by ikermoel · LLM Plugin · ★ 79
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install open-alternative-jev # Hugging Face backend
pip install "open-alternative-jev[vllm]" # + vLLM backendTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 79 |
| Forks | 14 |
| Language | Python |
| Category | LLM Plugin |
| License | Apache-2.0 |
| Quality Score | 66/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-25 |
| Created | 2026-09-18 |
| Platforms | python |
| Est. Tokens | ~16k |
Open Alternative to Jev Open-source System One models: typed, calibrated decisions from any open-weights LLM, in one forward pass. An open alternative to the idea behind TypeSafe's Jev, running on your own GPU with models you already have. Python package , import name ("System One").
Looking for a open-alternative-jev alternative? If you're comparing open-alternative-jev with other llm plugin tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
JevK5: open-weight alternative to TypeSafe Jev. Typed decisions with probabilities in one forward pass; Apache
🔥🔥 Papers, open reproductions and independent evaluations behind System One models and Jev.
A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast
TypeSafe Jev for DeepSeek Harness, the Model Context Protocol, and plain Node: typed judgments instead of pros
Jev / TypeSafe System One 中文精选列表：官方资料、SDK、爆款应用、Agent 工具、开源复现与独立评测，附中文上手指南，每日自动收录 GitHub 热门项目。
JevStyle: local decision models for AI agents. Classify, route and score with a probability per option. system
Explore other popular llm plugin tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: