review

Automate inspection and validation of code fixtures and project data structures.

216|13|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/getsentry/dotagents --skill review-getsentry
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/getsentry/dotagents/tree/main/examples/full/local-skills/review
Command: npx skills add https://github.com/getsentry/dotagents --skill review-getsentry

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the bottleneck of manual code inspection by providing a structured, automated approach to reviewing code fixtures and implementation details.

Core Features & Use Cases

  • Automated Fixture Review: Quickly validate test fixtures and mock data structures for consistency.
  • Standardized Feedback: Ensures that code reviews follow a consistent format, reducing cognitive load for developers.
  • Use Case: Use this skill when you need to verify that a new set of test fixtures aligns with existing project standards before merging a pull request.

Quick Start

Ask the agent to review the current fixture file using the review skill to identify potential inconsistencies.

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate the inspection of test fixtures before a pull request?

Automating fixture inspection requires a structured review tool that validates test fixtures and mock data structures against project standards. You can trigger this automated validation to quickly identify inconsistencies before merging code.

What is the best way to standardize feedback for code reviews?

Standardizing code review feedback requires an automated approach that checks implementation details and fixtures consistently. This ensures reviews follow a uniform format, which reduces cognitive load for developers during quality assurance.

How do I validate mock data structures for consistency in my codebase?

Validating mock data structures for consistency involves inspecting test fixtures against defined project-specific data structures. An automated validation process analyzes the local codebase to ensure new fixtures align with existing standards.

Do I need defined review criteria to validate code fixtures?

Yes, validating code fixtures requires access to the local codebase and defined review criteria. Providing these inputs ensures the automated analysis performs accurate inspections and identifies relevant inconsistencies in your data structures.

When should I use an automated tool to check code fixtures?

You should use an automated tool to check code fixtures when you need to verify that new test fixtures and implementation details align with existing project standards, specifically addressing the bottleneck of manual code inspection before merges.