server (tools decide, noul, choice, score, model_info) - Claude Code, Claude Desktop, Cursor, Codex CLI, Windsurf or any MCP client. Use when the user wants their agent to classify, route, gate or score text with a local model through MCP, or asks to add jev-style as an MCP server.

    skills/jev-style-mcp/SKILL.md on GitHub (opens in a new tab)

  • jev-style-serve

    Install and start the Jev-Style local decision server (systemone-compatible API + Playground at http://127.0.0.1:8765) on macOS, Linux or Windows/WSL, pick the right backend (MLX on Apple silicon, PyTorch CUDA/CPU elsewhere, llama.cpp GGUF optional), verify it answers, and optionally keep it running at login. Use when the user wants to run Jev-Style, set up a local decision model / systemone endp…

    skills/jev-style-serve/SKILL.md on GitHub (opens in a new tab)

  • jev-style

    Call the local Jev-Style decision model (systemone-compatible API, default http://127.0.0.1:8765) to answer typed questions about text or JSON - yes/no probabilities (noul), one-of-N choices, ordered scores - for routing, classification, gating, triage, guardrails and scoring. Use when writing code that classifies, routes, scores or checks text with a small local model, when replacing an LLM call…

    skills/jev-style/SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.