oracle

Audit, debug, and review complex codebases and architectures for correctness.

Updated Jan 2, 2026
One-click install
npx skills add https://github.com/hung14vnn/MedManagerFE --skill oracle-hung14vnn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle
Source: https://github.com/hung14vnn/MedManagerFE/tree/main/.agent/skills/oracle
Command: npx skills add https://github.com/hung14vnn/MedManagerFE --skill oracle-hung14vnn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provide advanced audits, debugging, and architectural reviews to improve system reliability and quality.

Core Features & Use Cases

  • Auditing and debugging complex codebases
  • Architecture and design review with second opinions
  • Review commits for correctness and safety
  • Deep research and problem decomposition for tough issues
  • Proactive guidance with structured, justified recommendations

Quick Start

Request a comprehensive audit and architectural review of a complex bug report and provide actionable recommendations.

Frequently Asked Questions about oracle

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

FAQPage Schema
How do I audit a complex codebase for architectural issues?

Code reviews for correctness checks identify potential issues in commits and designs by applying deep reasoning and explicit justifications. This process evaluates system safety, decomposes tough problems, and ensures deployment pipelines meet reliability standards.

Can I get a second opinion on my software architecture and design?

Architecture reviews provide second opinions by applying deep reasoning and explicit justifications to your designs. This identifies structural issues, validates correctness across commits, and outputs structured recommendations to optimize system quality.

What is the best way to debug tough issues using deep problem decomposition?

To debug tough issues using deep problem decomposition, submit the complex bug report for analysis. The process breaks down the problem, applies deep reasoning to identify root causes, and outputs actionable recommendations to resolve the issue.

Does this code review process work with GPT-5 for proactive risk analysis?

Yes, this audit process supports GPT-5 for proactive risk analysis when available. It leverages advanced reasoning to perform deep architectural reviews, evaluate commits for correctness, and provide structured justifications with guardrails against unsafe guidance.

What are the limitations when reviewing deployment pipelines for safety?

When reviewing deployment pipelines for safety, limitations include the need for explicit reasoning and guardrails to prevent unsafe guidance. The analysis provides structured justifications, but complex codebases may require thorough problem decomposition to identify all risks.