Review

Orchestrate artifact review workflows with self-review, filtering, and debate escalation.

393|34|Updated Feb 10, 2026
One-click install
npx skills add https://github.com/Pthahnix/De-Anthropocentric-Research-Engine --skill review-pthahnix
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Review
Source: https://github.com/Pthahnix/De-Anthropocentric-Research-Engine/tree/main/skills/tactic/review
Command: npx skills add https://github.com/Pthahnix/De-Anthropocentric-Research-Engine --skill review-pthahnix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill orchestrates automated artifact review and validation workflows to ensure quality and consistency across outputs in multi-agent strategy environments.

Core Features & Use Cases

  • Self-review orchestration: runs a quick self-review for every artifact, classifying results into accepted, revised, and rejected.
  • Quality-Diversity filtering: applies MAP-Elites-like filtering to ideas when there are more than three accepted items.
  • Debate escalation: triggers a full multiagent debate for low-confidence revisions to refine or reject artifacts.
  • Aggregate reporting: produces a final, consolidated ReviewResult for downstream decision-making.

Quick Start

Run the self-review-quick SOP for all artifacts, apply quality-diversity filtering to ideas when needed, and escalate debates only for low-confidence revisions.

Frequently Asked Questions about Review

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

FAQPage Schema
How do I automate artifact validation in a multi-agent strategy workflow?

Artifact review and validation workflows classify outputs into accepted, revised, or rejected categories through self-review, apply quality-diversity filtering to ideas, and trigger multiagent debates for low-confidence revisions to refine results.

What is the best way to filter ideas during a self-review process?

The best way to filter ideas is applying Quality-Diversity filtering using a MAP-Elites-like approach, which activates when more than three accepted items exist, ensuring diverse and high-quality artifact selection before escalation.

When should I use debate escalation for artifact revisions?

Debate escalation should be used for low-confidence revisions identified during the self-review phase, triggering a full multiagent debate to critically evaluate, refine, or reject the artifact before final aggregate reporting.

Can I use this multi-agent review process for different types of artifacts?

Yes, this multi-agent review process applies to diverse artifacts including ideas, gaps, experiments, and results, running a self-review SOP to classify each artifact and produce a consolidated ReviewResult for downstream decision-making.

How does aggregate reporting work after multi-agent validation?

Aggregate reporting works by consolidating the outcomes of self-review, quality-diversity filtering, and debate escalations into a final ReviewResult, providing a unified view for downstream decision-making in multi-agent strategy contexts.