critiquing-own-response

Analyze the preceding response for hidden assumptions, logical gaps, and AI-specific failure modes.

11|2|Updated May 7, 2026
One-click install
npx skills add https://github.com/abagames/agentic-gamedev-skills --skill critiquing-own-response
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: critiquing-own-response
Source: https://github.com/abagames/agentic-gamedev-skills/tree/main/.agents/skills/critiquing-own-response
Command: npx skills add https://github.com/abagames/agentic-gamedev-skills --skill critiquing-own-response

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows for a structured, ruthless critical self-review of the agent's own immediately preceding response, identifying hidden assumptions, logical gaps, and overlooked risks.

Core Features & Use Cases

  • Critical Self-Review: Analyzes the agent's previous response for hidden assumptions, logical gaps, and AI-specific failure modes.
  • Use Case: When the user explicitly requests critical-thinking, self-critique, or asks the agent to challenge its own prior answer.
  • Language Matching: Conducts the critique in the primary language of the immediately preceding response.

Quick Start

Invoke the critiquing-own-response skill by name and provide the agent's immediately preceding response for critique.

Frequently Asked Questions about critiquing-own-response

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

FAQPage Schema
How do I make an AI critically review its own previous response for logical gaps?

To conduct a critical self-review, invoke the skill and provide the agent's immediately preceding response. It analyzes the text for hidden assumptions, logical gaps, and AI-specific failure modes to ensure logical integrity.

What are common AI-specific failure modes to look for during self-critique?

AI-specific failure modes include unsupported foundational assumptions and logical gaps in the response's core thesis. The skill identifies these pitfalls by conducting an adversarial review of the generated content's logical integrity.

How do I perform an adversarial review of AI-generated content?

Perform an adversarial review by analyzing the response's core thesis, foundational assumptions, and logical integrity. This skill executes the structured review automatically to uncover overlooked risks in the generated text.

Can I get a critical analysis of a response in a different language?

Yes, the critical analysis matches the primary language of the immediately preceding response. It ensures the self-critique and risk mitigation feedback are conducted in the same language as the original output.

What is the best way to analyze hidden assumptions in an AI answer?

The best way to analyze hidden assumptions is through a structured critical self-review. The skill dissects the core thesis and foundational logic to expose overlooked risks and AI-specific pitfalls.

When should I use a self-critique skill for AI responses?

Use a self-critique skill when explicitly requesting critical-thinking or challenging a prior answer. It is designed for self-critique and adversarial review of AI-generated content to mitigate logical risks.