sys1grep: grep by meaning, across languages

by uehaj · AI Tool · ★ 150

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

How to install sys1grep

npm install -g @uehaj/sys1grep
npx @uehaj/sys1grep -n -e "customer is angry or frustrated" tickets.txt

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

Security audit verdict: SAFE · quality 56/100

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

Stars150
Forks10
LanguageJavaScript
CategoryAI Tool
Quality Score56/100
Open Issues30
Last Updated2026-10-21
Created2026-09-19
Platformsnode
Est. Tokens~25k

About sys1grep

sys1grep — System 1 for your files; uses TypeSafe AI's Jev 日本語版はこちら Background and design notes (Japanese): Jevのキラーアプリ、「意味で探す grep」を作った on Zenn. Renamed from semgrep (0.5.0). The name collided with the static-analysis tool Semgrep, so from 0.5.0 this is sys1grep (System 1 + grep): npm package (was ), commands / , environment , config .

Compatible Skills

These tools work well together with sys1grep for enhanced workflows:

  • jeview — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (60%)
  • jev-mcp — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • jev-desktop — 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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