Do I need the other CLI tools installed separately?

Yes, you must have the corresponding CLI tools (like the Google Gemini CLI or OpenAI Codex CLI) installed and authenticated on your local machine for the skill to use them.

Can I choose which specific models to consult?

Yes, you can specify your preferred tools using arguments, such as '/review gemini codex', or simply ask for a 'peer review' to use all detected tools.

Does it run automatically on every code change?

No, this skill is designed to be heavyweight. It only triggers when you explicitly request a review (e.g., 'Review this with Gemini') to save on processing time and tokens.

Which LLMs does this skill support?

It currently supports Gemini, Codex, and Claude CLI tools, with the ability to auto-detect any installed compatible CLI tools on your system path.

How does it handle large codebases or diffs?

The skill manages the context window by using git summaries and focusing on recent conversation context rather than passing entire file contents, preventing token bloat.

Peer LLM Code Consultant

Name: Peer LLM Code Consultant
Author: ether-moon

byether-moon

Security & Testing

Executes parallel code reviews using external LLM CLIs like Gemini and Codex to provide diverse architectural and quality insights.

About

This skill empowers Claude to leverage external validation by consulting other LLM CLI tools—such as Gemini and Codex—to perform parallel peer reviews on your code changes. It automatically gathers context from your current session and git history, executes multiple reviews simultaneously, and synthesizes the findings into a single, actionable report highlighting critical bugs, security risks, and architectural improvements. It is ideal for high-stakes implementations where a single model's perspective may not be sufficient for comprehensive validation.

Key Features

Intelligent synthesis of diverse feedback into a single prioritized action plan
Automatic context extraction from conversation history and git diff summaries
Parallel execution of multiple LLM CLI tools including Gemini, Codex, and Claude
Support for dynamic CLI detection and custom model selection via arguments
Structured reporting covering critical issues, architecture, and testing gaps
0 GitHub stars

Use Cases

Cross-referencing implementation quality against different model benchmarks for production-grade code
Validating complex architectural changes with multiple AI perspectives before a major merge
Performing automated security and bug audits using diverse LLM logic to catch edge cases

About

Key Features

Intelligent synthesis of diverse feedback into a single prioritized action plan
Automatic context extraction from conversation history and git diff summaries
Parallel execution of multiple LLM CLI tools including Gemini, Codex, and Claude
Support for dynamic CLI detection and custom model selection via arguments
Structured reporting covering critical issues, architecture, and testing gaps
0 GitHub stars

Use Cases

Cross-referencing implementation quality against different model benchmarks for production-grade code
Validating complex architectural changes with multiple AI perspectives before a major merge
Performing automated security and bug audits using diverse LLM logic to catch edge cases