by gargpratyush · AI Tool · ★ 652
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g jev-router
git clone https://github.com/gargpratyush/jev-router.gitTaken from the project's README on GitHub. Check the security audit before running it.
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. Full audit →
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 | 652 |
| Forks | 101 |
| Language | JavaScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 68/100 |
| Open Issues | 55 |
| Last Updated | 2026-09-19 |
| Created | 2026-09-16 |
| Platforms | claude-code, node |
| Est. Tokens | ~15k |
jev-router Automatic per-turn model routing for Claude Code and OpenAI Codex. Jev sends simple work to the fast tier and difficult work to the strong tier, while preserving each CLI's native interface, tools, sessions, permissions, and authentication. Both commands launch the real upstream CLI. Jev only chooses the model for a fresh user turn.
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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: