pg-jev — security grade SAFE, quality 73/100

Security audit verdict: SAFE · quality 73/100

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 realZachi · Agent Tool · ★ 233

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

🔒 Is pg-jev safe to install? View the security audit →

About pg-jev

jev — ask your Postgres tables questions in plain language Write the condition the way you would say it. Postgres does the rest. lets you filter, rank and classify rows with plain-language conditions. Every row is judged by TypeSafe's Jev, a System One model that returns calibrated probabilities instead of generated text. No index, no embeddings, no vector column. Website: pgjev.com is an ordinary boolean

Quick Facts

Stars233
Forks12
LanguageShell
CategoryAgent Tool
Quality Score72.9300472286628/100
Open Issues1
Last Updated2026-09-18
Created2026-09-17
Platformscli
Est. Tokens~11k

Compatible Skills

These tools work well together with pg-jev for enhanced workflows:

  • jevmeter — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)
  • foreman — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (62%)

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Frequently Asked Questions

What is pg-jev?

pg-jev is Ask your Postgres tables questions in plain language. A PostgreSQL extension powered by TypeSafe's Jev.. It is categorized as a Agent Tool with 233 GitHub stars.

What programming language is pg-jev written in?

pg-jev is primarily written in Shell.

How do I install or use pg-jev?

You can find installation instructions and usage details in the pg-jev GitHub repository at github.com/realZachi/pg-jev. The project has 233 stars and 12 forks, indicating an active community.

What are the best alternatives to pg-jev?

The top alternatives to pg-jev on Agent Skills Hub include awesome-android-agent-skills, agent-skills, claude-code-skill-factory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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