skills.rest
mostafasudo
mostafasudoCOMMUNITY
Explore all skills by this author →
Website𝕏@mostafasudoGitHub

review

Review pull requests for SQL injection, LLM trust, and conditional side effects.

3|Updated Oct 12, 2025
Search Tags:#code review#PR review#SQL safety#LLM trust#pre-landing review
One-click install
npx skills add https://github.com/mostafasudo/warpy --skill review-mostafasudo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/mostafasudo/warpy/tree/main/.codex/skills/gstack/review
Command: npx skills add https://github.com/mostafasudo/warpy --skill review-mostafasudo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Bash, Read, Edit, Write, Grep, Glob, Agent, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of reviewing pre-landing pull requests for common issues like SQL safety, LLM trust, and conditional side effects, saving time and reducing the risk of deployment errors.

Core Features & Use Cases

  • Automated PR Review: Analyze pull requests for potential issues before they are merged.
  • SQL Safety: Detect SQL injection vulnerabilities in code changes.
  • LLM Trust Boundary: Ensure LLM-generated output is safe and accurate.
  • Conditional Side Effects: Identify code changes that could lead to unintended side effects.
  • Use Case: When you're asked to "review this PR" or perform a code review, this Skill can help you quickly identify and address potential problems.

Quick Start

Use the review skill to analyze the current PR for potential issues.

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate a pre-landing PR review for SQL injection?▼

You can automate pre-landing PR reviews for SQL injection by using this Skill to scan code changes for vulnerabilities, LLM trust issues, and conditional side effects before merging. It analyzes pull requests to reduce deployment risks.

What is an LLM trust boundary check in code review?▼

An LLM trust boundary check in code review ensures LLM-generated output is safe and accurate before integration. This Skill performs that check during automated pull request analysis to prevent unintended side effects.

How do I detect conditional side effects in pull requests?▼

Detect conditional side effects in pull requests by running this Skill to identify code changes that could lead to unintended behaviors. It flags these issues during the automated pre-landing review process.

What's the best way to check SQL safety before merging code?▼

The best way to check SQL safety before merging code is to automate the review process using this Skill. It detects SQL injection vulnerabilities in pull request changes to prevent deployment errors.

Do I need Bash and Agent to automate pull request reviews?▼

Yes, you need Bash, Agent, Read, Edit, Write, Grep, and Glob dependencies to automate pull request reviews with this Skill. These tools enable the necessary file interactions and checks.

Related Skills

Explore More Software Engineering Skills→
CarGDevCarGDev

Testing Expert

Generate unit, integration, and E2E test suites following TDD principles.

Community
Intermediate
burgebjburgebj

review

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

Community
Advanced
robertbr123robertbr123

requesting-code-review

Automate code review with security scans, quality checks, and automated fixes.

Community
Advanced
PrirogativusPrirogativus

security-review

Identify and mitigate security vulnerabilities in codebases via static analysis.

Community
Advanced