ReviewAgent

Reconcile DaoAgent, FaAgent, ShuAgent, and QiAgent outputs into a final verdict.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/liushuang393/serverlessAIAgents --skill reviewagent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ReviewAgent
Source: https://github.com/liushuang393/serverlessAIAgents/tree/main/skills/apps/decision_governance_engine/review
Command: npx skills add https://github.com/liushuang393/serverlessAIAgents --skill reviewagent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The ReviewAgent automates the cross-layer validation of outputs from DaoAgent, FaAgent, ShuAgent, and QiAgent, delivering a single, auditable final verdict (PASS, REVISE, or REJECT) to ensure consistency and accountability across the entire agent chain.

Core Features & Use Cases

  • Cross-agent result reconciliation: aggregates outcomes from all agents and computes an overall verdict.
  • Detailed findings: categorizes issues by severity and type, with suggested revisions.
  • Confidence scoring and warnings: provides a quantified trust metric and final cautions for decision-makers.

Quick Start

Run the ReviewAgent with the four agent results to obtain overall_verdict, findings, confidence_score, and final_warnings.

Frequently Asked Questions about ReviewAgent

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

FAQPage Schema
How do I validate multi-agent outputs across all layers for a final verdict?

To validate multi-agent outputs, you run the ReviewAgent with results from DaoAgent, FaAgent, ShuAgent, and QiAgent to compute an overall verdict, detailed findings, and a confidence score for governance workflows.

What is cross-layer result reconciliation in multi-agent workflows?

Cross-layer result reconciliation aggregates outcomes from DaoAgent, FaAgent, ShuAgent, and QiAgent to compute an overall verdict (PASS, REVISE, or REJECT), ensuring consistency and accountability across the agent chain.

How do I generate confidence scores and warnings for agent results?

To generate confidence scores and warnings, the ReviewAgent processes the four agent results to produce a quantified trust metric and final cautions, helping decision-makers audit the overall agent verdict.

Can I categorize multi-agent findings by severity and type?

Yes, you can categorize multi-agent findings by severity and type. The ReviewAgent outputs detailed findings that categorize issues and provide suggested revisions for governance and quality assurance workflows.

When do I need cross-layer validation for agent chains?

You need cross-layer validation for agent chains when you require structured verdicts, auditable findings, and final warnings to reconcile outputs from DaoAgent, FaAgent, ShuAgent, and QiAgent in governance workflows.