think-critically

Analyze prompts for weaknesses and provide actionable recommendations.

12|Updated Feb 2, 2026

Search Tags:#risk-assessment #quality-assurance #adversarial-analysis #llm-safety #prompt-evaluation #prompt-critique

Ready to run

npx skills add https://github.com/jbrukh/skills --skill think-critically

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: think-critically
Source: https://github.com/jbrukh/skills/tree/main/skills/think-critically
Command: npx skills add https://github.com/jbrukh/skills --skill think-critically

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Rigorously evaluate prompts to anticipate LLM outputs and provide actionable recommendations.

Core Features & Use Cases

Adversarial evaluation of prompts to identify brittle assumptions and failure modes.
Guidance on improvements and risk mitigation for prompt design, safety, and reliability.
Use Case: Assess a prompt before deployment to ensure robust performance across inputs and adversarial variants.

Quick Start

Run the evaluation workflow on a given prompt to obtain a structured critique and concrete recommendations.

Frequently Asked Questions about think-critically

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

FAQPage Schema

How do I run an adversarial analysis on a prompt to find failure modes?▼

Adversarial analysis tests prompts by identifying brittle assumptions and failure modes across inputs. The evaluation workflow analyzes your prompt to reveal hidden weaknesses in expected outputs and provides structured critique with actionable recommendations.

What is prompt evaluation and when do I need it for LLM safety?▼

Prompt evaluation is the process of assessing prompts for quality, safety, and reliability before deployment. You need it to anticipate LLM outputs, mitigate risks, and ensure robust performance across professional AI workflows.

Can I use this prompt critique workflow to assess prompts before deployment?▼

Yes, the prompt critique workflow assesses prompts before deployment to ensure robust performance across inputs and adversarial variants. It enforces structured evaluation and explicit remediation steps for quality assurance.

What's the best way to identify hidden flaws in prompt design?▼

The best way to identify hidden flaws is running an adversarial evaluation workflow that rigorously tests prompt design. This reveals weaknesses in expected outputs and delivers concrete recommendations for risk mitigation and safety improvements.

Does prompt evaluation work for risk assessment in professional AI workflows?▼

Prompt evaluation applies directly to risk assessment in professional AI workflows by enforcing adversarial testing and structured evaluation. It reveals weaknesses in expected outputs to ensure quality, safety, and reliability across inputs.

Why does my prompt produce inconsistent outputs across different inputs?▼

Inconsistent outputs often stem from brittle assumptions and hidden flaws in prompt design. Adversarial prompt evaluation identifies these failure modes and provides explicit remediation steps to improve reliability across varied inputs.