Security Review logo

Security Review

OrganizationPopular
WorldFlowAI
security-review

Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.

Overview

PublisherWorldFlowAI
Repositoryeverything-claude-code
Skill namesecurity-review
Stars
3.1K
Forks
484
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by WorldFlowAI on GitHub. Read the source before you install it.

Installation

Install the Security Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/WorldFlowAI/everything-claude-code.git /tmp/everything-claude-code
mkdir -p .claude/skills
cp -r /tmp/everything-claude-code/skills/security-review .claude/skills/security-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Security Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Security Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Security Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Security Review Skill

This skill ensures all code follows security best practices and identifies potential vulnerabilities.

When to Activate

  • Implementing authentication or authorization
  • Handling user input or file uploads
  • Creating new API endpoints
  • Working with secrets or credentials
  • Implementing payment features
  • Storing or transmitting sensitive data
  • Integrating third-party APIs

Security Checklist

1. Secrets Management

❌ NEVER Do This
typescript
const apiKey = "sk-proj-xxxxx"  // Hardcoded secret
const dbPassword = "password123" // In source code
✅ ALWAYS Do This
typescript
const apiKey = process.env.OPENAI_API_KEY
const dbUrl = process.env.DATABASE_URL

// Verify secrets exist
if (!apiKey) {
  throw new Error('OPENAI_API_KEY not configured')
}
Verification Steps
  • No hardcoded API keys, tokens, or passwords
  • All secrets in environment variables
  • .env.local in .gitignore
  • No secrets in git history
  • Production secrets in hosting platform (Vercel, Railway)

2. Input Validation

Always Validate User Input
typescript
import { z } from 'zod'

// Define validation schema
const CreateUserSchema = z.object({
  email: z.string().email(),
  name: z.string().min(1).max(100),
  age: z.number().int().min(0).max(150)
})

// Validate before processing
export async function createUser(input: unknown) {
  try {
    const validated = CreateUserSchema.parse(input)
    return await db.users.create(validated)
  } catch (error) {
    if (error instanceof z.ZodError) {
      return { success: false, errors: error.errors }
    }
    throw error
  }
}
File Upload Validation
typescript
function validateFileUpload(file: File) {
  // Size check (5MB max)
  const maxSize = 5 * 1024 * 1024
  if (file.size > maxSize) {
    throw new Error('File too large (max 5MB)')
  }

  // Type check
  const allowedTypes = ['image/jpeg', 'image/png', 'image/gif']
  if (!allowedTypes.includes(file.type)) {
    throw new Error('Invalid file type')
  }

  // Extension check
  const allowedExtensions = ['.jpg', '.jpeg', '.png', '.gif']
  const extension = file.name.toLowerCase().match(/\.[^.]+$/)?.[0]
  if (!extension || !allowedExtensions.includes(extension)) {
    throw new Error('Invalid file extension')
  }

  return true
}
Verification Steps
  • All user inputs validated with schemas
  • File uploads restricted (size, type, extension)
  • No direct use of user input in queries
  • Whitelist validation (not blacklist)
  • Error messages don't leak sensitive info

3. SQL Injection Prevention

❌ NEVER Concatenate SQL
typescript
// DANGEROUS - SQL Injection vulnerability
const query = `SELECT * FROM users WHERE email = '${userEmail}'`
await db.query(query)
✅ ALWAYS Use Parameterized Queries
typescript
// Safe - parameterized query
const { data } = await supabase
  .from('users')
  .select('*')
  .eq('email', userEmail)

// Or with raw SQL
await db.query(
  'SELECT * FROM users WHERE email = $1',
  [userEmail]
)
Verification Steps
  • All database queries use parameterized queries
  • No string concatenation in SQL
  • ORM/query builder used correctly
  • Supabase queries properly sanitized

4. Authentication & Authorization

JWT Token Handling
typescript
// ❌ WRONG: localStorage (vulnerable to XSS)
localStorage.setItem('token', token)

// ✅ CORRECT: httpOnly cookies
res.setHeader('Set-Cookie',
  `token=${token}; HttpOnly; Secure; SameSite=Strict; Max-Age=3600`)
Authorization Checks
typescript
export async function deleteUser(userId: string, requesterId: string) {
  // ALWAYS verify authorization first
  const requester = await db.users.findUnique({
    where: { id: requesterId }
  })

  if (requester.role !== 'admin') {
    return NextResponse.json(
      { error: 'Unauthorized' },
      { status: 403 }
    )
  }

  // Proceed with deletion
  await db.users.delete({ where: { id: userId } })
}
Row Level Security (Supabase)
sql
-- Enable RLS on all tables
ALTER TABLE users ENABLE ROW LEVEL SECURITY;

-- Users can only view their own data
CREATE POLICY "Users view own data"
  ON users FOR SELECT
  USING (auth.uid() = id);

-- Users can only update their own data
CREATE POLICY "Users update own data"
  ON users FOR UPDATE
  USING (auth.uid() = id);
Verification Steps
  • Tokens stored in httpOnly cookies (not localStorage)
  • Authorization checks before sensitive operations
  • Row Level Security enabled in Supabase
  • Role-based access control implemented
  • Session management secure

5. XSS Prevention

Sanitize HTML
typescript
import DOMPurify from 'isomorphic-dompurify'

// ALWAYS sanitize user-provided HTML
function renderUserContent(html: string) {
  const clean = DOMPurify.sanitize(html, {
    ALLOWED_TAGS: ['b', 'i', 'em', 'strong', 'p'],
    ALLOWED_ATTR: []
  })
  return <div dangerouslySetInnerHTML={{ __html: clean }} />
}
Content Security Policy
typescript
// next.config.js
const securityHeaders = [
  {
    key: 'Content-Security-Policy',
    value: `
      default-src 'self';
      script-src 'self' 'unsafe-eval' 'unsafe-inline';
      style-src 'self' 'unsafe-inline';
      img-src 'self' data: https:;
      font-src 'self';
      connect-src 'self' https://api.example.com;
    `.replace(/\s{2,}/g, ' ').trim()
  }
]
Verification Steps
  • User-provided HTML sanitized
  • CSP headers configured
  • No unvalidated dynamic content rendering
  • React's built-in XSS protection used

6. CSRF Protection

CSRF Tokens
typescript
import { csrf } from '@/lib/csrf'

export async function POST(request: Request) {
  const token = request.headers.get('X-CSRF-Token')

  if (!csrf.verify(token)) {
    return NextResponse.json(
      { error: 'Invalid CSRF token' },
      { status: 403 }
    )
  }

  // Process request
}
SameSite Cookies
typescript
res.setHeader('Set-Cookie',
  `session=${sessionId}; HttpOnly; Secure; SameSite=Strict`)
Verification Steps
  • CSRF tokens on state-changing operations
  • SameSite=Strict on all cookies
  • Double-submit cookie pattern implemented

7. Rate Limiting

API Rate Limiting
typescript
import rateLimit from 'express-rate-limit'

const limiter = rateLimit({
  windowMs: 15 * 60 * 1000, // 15 minutes
  max: 100, // 100 requests per window
  message: 'Too many requests'
})

// Apply to routes
app.use('/api/', limiter)
Expensive Operations
typescript
// Aggressive rate limiting for searches
const searchLimiter = rateLimit({
  windowMs: 60 * 1000, // 1 minute
  max: 10, // 10 requests per minute
  message: 'Too many search requests'
})

app.use('/api/search', searchLimiter)
Verification Steps
  • Rate limiting on all API endpoints
  • Stricter limits on expensive operations
  • IP-based rate limiting
  • User-based rate limiting (authenticated)

8. Sensitive Data Exposure

Logging
typescript
// ❌ WRONG: Logging sensitive data
console.log('User login:', { email, password })
console.log('Payment:', { cardNumber, cvv })

// ✅ CORRECT: Redact sensitive data
console.log('User login:', { email, userId })
console.log('Payment:', { last4: card.last4, userId })
Error Messages
typescript
// ❌ WRONG: Exposing internal details
catch (error) {
  return NextResponse.json(
    { error: error.message, stack: error.stack },
    { status: 500 }
  )
}

// ✅ CORRECT: Generic error messages
catch (error) {
  console.error('Internal error:', error)
  return NextResponse.json(
    { error: 'An error occurred. Please try again.' },
    { status: 500 }
  )
}
Verification Steps
  • No passwords, tokens, or secrets in logs
  • Error messages generic for users
  • Detailed errors only in server logs
  • No stack traces exposed to users

9. Blockchain Security (Solana)

Wallet Verification
typescript
import { verify } from '@solana/web3.js'

async function verifyWalletOwnership(
  publicKey: string,
  signature: string,
  message: string
) {
  try {
    const isValid = verify(
      Buffer.from(message),
      Buffer.from(signature, 'base64'),
      Buffer.from(publicKey, 'base64')
    )
    return isValid
  } catch (error) {
    return false
  }
}
Transaction Verification
typescript
async function verifyTransaction(transaction: Transaction) {
  // Verify recipient
  if (transaction.to !== expectedRecipient) {
    throw new Error('Invalid recipient')
  }

  // Verify amount
  if (transaction.amount > maxAmount) {
    throw new Error('Amount exceeds limit')
  }

  // Verify user has sufficient balance
  const balance = await getBalance(transaction.from)
  if (balance < transaction.amount) {
    throw new Error('Insufficient balance')
  }

  return true
}
Verification Steps
  • Wallet signatures verified
  • Transaction details validated
  • Balance checks before transactions
  • No blind transaction signing

10. Dependency Security

Regular Updates
bash
# Check for vulnerabilities
npm audit

# Fix automatically fixable issues
npm audit fix

# Update dependencies
npm update

# Check for outdated packages
npm outdated
Lock Files
bash
# ALWAYS commit lock files
git add package-lock.json

# Use in CI/CD for reproducible builds
npm ci  # Instead of npm install
Verification Steps
  • Dependencies up to date
  • No known vulnerabilities (npm audit clean)
  • Lock files committed
  • Dependabot enabled on GitHub
  • Regular security updates

Security Testing

Automated Security Tests

typescript
// Test authentication
test('requires authentication', async () => {
  const response = await fetch('/api/protected')
  expect(response.status).toBe(401)
})

// Test authorization
test('requires admin role', async () => {
  const response = await fetch('/api/admin', {
    headers: { Authorization: `Bearer ${userToken}` }
  })
  expect(response.status).toBe(403)
})

// Test input validation
test('rejects invalid input', async () => {
  const response = await fetch('/api/users', {
    method: 'POST',
    body: JSON.stringify({ email: 'not-an-email' })
  })
  expect(response.status).toBe(400)
})

// Test rate limiting
test('enforces rate limits', async () => {
  const requests = Array(101).fill(null).map(() =>
    fetch('/api/endpoint')
  )

  const responses = await Promise.all(requests)
  const tooManyRequests = responses.filter(r => r.status === 429)

  expect(tooManyRequests.length).toBeGreaterThan(0)
})

Pre-Deployment Security Checklist

Before ANY production deployment:

  • Secrets: No hardcoded secrets, all in env vars
  • Input Validation: All user inputs validated
  • SQL Injection: All queries parameterized
  • XSS: User content sanitized
  • CSRF: Protection enabled
  • Authentication: Proper token handling
  • Authorization: Role checks in place
  • Rate Limiting: Enabled on all endpoints
  • HTTPS: Enforced in production
  • Security Headers: CSP, X-Frame-Options configured
  • Error Handling: No sensitive data in errors
  • Logging: No sensitive data logged
  • Dependencies: Up to date, no vulnerabilities
  • Row Level Security: Enabled in Supabase
  • CORS: Properly configured
  • File Uploads: Validated (size, type)
  • Wallet Signatures: Verified (if blockchain)

Resources


Remember: Security is not optional. One vulnerability can compromise the entire platform. When in doubt, err on the side of caution.

Frequently asked questions

What does the Security Review AI skill do?

Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.

Why use Security Review on TypingMind?

Because you install it once and use it with any model. Security Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Security Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WorldFlowAI/everything-claude-code/tree/main/skills/security-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Security Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Security Review?

As many as you like. As long as a model supports skills, you can use Security Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Security Review AI skill free?

It is published on GitHub by WorldFlowAI. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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