Jev Agent Skill

An independent agent skill that walks a coding agent through designing a bounded Jev decision layer: contract, criteria, error behavior, fallback, and evaluation plan first, then scaffolding through TypeSafe or OpenRouter.

A portable Agent Skill that teaches coding agents - Claude Code, OpenAI Codex, Cursor and other compatible hosts - to use Jev as a bounded judgment layer, plus an optional MCP bridge and workflows for code, browser research, Blender and Unreal.

One skill and one MCP server for Claude Code, Codex and Hermes: Jev gates large-model turns with gate_triage, gate_verdict, gate_decide and gate_pick, runs build-and-repair loops with independent review, routes model tiers and skills, and guards Git steps.

A curated collection of agent skills, repositories and examples for building with Jev: jev-builder, jev-evidence-eval and jev-curator skills, plus routing, rerank, risk, evidence and tool-selection examples and a map of official and community skill collections.

An agent skill that measures your prompt with Jev before your coding agent starts work, refines the weak spots while preserving intent and scope, and rechecks until the prompt reaches a quality target — 80/100 by default, or three attempts.

An agent skill for Claude Code, Codex and other coding agents, with a standard-library Python CLI, 5 tested question sets and findings from 19,367 Jev calls and 90.4M metered input tokens over 4 days.