LLM Testing Skill

Description

Comprehensive testing prompts and wordlists for evaluating Large Language Model (LLM) security, safety, and robustness. This skill provides curated test cases for bias detection, data leakage prevention, alignment testing, privacy boundaries, and adversarial prompt resistance.

Purpose

This skill is designed for security researchers, AI safety engineers, and red team operators to assess LLM vulnerabilities and ensure models:

• Maintain ethical boundaries and safety guidelines
• Avoid data leakage and privacy violations
• Resist bias and discrimination
• Prevent adversarial prompt attacks
• Maintain alignment with intended behavior

Authorized Use Cases