deep-qa-ensemble-v1

Audit artifacts with parallel critics and multi-provider severity judges.

4|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/npow/claude-skills --skill deep-qa-ensemble-v1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-qa-ensemble-v1
Source: https://github.com/npow/claude-skills/tree/main/deep-qa-ensemble-v1
Command: npx skills add https://github.com/npow/claude-skills --skill deep-qa-ensemble-v1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill systematically audits existing artifacts for defects that single-pass reviews may miss, using parallel critics and independent severity judges to identify correctness, safety, consistency, and workflow risks.

Core Features & Use Cases

  • Artifact-Aware QA: Selects dimensions and critique angles for documents, code, research reports, or other Claude skills.
  • Ensemble Severity Review: Uses independent Claude, OpenAI, and Gemini judges with blind and informed passes to calibrate defect severity.
  • Governed Execution: Tracks findings in structured state, validates defects, detects prompt injection in artifact content, enforces hard stops, and records coverage gaps.
  • Use Case: Review a technical specification or git diff, discover missing error paths and contract inconsistencies, validate the findings, and produce a severity-ranked QA report.

Quick Start

Use the deep-qa-ensemble-v1 skill to review the specified artifact or git diff and generate a validated QA report with ensemble severity judgments.

Frequently Asked Questions about deep-qa-ensemble-v1

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

FAQPage Schema
How do I find critical defects in a git diff that single-pass reviews miss?

Ensemble quality assurance audits artifacts using parallel critics and independent severity judges to identify correctness, safety, and workflow risks in a git diff that single-pass reviews frequently miss.

What is ensemble severity judging for code review and artifact analysis?

Ensemble severity judging uses independent Claude, OpenAI, and Gemini judges performing blind and informed passes to calibrate defect severity across technical specifications, source code, and research reports.

How do I review a technical specification for missing error paths and contract inconsistencies?

Review a technical specification for missing error paths by applying artifact-aware QA with structured state tracking, validating findings to produce a severity-ranked report highlighting contract inconsistencies.

Does deep-qa-ensemble-v1 require Claude Code agent orchestration to audit source code?

Yes, auditing source code requires Claude Code agent orchestration to execute parallel critics, manage bounded rounds, enforce hard stops, and track coverage gaps during the defect detection process.

Can I use multi-agent defect detection to check for prompt injection in artifact content?

Yes, multi-agent defect detection checks for prompt injection in artifact content. The governed execution framework detects injection attempts while validating defects and enforcing hard stops during artifact analysis.

What are the limitations of using parallel critics for research report quality assurance?

Limitations of using parallel critics for research report QA include bounded rounds capping deep analysis and coverage gaps tracked in structured state, requiring independent multi-provider judging to finalize severity rankings.