second-opinion

Run external LLM code reviews on uncommitted changes, branch diffs, or commits.

1|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/Ramprasad4121/srp --skill second-opinion-ramprasad4121
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: second-opinion
Source: https://github.com/Ramprasad4121/srp/tree/main/skills-repos/trailofbits/plugins/second-opinion/skills/second-opinion
Command: npx skills add https://github.com/Ramprasad4121/srp --skill second-opinion-ramprasad4121

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides an external, AI-powered code review for your uncommitted changes, branch diffs, or specific commits, offering a second perspective beyond your own or your team's.

Core Features & Use Cases

  • External LLM Reviews: Leverages OpenAI Codex or Google Gemini CLI for independent code analysis.
  • Flexible Scope: Review uncommitted code, differences between branches, or specific commit history.
  • Use Case: Before pushing your code, you can ask for a "second opinion" on your changes using both Codex and Gemini to catch potential issues from different AI perspectives.

Quick Start

Ask Claude to provide a second opinion on your uncommitted code changes.

Frequently Asked Questions about second-opinion

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

FAQPage Schema
How do I run AI code reviews on uncommitted changes before pushing?

Run AI code reviews on uncommitted changes by executing external LLM tools to analyze your branch diffs or specific commits. This provides a second perspective on your modifications before sharing them with your team.

Can I use OpenAI Codex and Google Gemini CLI simultaneously for diff analysis?

Yes, you can use OpenAI Codex and Google Gemini CLI simultaneously for diff analysis. The tool supports parallel execution of multiple LLM tools to catch potential issues from different AI perspectives.

What is the best way to get an independent code analysis on branch differences?

The best way to get independent code analysis on branch differences is using external LLM reviews. This approach leverages independent AI analysis to evaluate differences between branches or specific commit history.

Does external LLM code review support various scopes and security focuses?

External LLM code review supports various review scopes and focuses, including security analysis. It evaluates uncommitted code, branch diffs, or specific commits while integrating with your project conventions.

Why use multiple LLM tools for code review instead of a single AI perspective?

Using multiple LLM tools for code review catches potential issues from different AI perspectives. Running parallel execution of Codex and Gemini provides a comprehensive second opinion beyond your own or your team's review.