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npm i -g jevgrep # installs the `jgrep` command
bun run build # dist/jgrep.js, plain node, deps bundledTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 61 |
| Forks | 5 |
| Language | TypeScript |
| Category | AI Tool |
| License | MIT |
| Quality Score | 63/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-15 |
| Created | 2026-09-19 |
| Platforms | node |
| Est. Tokens | ~15k |
jgrep grep for what code does, not what it's called. No index. No embeddings. No LLM round-trips. A whole tree in 2 s for about a cent. Why jgrep runs on Jev, a System One model: it never generates text, it answers typed yes/no questions with calibrated probabilities, in parallel, at $0.042 per
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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: