model-dos

Community

Prevent LLM DoS by bounding prompts.

Authorthejefflarson
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Protects LLM endpoints from resource exhaustion by enforcing input caps, per-user throttling, and strict timeouts.

Core Features & Use Cases

  • Input length caps and token limits to bound prompts before they reach the model.
  • Per-identifier throttling to prevent abuse from a single user or API key.
  • Explicit inference deadlines to ensure timely responses even when upstreams misbehave.
  • Applicable to any service exposing an LLM API, including chatbots and multi-turn workflows.

Quick Start

Configure your LLM endpoint to enforce max tokens, rate limits, and request timeouts for incoming prompts.

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: model-dos
Download link: https://github.com/thejefflarson/soundcheck/archive/main.zip#model-dos

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