devil-advocate-auditor

Audit strategic decisions and product ideas with a three-layer adversarial framework.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/Aurora-AI/Elysiancorpfront --skill devil-advocate-auditor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: devil-advocate-auditor
Source: https://github.com/Aurora-AI/Elysiancorpfront/tree/main/.aurora/skills/devil-advocate-auditor
Command: npx skills add https://github.com/Aurora-AI/Elysiancorpfront --skill devil-advocate-auditor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Auditor adversarial, structured to identify and challenge strategic decisions and product ideas before commitment, reducing market risk and wasted resources.

Core Features & Use Cases

  • First Principles Breakdown: deconstructs ideas to fundamental assumptions and highlights the highest-risk bets.
  • Shadow Boxing: runs internal debates against a hypothetical aggressive competitor and a skeptical client to expose weaknesses.
  • Blind Spot Detection: surfaces cognitive biases, missing evidence, and inversion tests to prevent overconfidence.

Quick Start

Provide an adversarial audit of a given decision or plan and return a structured assessment with a binary verdict and actionable revisions.

Frequently Asked Questions about devil-advocate-auditor

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

FAQPage Schema
How do I audit a strategic decision for blind spots and cognitive biases?

An adversarial audit exposes flaws in strategic decisions before commitment by applying First Principles breakdown, Shadow Boxing, and Blind Spot Detection to identify cognitive biases and deliver a binary verdict with actionable revisions.

What is the best way to challenge product ideas before committing resources?

Challenging product ideas requires an adversarial audit that deconstructs pitches to fundamental assumptions and simulates internal debates against a skeptical client to surface high-risk bets and prevent wasted resources.

How does shadow boxing work for product management decision validation?

Shadow boxing for decision validation runs internal debates against a hypothetical aggressive competitor and a skeptical client, exposing strategic weaknesses in product management plans before market execution.

Can I use first principles thinking to test action plans for market risk?

First principles thinking tests action plans by deconstructing them into fundamental assumptions, highlighting the highest-risk bets to effectively reduce market risk before committing resources.

Does adversarial auditing provide a final verdict on product pitches?

Adversarial auditing provides a structured assessment concluding with a binary verdict on product pitches, alongside actionable revisions to correct identified flaws and missing evidence.

When should I not rely on first principles breakdown for decision validation?

Avoid relying solely on first principles breakdown when lacking complete market evidence, as overconfidence persists without complementary inversion tests and blind spot detection mechanisms.