llamafile-local-model-security

Community

Secure local llamafile deployments.

Authormaruakshay
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Local llamafile deployments can introduce unsafe model artifact handling, an exposed HTTP server surface, and insufficient access controls, risking data exposure and code execution on a single-binary inference endpoint.

Core Features & Use Cases

  • Review artifact integrity and provenance for local model artifacts.
  • Assess network exposure and access controls on the built-in HTTP API.
  • Apply guards and best practices for secure local inference in development and production environments.
  • Use Case: A team ships a single-binary model server; this guide helps verify checksums, restrictive binding, service accounts, and minimal surface exposure before deployment.

Quick Start

Run a security review of your llamafile deployment to verify model integrity, access controls, and network exposure.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: llamafile-local-model-security
Download link: https://github.com/maruakshay/mii-ai-security/archive/main.zip#llamafile-local-model-security

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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