review

Analyze code for bugs, performance issues, and security vulnerabilities.

Updated Jan 5, 2026
One-click install
npx skills add https://github.com/nesihaver-IL/MyFirstRepo --skill review-nesihaver-il
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/nesihaver-IL/MyFirstRepo/tree/main/.claude/skills/review
Command: npx skills add https://github.com/nesihaver-IL/MyFirstRepo --skill review-nesihaver-il

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The AI self-reviews its own code to identify bugs, performance issues, security vulnerabilities, and opportunities for improvement, reducing time spent on manual reviews.

Core Features & Use Cases

  • Self-review pass to detect logic errors, performance bottlenecks, and security issues.
  • Generates actionable fixes and documentation notes for subsequent PRs.
  • Use this in pull requests and post-commit checks to accelerate quality gates.

Quick Start

Use the review skill after completing /execute-plan to trigger an automated self-review of the current codebase. Then examine the generated report and apply suggested fixes.

Frequently Asked Questions about review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code review for security vulnerabilities and bugs?▼

Automated code review identifies bugs, performance issues, and security vulnerabilities by running static analysis and security checks. It generates a structured report with actionable recommendations to fix detected issues before peer review.

What is AI self-review and how does it work for code quality checks?▼

AI self-review performs static analysis, security checks, and quality validations on your codebase. It produces a structured report detailing logic errors, performance bottlenecks, and security issues alongside actionable fixes.

How do I run static analysis and security checks after completing a development plan?▼

Trigger an automated self-review after completing your development plan to run static analysis and security validations. Examine the generated report to apply suggested fixes for identified vulnerabilities and performance bottlenecks.

Can I use automated code review for pull requests and post-commit checks?▼

Automated code review applies directly to pull requests and post-commit checks to accelerate quality gates. It catches bugs, performance issues, and security vulnerabilities early, generating documentation notes for subsequent PRs.

Does automated self-review replace manual peer review for catching security issues?▼

Automated self-review reduces time spent on manual reviews by catching bugs, performance bottlenecks, and security vulnerabilities before peer review. It generates actionable fixes but serves as a preliminary quality gate, not a complete replacement.

What are the limitations of automated static analysis for code review?▼

Automated static analysis focuses on detecting logic errors, performance bottlenecks, and security vulnerabilities to produce actionable recommendations. It serves as a preliminary self-review pass to accelerate quality gates rather than replacing comprehensive manual peer review.

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