llm-app-security

Implement security controls and rate limiting for production LLM applications.

15|Updated May 12, 2026

Search Tags:#security #rate limiting #llm #incident response #audit logging #PII redaction #operational controls

Ready to run

npx skills add https://github.com/GoldenWing-360/claude-security-skills --skill llm-app-security-goldenwing-360

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: llm-app-security
Source: https://github.com/GoldenWing-360/claude-security-skills/tree/main/llm-app-security
Command: npx skills add https://github.com/GoldenWing-360/claude-security-skills --skill llm-app-security-goldenwing-360

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers implement operational controls and security measures for applications built on LLMs, protecting against abuse, leaks, and cost overruns.

Core Features & Use Cases

Mapping Security Risks: Provides practical controls for OWASP LLM Top 10 issues, including prompt injection and information disclosure.
Monitoring & Enforcement: Suggests rate limiting, cost caps, PII redaction, and audit logging to safeguard production deployments.
Use Case: When deploying an LLM feature, review its security posture, set appropriate limits, and monitor for attacks or misuse to ensure safe operation.

Quick Start

Apply operational security controls to your LLM service to prevent abuse and enforce compliance.

Frequently Asked Questions about llm-app-security

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

FAQPage Schema

How do I prevent prompt injection and sensitive information disclosure in my LLM application?▼

To prevent prompt injection and information disclosure in your LLM application, implement practical controls mapped to the OWASP LLM Top 10, including PII redaction and strict operational security boundaries.

What are the best operational controls to stop LLM API cost overruns and abuse in production?▼

The best operational controls to stop LLM API cost overruns and abuse involve enforcing strict rate limiting, setting hard cost caps, and utilizing audit logging to monitor production deployments.

How do I set up incident response and monitoring for a production LLM service?▼

Set up incident response for a production LLM service by configuring audit logging to track usage, monitoring for misuse or attacks, and defining incident response workflows to ensure safe operation.

Do I need prior API security knowledge to implement operational controls for an LLM deployment?▼

Yes, you need prior knowledge of API security and operational controls to effectively map LLM security risks, configure PII redaction, and implement safety measures for your production LLM deployment.

How does PII redaction work when securing an LLM application against information leaks?▼

PII redaction secures an LLM application against information leaks by filtering sensitive data out of prompts and responses before logging or processing, ensuring compliance and preventing accidental disclosures.

Are there limitations to relying solely on rate limiting for LLM application security?▼

Relying solely on rate limiting leaves LLM application security incomplete; you must also apply cost caps, PII redaction, audit logging, and incident response protocols to mitigate complex OWASP LLM risks.