Developer builds Claude Code plugin using a yes/no decision model to cut LLM overhead

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A developer has released jev-tools, an open-source Claude Code plugin that offloads routine binary decisions — such as rule checks and skill selection — to a lightweight model called OpenJev that returns only probabilities rather than free text. The model, served by a platform called Codiv, answers typed yes/no, pick-one, or scoring questions in tens to hundreds of milliseconds, avoiding the cost and latency of full LLM calls for simple judgments. The plugin includes features like a rule enforcement hook, a git diff review pre-checker, and a skill picker, with hooks designed to fail open during outages so edits are never blocked unintentionally. Live testing revealed issues including 403 errors from a rejected User-Agent, false rule violations on clean edits, and unstable goal-detection probabilities in the browser navigator, all of which were subsequently addressed. The project is MIT-licensed, built on Python 3.10+ with no external dependencies, and ships in shadow mode by default so it only logs actions until the user opts into active enforcement.

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