open-code-review — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

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 raye-deng · MCP Server · ★ 40

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

🔒 Is open-code-review safe to install? View the security audit →

About open-code-review

🤖 AI code quality gate for AI-generated code. Detects hallucinated packages, phantom dependencies, stale APIs, and more. MCP Server + CLI + CI/CD Action.

aiai-generated-codeci-cdcode-qualitycode-reviewdeveloper-toolsgithub-actionsgolanghallucination-detectionjava

Quick Facts

Stars40
Forks4
LanguageTypeScript
CategoryMCP Server
Quality Score71.3257239108224/100
Open Issues2
Last Updated2026-04-16
Created2026-03-04
Platformscli, mcp, node
Est. Tokens~16k

open-code-review alternative? Top 6 similar tools

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Frequently Asked Questions

What is open-code-review?

open-code-review is 🤖 AI code quality gate for AI-generated code. Detects hallucinated packages, phantom dependencies, stale APIs, and more. MCP Server + CLI + CI/CD Action.. It is categorized as a MCP Server with 40 GitHub stars.

What programming language is open-code-review written in?

open-code-review is primarily written in TypeScript. It covers topics such as ai, ai-generated-code, ci-cd.

How do I install or use open-code-review?

You can find installation instructions and usage details in the open-code-review GitHub repository at github.com/raye-deng/open-code-review. The project has 40 stars and 4 forks, indicating an active community.

What are the best alternatives to open-code-review?

The top alternatives to open-code-review on Agent Skills Hub include toolhive-studio, lucidity-mcp, ai-reviewer. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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