No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Heman10x-NGU · Agent Tool · ★ 110
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Verdict-open-jev safe to install? View the security audit →
OpenJev (Verdict): Non-Autoregressive Decision Engine (151M) OpenJev (Verdict) is an open-source, post-trained foundational decision model designed for structured software workflows, inspired by TypeSafe AI\'s Jev and Reinforcement Learning for Calibrated Decisions (RLCD). Instead of generating free-form conversational text that software must parse and validate, OpenJev accepts unstructured input context and evaluates multiple typed questions in a single non-autoregressive forward pass. It returns discrete choices, ordinal scores, and binary probabilities with mathematically calibrated confidence values in under 35 milliseconds. The core thesis: Jevons\' paradox in soft
| Stars | 110 |
| Forks | 14 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 60.3011799567112/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-28 |
| Created | 2026-09-17 |
| Platforms | browser, python |
| Est. Tokens | ~20k |
Looking for a Verdict-open-jev alternative? If you're comparing Verdict-open-jev with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
🔥🔥 Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System On
🔥🔥 Papers, open reproductions and independent evaluations behind System One models and Jev.
Jev DSH 决策引擎｜面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness，通过 iPolloWork 支持 OpenCode、Codex Harness。
A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions.
A lightweight, modular Java application framework for web and CLI development, designed for AI integra
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Verdict-open-jev is Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground. It is categorized as a Agent Tool with 110 GitHub stars.
Verdict-open-jev is primarily written in Python. It covers topics such as brier-score, calibration, decision-engine.
You can find installation instructions and usage details in the Verdict-open-jev GitHub repository at github.com/Heman10x-NGU/Verdict-open-jev. The project has 110 stars and 14 forks, indicating an active community.
The top alternatives to Verdict-open-jev on Agent Skills Hub include awesome-jev-gallery, awesome-jev, jev-dsh-decision. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: