jegrep: Semantic grep: find code by describing what you're looking for, powered by Jev

by can1357 · AI Tool · ★ 117

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

How to install jegrep

cargo install jegrep
git clone https://github.com/can1357/jegrep

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

Security audit verdict: SAFE · quality 68/100

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

Stars117
Forks12
LanguageRust
CategoryAI Tool
LicenseMIT
Quality Score68/100
Open Issues1
Last Updated2026-09-26
Created2026-09-19
Platformsrust
Est. Tokens~24k

About jegrep

jegrep Jevantic grep: describe it, find it. Natural-language search that works like . No embeddings, no index, no daemon. Semantic: Finds concepts ("where do we verify JWT tokens?"), not just strings. No Index: Searches the live tree on every run. Nothing to build, refresh, or go stale.

Compatible Skills

These tools work well together with jegrep for enhanced workflows:

  • ck — semantic(0.54)+complementary+same_lang+shared_platform (59%)
  • semble_rs — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • skillranker — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)

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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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