What problem does it solve?
Getting a second opinion on complex code questions normally means manually querying multiple AI tools and reconciling their answers yourself. This Skill automates dual-AI consultation by dispatching the same structured prompt to OpenAI Codex and Claude's code-searcher agent in parallel, then synthesizing their citation-backed findings into one comparison report.
Core Features & Use Cases
- Parallel Dual-AI Dispatch: Sends an enhanced prompt with line-number citation requirements to both Codex CLI and the code-searcher subagent simultaneously, cutting total response time.
- Structured Comparison Report: Produces raw responses from both agents plus a comparison table, agreement level, corroboration-bucketed findings, and a synthesized recommendation.
- Resilient Execution: Handles broken nvm-installed Codex binaries, missing jq, hung CLI processes via timeout watchdogs, and degraded single-agent runs when one agent fails.
- Use Case: When debugging a difficult issue or reviewing architecture, ask a code question and receive two independent analyses with file:line citations, bucketed as corroborated, solo, or disputed findings.
Quick Start
Ask a code question like "consult codex on how the authentication flow works in this repository" to get a dual-AI citation-verified analysis.