by codegirl-007 · AI Tool · ★ 126
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go install github.com/codegirl-007/jevlint/cmd/jevlint@latestTaken 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 | 126 |
| Forks | 5 |
| Language | Go |
| Category | AI Tool |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-16 |
| Created | 2026-09-25 |
| Platforms | go |
| Est. Tokens | ~19k |
Jevlint Jevlint checks code against plain-language rules. It uses Tree-sitter to extract code units, then asks Jev whether each one passes. Install Download a prebuilt binary from Releases — and on /, and on — unpack it, and put on your . Or install with Go: Getting started detects the languages in the project and writes a starter . Add rules to (or install a pack) before the first check.
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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: