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 NiazMorshed2007 · MCP Server · ★ 177
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is jev-review safe to install? View the security audit →
Jev Review Continuous software-quality review for AI coding agents, powered by Jev. Quick start · Client setup · Quality dimensions · Security Jev Review runs as a local MCP server and gives Claude Code, Codex, Cursor, and OpenCode structured quality scores while they work. Your coding agent remains responsible for diagnosing weaknesses and changing the code; Jev supplies a fast scalar signal across correctness, complexity, changeability, modularity, tests, security, and other independent quality dimensions. [!IMPORTANT] Your API key stays on your machine. Jev Review has no hosted backend, database, telemetry service, or author-operated proxy. The only remote request is sent directly to the configured Jev API. Demo https://github.com/user-attachments/assets/0ff9f873-0652-4826-af3d-6bb4f42c70b1 At a glance This GitHub
| Stars | 177 |
| Forks | 16 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.013971204523/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-17 |
| Created | 2026-09-17 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~17k |
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jev-review is Local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev.. It is categorized as a MCP Server with 177 GitHub stars.
jev-review is primarily written in TypeScript. It covers topics such as agent-plugin, ai-agents, claude-code.
You can find installation instructions and usage details in the jev-review GitHub repository at github.com/NiazMorshed2007/jev-review. The project has 177 stars and 16 forks, indicating an active community.
jev-review is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to jev-review on Agent Skills Hub include memorix, OpenContext, sage. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: