re-audit-consolidation

Consolidate multiple audit reports into a single coverage decision with verification.

5|Updated Jun 3, 2026
One-click install
npx skills add https://github.com/rafael-fae/agent-ops-worflow --skill re-audit-consolidation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: re-audit-consolidation
Source: https://github.com/rafael-fae/agent-ops-worflow/tree/main/archive/skills/operacao/re-audit-consolidation
Command: npx skills add https://github.com/rafael-fae/agent-ops-worflow --skill re-audit-consolidation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams avoid unreliable single-agent coverage estimates by consolidating multiple independent audits into one defensible decision report. It is designed for reverse engineering and implementation review workflows where documentation, code reality, and coverage claims can drift apart.

Core Features & Use Cases

  • Independent audit consolidation: Combines findings from multiple auditors with different lenses, such as schema, UI, business logic, and APIs.
  • Coverage reconciliation: Compares conflicting percentages, explains discrepancies, and produces a consensus range with clear go/no-go guidance.
  • Drift detection: Checks planning documents against actual code to identify stale claims, verified gaps, and newly discovered issues.
  • Use case: A team has several audit reports with different coverage numbers and needs one honest, decision-ready summary before moving to implementation.

Quick Start

Ask the Skill to consolidate all audit reports for the current project into a single coverage verdict and highlight any stale claims or remaining gaps.

Frequently Asked Questions about re-audit-consolidation

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

FAQPage Schema
How do I consolidate conflicting coverage metrics from multiple audit reports?

Drift detection checks planning documents against actual filesystem state to identify stale claims, verified gaps, and newly discovered issues. It ensures documentation-versus-code drift is caught before implementation readiness reviews.

What is the best way to reconcile audit reports for reverse engineering projects?

Independent audit consolidation handles reports from multiple agents covering schema, UI, business logic, and APIs. It compares conflicting percentages and produces a consensus range with clear go/no-go guidance for implementation readiness reviews.

When do I need multi-agent audit consolidation for code coverage analysis?

Multi-agent audit consolidation works best when independent auditors report conflicting coverage numbers across schema, UI, business logic, and APIs. It reconciles these discrepancies and produces a consensus range with go/no-go recommendations.

How does drift detection work during implementation readiness reviews?

During implementation readiness reviews, drift detection checks documentation against actual filesystem state to identify stale claims and verified gaps. It ensures the final coverage decision reflects code reality rather than outdated planning documents.

Can I get a go/no-go recommendation from conflicting audit reports?

Yes, consolidating multiple independent audit reports produces go/no-go recommendations by reconciling conflicting coverage metrics and verifying actual filesystem state. This ensures the decision accounts for documentation-versus-code drift and remaining gaps.

What are the limitations of single-agent coverage estimates?

Single-agent coverage estimates become unreliable when documentation, code reality, and coverage claims drift apart. They lack the reconciled consensus range and discrepancy explanation that multi-agent audit consolidation provides for defensible decisions.