code-reviewer

Audit ARIA code changes for financial accuracy, network stability, and data integrity.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Yoshi-Dai-1/ARIA --skill code-reviewer-yoshi-dai-1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/Yoshi-Dai-1/ARIA/tree/main/.agent/skills/code-reviewer
Command: npx skills add https://github.com/Yoshi-Dai-1/ARIA --skill code-reviewer-yoshi-dai-1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

ARIA code changes can risk financial calculation accuracy, network reliability, and data integrity. This Skill provides an audit framework to verify engineering changes against financial correctness, robust networking, and consistent metadata, reducing the risk of regressions in production.

Core Features & Use Cases

  • Financial accuracy audits: ensure decimal handling, rounding, and monetary calculations remain precise across modules.
  • Operational integrity checks: verify that external communications and API usage follow security and reliability guidelines.
  • Data integrity governance: monitor important metadata across data_engine and master pipelines to prevent drift and misalignment.

Quick Start

Run the code-reviewer audit on the latest PR to verify financial accuracy, network stability, and data integrity.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I audit code changes for financial accuracy and data integrity?

To audit code changes for financial accuracy, run the code-reviewer audit on PRs and commits affecting monetary calculations, verifying decimal handling, rounding, and precision across modules using the four audit pillars.

What is the best way to enforce security guidelines on external communications in my codebase?

Enforcing security guidelines on external communications involves operational integrity checks that verify API usage and network stability against security references, ensuring compliance before production deployment.

How do I prevent metadata drift in data pipelines during code reviews?

Preventing metadata drift in data pipelines requires data integrity governance checks that monitor metadata across data_engine and master pipelines, verifying consistent alignment and preventing misalignment during code reviews.

Can I require root-cause fixes instead of quick patches during automated code reviews?

Yes, you can require root-cause fixes over quick patches during automated code reviews by applying the four audit pillars, consulting FINANCIAL_AUDIT.md and SECURITY_GUIDE.md, and enforcing root-cause resolution on all flagged issues.

Does the code-reviewer audit work without external dependencies?

Yes, the code-reviewer audit works without external dependencies, relying solely on internal references like FINANCIAL_AUDIT.md and SECURITY_GUIDE.md to perform audits across all PRs and commits affecting financial calculations and data integrity.

When do I need to run a financial accuracy audit on my codebase?

You need to run a financial accuracy audit whenever code changes affect financial calculations, external communications, or metadata integrity, ensuring decimal handling, rounding, and network stability remain precise across modules.