llm-app-security
CommunitySecure LLM applications
Software Engineering#input validation#application security#tenant isolation#llm security#rag security#output moderation
AuthorBagelHole
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the security vulnerabilities inherent in LLM-powered applications, ensuring robust protection against misuse and data breaches.
Core Features & Use Cases
- Input Validation: Ensures all user-provided context is safe and properly classified.
- Output Moderation: Prevents harmful, toxic, or policy-violating responses from the LLM.
- Tenant Isolation: Maintains strict boundaries between different users or tenants in data access and memory.
- Abuse Prevention: Implements rate-limiting and other measures to deter malicious usage.
- Secure RAG: Integrates security checks into the Retrieval Augmented Generation process, including malware scanning and access policy filtering.
Quick Start
Secure the LLM application by validating all user inputs and moderating LLM outputs.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: llm-app-security Download link: https://github.com/BagelHole/DevOps-Security-Agent-Skills/archive/main.zip#llm-app-security Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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