model-dos
CommunityPrevent 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 requiredComponents
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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