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 · ★ 133
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openJev-verdict-2.0 safe to install? View the security audit →
openJev-verdict-2.0: Non-Autoregressive System 1 Decision Engine -brightgreen) -success) openJev-verdict-2.0 is an open-source, non-autoregressive foundational decision model engineered for deterministic software automation, inspired by TypeSafe AI's Jev and Reinforcement Learning for Calibrated Decisions (RLCD). While standard Large Language Models waste compute generating text strings that deterministic software must parse and validate, openJev-verdict-2.0 evaluates typed decision schemas (, , ) in non-autoregressive forward passes (20–25 ms per decision) with actuarial-grade c
| Stars | 133 |
| Forks | 17 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 59.9815173442794/100 |
| Last Updated | 2026-09-20 |
| Created | 2026-09-19 |
| Platforms | browser, python |
| Est. Tokens | ~15k |
These tools work well together with openJev-verdict-2.0 for enhanced workflows:
Looking for a openJev-verdict-2.0 alternative? If you're comparing openJev-verdict-2.0 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.
🔥🔥 Papers, open reproductions and independent evaluations behind System One models and Jev.
🔥🔥 Papers, open reproductions and independent evaluations behind System One models and Jev.
The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe
Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub
A community directory of projects built on Jev, TypeSafe AI's System One model.
Curated Jev resources and runnable examples for typed AI decisions.
Explore other popular agent tool tools:
openJev-verdict-2.0 is Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE). It is categorized as a Agent Tool with 133 GitHub stars.
openJev-verdict-2.0 is primarily written in Python. It covers topics such as agentic-ai, brier-score, calibration.
You can find installation instructions and usage details in the openJev-verdict-2.0 GitHub repository at github.com/Heman10x-NGU/openJev-verdict-2.0. The project has 133 stars and 17 forks, indicating an active community.
The top alternatives to openJev-verdict-2.0 on Agent Skills Hub include awesome-jev-gallery, awesome-jev, von. 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: