sanyuan0704

sanyuan0704 / code-review-expert

Public

Expert code review skill: SOLID, security, performance, error handling, boundary conditions

2,434
197
100% credibility
Found Feb 04, 2026 at 188 stars 13x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A skill for AI agents that automatically reviews recent code changes for issues in architecture, security, performance, error handling, and code quality, providing prioritized findings and fix plans.

How It Works

1
🔍 Discover the Helper

You hear about Code Review Expert, a smart assistant that checks your code for problems like security risks and performance issues, making your projects stronger.

2
➕ Add the Expert

You easily add this reviewing expert to your AI toolkit with a simple command, so it's ready to help anytime.

3
✏️ Make Your Changes

You update your project code, and the expert prepares to look at just what you changed.

4
🔬 Run the Review

You tell your AI to start the code review, and it scans everything from design principles to bugs and weak spots automatically.

5
📋 See the Findings

You get a clear report of issues sorted by how serious they are, with tips on what to fix first.

6
✅ Improve Your Code

You follow the safe suggestions to clean up problems, plan removals, and make your code better overall.

🎉 Stronger Project

Your code is now secure, efficient, and high-quality, ready for the next steps with confidence.

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Star Growth

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AI-Generated Review

What is code-review-expert?

Code-review-expert is an AI agent skill that scans your git changes for issues like SOLID violations, security risks (XSS, injections, secrets), performance pitfalls (N+1 queries, memory leaks), error handling gaps, and boundary bugs. Install via `npx skills add sanyuan0704/code-review-expert`, then trigger it with `/code-review-expert` in your AI interface—it auto-scopes diffs and outputs severity-ranked findings (P0 critical to P3 low) with fix plans. Acts like a github expert advisor mt5 for code, working across LLM providers without custom setup.

Why is it gaining traction?

It bundles senior-level checklists into one slash command, spotting dead code for safe removal and OWASP-style vulns that tools like linters miss—developers notice the structured P0-P3 output and confirmation step before changes. With 623 stars, it hooks solo coders tired of manual reviews, standing out as a code expert review alternative to verbose CI plugins. No fuss: preflight diffs, architecture checks, and actionable plans in seconds.

Who should use this?

Open source maintainers drowning in PRs, indie hackers validating features solo, or backend teams chasing perf regressions like missing caches. Suited for devs on github elixir expert projects or those needing quick security scans before merges, especially without dedicated reviewers.

Verdict

Grab it for lightweight AI code reviews—docs are crisp, install is instant, but 1.0% credibility score and modest stars mean it's early maturity; validate on real repos before production. Strong for code expert review boosts in small teams.

(178 words)

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