What problem does it solve?
Getting a second opinion on complex code questions normally means manually querying multiple AI models and reconciling their answers yourself. This Skill automates dual-AI consultation by dispatching the same enhanced prompt to z.ai's GLM 5.2 and Claude's code-searcher in parallel, then synthesizing their responses into a structured comparison.
Core Features & Use Cases
- Parallel Dual-AI Dispatch: Sends an enhanced prompt with citation requirements to both z.ai GLM 5.2 (via the zai CLI) and the code-searcher subagent simultaneously, with timeout watchdogs and read-only tool enforcement.
- Structured Comparison Report: Produces raw responses from both agents, a mandatory comparison table, agreement-level assessment, and findings bucketed by corroboration (corroborated, solo, disputed).
- Defect-Hunt Severity Mode: For bug hunts and code reviews, appends severity tagging (Critical/Warning/Info) and a no-manufacture rule so agents report "found nothing" honestly instead of inventing issues.
- Use Case: When debugging a difficult issue or reviewing architecture, ask a code question and receive two independent analyses with file:line citations, plus a synthesized recommendation on which source was more helpful.
Quick Start
Ask a code question like "consult z.ai on how the authentication flow works in this codebase" to get a dual-AI comparison report.