oxlint-plugin-jev: what it is, how to install & alternatives

by wobsoriano · AI Tool · ★ 89

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install oxlint-plugin-jev

npm i -D oxlint oxlint-plugin-jev

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 64/100

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.

Quick Facts

Stars89
Forks4
LanguageTypeScript
CategoryAI Tool
LicenseMIT
Quality Score64/100
Open Issues2
Last Updated2026-09-24
Created2026-09-19
Platformsnode
Est. Tokens~11k

About oxlint-plugin-jev

oxlint-plugin-jev Lint rules written in plain English. Oxlint finds the code, TypeSafe Jev answers the question. A rule is one yes/no question about a function, a call, a JSX element, or a whole file. The plugin sends each match to Jev with the question, gets back a probability, and reports an error when it clears your cutoff. Jev is not a chat model.

oxlint-plugin-jev alternative? Top 4 similar tools

Looking for a oxlint-plugin-jev alternative? If you're comparing oxlint-plugin-jev with other ai tool tools, these 4 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

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:

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