api-security-hardening
Comprehensive security middleware for REST APIs covering authentication, rate limiting, input validation, and attack prevention.
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What it does
Implements multiple security layers: helmet for HTTP headers, rate limiting, CORS configuration, input sanitization, and XSS/HPP protection
Supports Node.js/Express and Python FastAPI with reference implementations for each framework
Includes JWT-based authentication, input validation with sanitization, and security event logging
Provides best practices
Installation Guide
How to use api-security-hardening on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
api-security-hardening
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches api-security-hardening from aj-geddes/useful-ai-prompts and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate api-security-hardening. Access via /api-security-hardening in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
API Security Hardening
Table of Contents
Overview
Implement comprehensive API security measures including authentication, authorization, rate limiting, input validation, and attack prevention to protect against common vulnerabilities.
When to Use
- New API development
- Security audit remediation
- Production API hardening
- Compliance requirements
- High-traffic API protection
- Public API exposure
Quick Start
Minimal working example:
// secure-api.js - Comprehensive API security
const express = require("express");
const helmet = require("helmet");
const rateLimit = require("express-rate-limit");
const mongoSanitize = require("express-mongo-sanitize");
const xss = require("xss-clean");
const hpp = require("hpp");
const cors = require("cors");
const jwt = require("jsonwebtoken");
const validator = require("validator");
class SecureAPIServer {
constructor() {
this.app = express();
this.setupSecurityMiddleware();
this.setupRoutes();
}
setupSecurityMiddleware() {
// 1. Helmet - Set security headers
this.app.use(
helmet({
contentSecurityPolicy: {
directives: {
defaultSrc: ["'self'"],
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Node.js/Express API Security | Node.js/Express API Security |
| Python FastAPI Security | Python FastAPI Security |
| API Gateway Security Configuration | API Gateway Security Configuration |
Best Practices
✅ DO
- Use HTTPS everywhere
- Implement rate limiting
- Validate all inputs
- Use security headers
- Log security events
- Implement CORS properly
- Use strong authentication
- Version your APIs
❌ DON'T
- Expose stack traces
- Return detailed errors
- Trust user input
- Use HTTP for APIs
- Skip input validation
- Ignore rate limiting
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Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Related Skills
rest-api-design
7aj-geddes/useful-ai-prompts
root-cause-analysis
8aj-geddes/useful-ai-prompts
improve
68shadcn/improve
laravel-security-audit
16sickn33/antigravity-awesome-skills
frontend-security
10schalkneethling/webdev-agent-skills
typescript-best-practices
96jwynia/agent-skills
Reviews
- KKabir Wang★★★★★Dec 12, 2024
api-security-hardening reduced setup friction for our internal harness; good balance of opinion and flexibility.
- DDhruvi Jain★★★★★Dec 8, 2024
Solid pick for teams standardizing on skills: api-security-hardening is focused, and the summary matches what you get after install.
- OOshnikdeep★★★★★Nov 27, 2024
We added api-security-hardening from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- DDiya Gonzalez★★★★★Nov 15, 2024
Keeps context tight: api-security-hardening is the kind of skill you can hand to a new teammate without a long onboarding doc.
- AAmina Huang★★★★★Nov 3, 2024
I recommend api-security-hardening for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- KKabir Chen★★★★★Oct 22, 2024
Useful defaults in api-security-hardening — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- GGanesh Mohane★★★★★Oct 18, 2024
api-security-hardening fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- EEvelyn Thompson★★★★★Oct 6, 2024
api-security-hardening is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- MMaya Gupta★★★★★Sep 17, 2024
Solid pick for teams standardizing on skills: api-security-hardening is focused, and the summary matches what you get after install.
- KKabir Ndlovu★★★★★Sep 13, 2024
api-security-hardening has been reliable in day-to-day use. Documentation quality is above average for community skills.
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