LLM Prompt Injection Testing

LLM Prompt Injection Testing is an AI Engineering skill for Claude Code, published by xalgord in xalgorix.

852 stars151 forkson xalgord/xalgorixAdded 2026/07/20+1% in starsRepository updated 2026/08/04

ai-agentai-securityautomationautonomous-pentestingbug-bountycybersecurityethical-hackinggolangpenetration-testingpentestpentesting-toolsreconsecuritysecurity-researchsecurity-toolstypescriptvulnerability-detectionvulnerability-scanner

Install in seconds

Install LLM Prompt Injection Testing

Copy LLM Prompt Injection Testing into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/xalgorix/xalgorix/tree/main/internal/tools/skills/data/ai-security/testing-llm-prompt-injection-and-jailbreaks ~/.claude/skills/testing-llm-prompt-injection-and-jailbreaks

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/xalgorix/xalgorix.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: internal/tools/skills/data/ai-security/testing-llm-prompt-injection-and-jailbreaks/SKILL.md in xalgord/xalgorix
Installs to: ~/.claude/skills/testing-llm-prompt-injection-and-jailbreaks
Collection: One of 51 skills cataloged from this repository
Category: AI Engineering — 3670 skills

What LLM Prompt Injection Testing does

Tests LLM-backed apps, chatbots, and agents for direct and indirect prompt injection, jailbreaks, prompt leakage, and tool abuse. Use it during authorized security assessments of systems that mix trusted prompts with untrusted inputs or actions.

LLM Prompt Injection Testing is cataloged under AI Engineering on DirSkills. LLM Prompt Injection Testing comes from a repository tagged ai-agent, ai-security, automation, autonomous-pentesting and bug-bounty.

Documentation

README

Excerpt

Testing LLM Prompt Injection and Jailbreaks

When to Use

During authorized assessments of chatbots, copilots, RAG systems, and autonomous AI agents
When the application mixes a trusted system prompt with untrusted user input or external content
When the LLM consumes attacker-influencable data (web pages, emails, files, repo issues, tool output)
When the model can call tools/functions or take actions (send email, run code, open PRs)
When validating system-prompt confidentiality, content guardrails, and output handling

Prerequisites

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LLM Prompt Injection Testing

What else does xalgord publish alongside LLM Prompt Injection Testing?
LLM Prompt Injection Testing is one of 51 skills that DirSkills catalogs from xalgord/xalgorix, the repository it ships in. Its siblings there include AFL++ Fuzzing, AI Security Guardrails and AI-Assisted Vulnerability Discovery. Each one is a separate skill with its own page in this directory, installs the same way LLM Prompt Injection Testing does, and is maintained by xalgord in that same repository. The rest of the collection is listed on the xalgord/xalgorix page.
How does LLM Prompt Injection Testing compare to other AI Engineering skills?
LLM Prompt Injection Testing ranks #1532 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LLM Prompt Injection Testing against them. Open each page to compare what they document and how they install.