jev-search: Search the web with TypeSafe's Jev: source selection, query understanding and relevance ranking

by superagents-lab · AI Tool · ★ 553

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

How to install jev-search

git clone https://github.com/superagents-lab/jev-search.git

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

Security audit verdict: SAFE · quality 65/100

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.

🧪 Tested by Agent Skills Hub

One of 11 tools we ran end to end on the same task for our TypeSafe Jev page (2026-10-11).

Result: its quick start did not run on a Jev key alone · Needs a Cloudflare account: its dev server opens a remote Workers AI session and would not start without one. · 3 steps beyond the README · 103 s to install and run

See the first run → · See the whole test →

Quick Facts

Stars553
Forks69
LanguageTypeScript
CategoryAI Tool
LicenseMIT
Quality Score65/100
Open Issues1
Last Updated2026-10-21
Created2026-09-17
Platformsbrowser, node
Est. Tokens~16k

About jev-search

Jev Search Search the web in plain language. TypeSafe's Jev chooses sources, time ranges and search terms, then ranks the results returned through Search1API. You get links and snippets, with visible relevance scores and editable filters. No generated answers. Try Jev Search Built by Search1API. This is an independent project, not an official TypeSafe product. How it works Understand.

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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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