AI Security Guardrails

AI Security Guardrails 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 AI Security Guardrails

Copy AI Security Guardrails 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/implementing-llm-guardrails-for-security ~/.claude/skills/implementing-llm-guardrails-for-security

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/implementing-llm-guardrails-for-security/SKILL.md in xalgord/xalgorix
Installs to: ~/.claude/skills/implementing-llm-guardrails-for-security
Collection: One of 51 skills cataloged from this repository
Category: AI Engineering — 3670 skills

What AI Security Guardrails does

Implement input and output validation guardrails to prevent prompt injection, jailbreaks, PII leaks, and off-topic responses in LLM-powered applications.

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

Documentation

README

Excerpt

Implementing LLM Guardrails for Security

When to Use

Deploying a new LLM-powered application that processes user input and needs input/output safety controls
Adding content policy enforcement to an existing chatbot or AI agent to comply with organizational policies
Implementing PII detection and redaction in LLM pipelines handling sensitive customer data
Building topic-restricted AI assistants that must refuse off-topic or disallowed queries
Validating that LLM responses conform to expected schemas before they reach downstream systems or users
Protecting RAG pipelines from indirect prompt injection in retrieved documents

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

Frequently asked about AI Security Guardrails

What else does xalgord publish alongside AI Security Guardrails?
AI Security Guardrails is one of 51 skills that DirSkills catalogs from xalgord/xalgorix, the repository it ships in. Its siblings there include AFL++ Fuzzing, AI-Assisted Vulnerability Discovery and API Abuse Detection with Rate Limiting. Each one is a separate skill with its own page in this directory, installs the same way AI Security Guardrails does, and is maintained by xalgord in that same repository. The rest of the collection is listed on the xalgord/xalgorix page.
How does AI Security Guardrails compare to other AI Engineering skills?
AI Security Guardrails ranks #1529 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 AI Security Guardrails against them. Open each page to compare what they document and how they install.