An AI-driven tool to generate production-ready rate limiting middleware and configurations from simple natural language descriptions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rate-limiter
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install rate-limiter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Rate Limiter Generator?
The Rate Limiter Generator is a specialized utility within the Openclaw Skills ecosystem designed to secure APIs without the friction of manual configuration. By translating natural language prompts into executable code, it allows developers to implement robust protection measures like IP-based throttling, tiered access for different user segments, and Redis-backed distributed limiting.
This skill streamlines the process of adding security layers to applications, ensuring that developers can focus on core logic while maintaining a high standard of protection against scrapers and brute-force attacks. It acts as an intelligent bridge between security requirements and implementation code, making it an essential part of the Openclaw Skills library for modern web development.
Rate Limiter Generator Use Cases
- Implementing immediate API protection during a product launch to prevent accidental or intentional DOS.
- Mitigating automated scraper activity or brute-force login attempts on sensitive endpoints.
- Setting up tiered usage limits for different subscription levels in a SaaS application.
- Protecting resource-intensive backend operations from excessive calls to keep infrastructure costs low.
How Rate Limiter Generator Works
- The user provides a natural language description of their rate limiting requirements via the Openclaw Skills command interface.
- The AI engine parses the request to identify specific rate limits, time windows, and identity identifiers such as IP addresses or API keys.
- A production-ready middleware configuration is generated, compatible with popular frameworks like Express.
- If specified, the tool incorporates logic for storage backends like Redis to support distributed systems and serverless environments.
- The generated output includes the necessary response headers to ensure clients are informed of their current usage status.
Rate Limiter Generator Setup
No permanent installation is strictly required as the skill runs directly via npx. Ensure you have Node.js 18 or higher installed on your system to utilize these Openclaw Skills. To start generating configurations, use the following command structure:
npx ai-rate-limit "100 requests per minute per user"
To view all available options including storage and algorithm flags, run:
npx ai-rate-limit --help
Rate Limiter Generator Data Schema & Taxonomy
This skill generates code blocks and configuration objects that follow standard middleware patterns. The primary outputs are organized as follows:
| Component | Description |
|---|---|
| Middleware Code | JavaScript or TypeScript code snippets for Express or similar web frameworks. |
| Config Object | JSON or JS objects containing windowMs, max, and message properties for the limiter. |
| Store Config | Redis or database connection strings and store initialization logic for persistent state. |
| Response Headers | Logic for standardizing X-RateLimit-Limit and X-RateLimit-Remaining headers in responses. |
Rate Limiter Generator Advanced Features
- Redis-backed storage support for maintaining consistent limits across multiple server instances or clusters.
- Support for sliding window algorithms to prevent traffic bursts at the boundaries of fixed windows.
- Tiered limiting strategies that allow for differentiating between free, pro, and enterprise API consumers within one config.
- Custom key generators for implementing complex identity logic such as user-ID-based or organization-based tracking.
- Automated generation of client-facing rate limit headers to help front-end applications behave predictably.
SKILL.md
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