Which AI model is best for security audits?

Deep reasoning models like Claude Opus 4.6 or OpenAI o3 are recommended for their ability to understand implicit design patterns and catch subtle vulnerabilities.

Can I use different models for parallel subtasks?

Yes, this skill provides implementation patterns for the 'task' tool that allow you to specify different models for concurrent review perspectives.

How does this skill help save on AI API costs?

It provides strict guardrails against using prohibitively expensive models like o3-pro and suggests faster, mid-tier models for routine tasks where deep reasoning isn't required.

Does it provide language-specific model recommendations?

Absolutely. It includes guidance for Rust, C++, TypeScript, Python, Go, and Ruby, selecting models based on their strength in specific areas like memory safety or concurrency.

Smart Review Model Selector

Name: Smart Review Model Selector
Author: in-the-loop-labs

byin-the-loop-labs

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Collaboration Tools

Optimizes code review performance by providing intelligent heuristics for selecting the best AI model for specific analysis subtasks.

The Review Model Guidance skill empowers developers using Claude Code to maximize the efficiency and quality of AI-assisted code reviews by mapping specific review tasks to the most suitable LLMs. It provides detailed guidance on when to utilize deep reasoning models like Claude Opus or OpenAI o3 for complex logic and security audits, versus balanced models for general context analysis and style checks. By implementing these patterns, users can significantly reduce API costs by avoiding prohibitively expensive models while ensuring high-precision results for critical architectural, concurrency, and bug-hunting tasks.

Key Features

0116 GitHub stars

02Domain-specific guidance for various languages including Rust, Python, and TypeScript

03Specialized model mapping for bug hunting, security audits, and idiomatic code generation

04Parallel subtask management with per-task model delegation capabilities

05Intelligent model selection heuristics for balancing speed and reasoning depth

06Cost-control guardrails to prevent accidental usage of expensive reasoning models

Use Cases

01Selecting the optimal model for language-specific reviews, such as memory management in C++ or concurrency in Go

02Delegating complex security audits to deep reasoning models while using balanced models for general style checks

03Orchestrating parallel multi-perspective reviews using the task tool with different specialized model providers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add in-the-loop-labs/pair-review review-model-guidance

For use in Claude.ai and ChatGPT

Download Skill