One-click install
npx skills add https://github.com/danielgap/openclaw-planitor --skill dual-llm-review-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Dual-LLM Review Skill
Source: https://github.com/danielgap/openclaw-planitor/tree/main/skills/dual-llm-review
Command: npx skills add https://github.com/danielgap/openclaw-planitor --skill dual-llm-review-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dual-LLM Review provides an adversarial evaluation framework that runs two independent LLM reviewers in parallel to mitigate model biases and produce a consolidated verdict for critical pipeline phases.

Core Features & Use Cases

  • Parallel dual-LLM evaluations to surface discrepancies and convergences.
  • Fusion: combine outputs into a single, actionable JUDGE-REPORT style verdict.
  • Phase targeting for Strategy (5), Build (6), and Judge (8) within Planitor workflows.
  • Safe fallback when only one model is available, with explicit caveats in the report.
  • Easy integration with Planitor artifacts to enhance decision quality and risk assessment.

Quick Start

Provide input artifacts for a Planitor phase and run Dual-LLM Review to generate a fused assessment.

Frequently Asked Questions about Dual-LLM Review Skill

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

FAQPage Schema
What is dual-LLM adversarial review and how does it mitigate model bias?

Dual-LLM adversarial review mitigates model bias by running two independent LLM reviewers in parallel on plan artifacts, surfacing discrepancies and convergences to produce a consolidated, fused verdict.

How do I run a dual-LLM evaluation on plan artifacts?

To run a dual-LLM evaluation, provide input artifacts for a Planitor phase and execute the review to generate a fused assessment, targeting Strategy, Build, or Judge phases within your pipeline.

Can I use a single model for adversarial review if I lack multiple LLM providers?

Yes, if only one model is available, the dual-LLM review uses two different prompts or prompts from different providers to preserve cross-checking, explicitly logging this fallback caveat in the final report.

What's the best way to consolidate divergent LLM review outputs into a single verdict?

The best way to consolidate divergent outputs is through dual-LLM review fusion, which combines parallel evaluations into a single, actionable JUDGE-REPORT style verdict for robust risk assessment.

Which pipeline phases does the dual-LLM review target for risk assessment?

The dual-LLM review targets Strategy (5), Build (6), and Judge (8) phases within Planitor workflows, evaluating plan artifacts to enhance decision quality and risk assessment across these critical stages.