review

Automate PR code review for SQL injection, LLM trust boundaries, and side effects.

Updated Jun 4, 2026
One-click install
npx skills add https://github.com/burgebj/gstack --skill review-burgebj
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/burgebj/gstack/tree/main/review
Command: npx skills add https://github.com/burgebj/gstack --skill review-burgebj

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the code review process, providing automated checks for SQL safety, LLM trust boundary violations, conditional side effects, and other structural issues, helping to catch potential problems early and streamline the review process.

Core Features & Use Cases

  • Automated Code Review: Analyze code changes for potential issues before merging.
  • SQL Safety: Check for SQL injection vulnerabilities in code changes.
  • LLM Trust Boundary: Validate LLM-generated code against predefined rules.
  • Conditional Side Effects: Identify code that may have unintended side effects.
  • Use Case: When a PR is submitted, the 'review this pr' command can be used to automatically check the code for potential issues.

Quick Start

Run the 'review this pr' command when you want to automatically review the code changes in a PR.

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 SQL injection and LLM trust boundary violations?

Automated code review for SQL injection and LLM trust boundary violations is performed by running the 'review this pr' command, which analyzes PR code changes to catch potential security and structural issues early.

What are conditional side effects in PR review and how are they detected?

Conditional side effects in PR review are unintended code behaviors identified through automated checks. The review process analyzes code changes to detect these structural issues before merging.

Do I need Python to run automated PR checks for security vulnerabilities?

Yes, you need Python installed to execute automated PR checks for security vulnerabilities. The review process requires Python to run its scripts for analyzing SQL injection and trust boundary violations.

Can I use automated code review to check LLM-generated code before merging?

Yes, automated code review can check LLM-generated code before merging by validating it against predefined rules. This LLM trust boundary validation ensures generated code meets safety and structural standards.

What is the best way to streamline code review for SQL safety and structural issues?

The best way to streamline code review for SQL safety and structural issues is using automated checks via the 'review this pr' command, which targets SQL injection vulnerabilities and conditional side effects directly in PRs.