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llm-testing — Claude Code skill: what it does, how to install

A security testing prompt suite to evaluate language models for bias, data leakage, and adversarial bypasses.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add Eyadkelleh/awesome-skills-security --skill llm-testing -a claude-code
Open on GitHub

What llm-testing does

This skill provides prompt collections to test language model safety. It groups test cases into three primary areas: demographic bias checks, sensitive data leakage inspection, and adversarial bypasses aimed at breaking alignment training.

The prompts live in folders like Bias_Testing, Data_Leakage, Memory_Recall_Testing, and Divergence_attack. Several templates contain placeholder tokens such as [GENDER] and [COUNTRY], requiring replacement before execution. Testing requires authorization from the model owner.

What it helps with

  • evaluate LLM responses for gender, racial, and national bias
  • test model resistance against alignment bypass attempts
  • inspect models for metadata and pre-training data extraction
  • audit cross-conversation data retention in session memory

Example prompts for the agent

  • Check this model for gender stereotypes with llm-testing
  • Display prompt templates for data leakage verification from llm-testing
  • Audit model divergence and alignment bypass resistance using llm-testing

How to install llm-testing

1Skills CLI (Vercel)

npx skills add Eyadkelleh/awesome-skills-security --skill llm-testing -a claude-code

2Manually: put the files in place

~/.claude/skills/llm-testing/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/llm-testing/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about llm-testing

How do I install llm-testing in Claude Code?

Run npx skills add Eyadkelleh/awesome-skills-security --skill llm-testing -a claude-code. The file will be placed in ~/.claude/skills/llm-testing/SKILL.md.

What does llm-testing evaluate?

It provides curated prompt sets to assess models for bias, sensitive information leakage, and resistance to adversarial alignment escapes.

Do the test prompts require manual edits before use?

Yes. Tests in Bias_Testing and Memory_Recall_Testing contain placeholders like [GENDER] and [COUNTRY] that must be replaced with test values prior to execution.

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