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 awesome-skills · Claude Skill · ★ 1.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is code-review-skill safe to install? View the security audit →
🔍 Code Review Skill A comprehensive, modular code review skill for Claude Code 面向 Claude Code 的全面模块化代码审查技能 English · 中文 · Contributing English What is this? Code Review Skill is a production-ready skill for Claude Code that transforms AI-assisted code review from vague suggestions into a structured, consistent, and expert-level process. It covers 17+ languages and frameworks with over 14,000 lines of carefully curated review guidelines — loaded progressively to minimize context window usage. ✨ Key Features Progressive
| Stars | 1,914 |
| Forks | 201 |
| Language | HTML |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.3889603691028/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-08 |
| Created | 2025-11-29 |
| Platforms | claude-code |
| Est. Tokens | ~20k |
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code-review-skill is A comprehensive code review skill for Claude Code, covering React 19, Vue 3, Rust, TypeScript, TanStack Query v5, and more.. It is categorized as a Claude Skill with 1.9k GitHub stars.
code-review-skill is primarily written in HTML.
You can find installation instructions and usage details in the code-review-skill GitHub repository at github.com/awesome-skills/code-review-skill. The project has 1.9k stars and 201 forks, indicating an active community.
code-review-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to code-review-skill on Agent Skills Hub include claude-code-showcase, claude-codex-settings, digital-marketing-pro. 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: