Implement PCI DSS compliance requirements for secure handling of payment card data and payment systems. Use when securing payment processing, achieving PCI compliance, or implementing payment card security measures.
| name | pci-compliance |
| description | Implement PCI DSS compliance requirements for secure handling of payment card data and payment systems. Use when securing payment processing, achieving PCI compliance, or implementing payment card security measures. |
Master PCI DSS (Payment Card Industry Data Security Standard) compliance for secure payment processing and handling of cardholder data.
Level 1: > 6 million transactions/year (annual ROC required) Level 2: 1-6 million transactions/year (annual SAQ) Level 3: 20,000-1 million e-commerce transactions/year Level 4: < 20,000 e-commerce or < 1 million total transactions
# NEVER STORE THESE
PROHIBITED_DATA = {
'full_track_data': 'Magnetic stripe data',
'cvv': 'Card verification code/value',
'pin': 'PIN or PIN block'
}
# CAN STORE (if encrypted)
ALLOWED_DATA = {
'pan': 'Primary Account Number (card number)',
'cardholder_name': 'Name on card',
'expiration_date': 'Card expiration',
'service_code': 'Service code'
}
class PaymentData:
"""Safe payment data handling."""
def __init__(self):
self.prohibited_fields = ['cvv', 'cvv2', 'cvc', 'pin']
def sanitize_log(self, data):
"""Remove sensitive data from logs."""
sanitized = data.copy()
# Mask PAN
if 'card_number' in sanitized:
card = sanitized['card_number']
sanitized['card_number'] = f"{card[:6]}{'*' * (len(card) - 10)}{card[-4:]}"
# Remove prohibited data
for field in self.prohibited_fields:
sanitized.pop(field, None)
return sanitized
def validate_no_prohibited_storage(self, data):
"""Ensure no prohibited data is being stored."""
for field in self.prohibited_fields:
if field in data:
raise SecurityError(f"Attempting to store prohibited field: {field}")
import stripe
class TokenizedPayment:
"""Handle payments using tokens (no card data on server)."""
@staticmethod
def create_payment_method_token(card_details):
"""Create token from card details (client-side only)."""
# THIS SHOULD ONLY BE DONE CLIENT-SIDE WITH STRIPE.JS
# NEVER send card details to your server
"""
// Frontend JavaScript
const stripe = Stripe('pk_...');
const {token, error} = await stripe.createToken({
card: {
number: '4242424242424242',
exp_month: 12,
exp_year: 2024,
cvc: '123'
}
});
// Send token.id to server (NOT card details)
"""
pass
@staticmethod
def charge_with_token(token_id, amount):
"""Charge using token (server-side)."""
# Your server only sees the token, never the card number
stripe.api_key = "sk_..."
charge = stripe.Charge.create(
amount=amount,
currency="usd",
source=token_id, # Token instead of card details
description="Payment"
)
return charge
@staticmethod
def store_payment_method(customer_id, payment_method_token):
"""Store payment method as token for future use."""
stripe.Customer.modify(
customer_id,
source=payment_method_token
)
# Store only customer_id and payment_method_id in your database
# NEVER store actual card details
return {
'customer_id': customer_id,
'has_payment_method': True
# DO NOT store: card number, CVV, etc.
}
import secrets
from cryptography.fernet import Fernet
class TokenVault:
"""Secure token vault for card data (if you must store it)."""
def __init__(self, encryption_key):
self.cipher = Fernet(encryption_key)
self.vault = {} # In production: use encrypted database
def tokenize(self, card_data):
"""Convert card data to token."""
# Generate secure random token
token = secrets.token_urlsafe(32)
# Encrypt card data
encrypted = self.cipher.encrypt(json.dumps(card_data).encode())
# Store token -> encrypted data mapping
self.vault[token] = encrypted
return token
def detokenize(self, token):
"""Retrieve card data from token."""
encrypted = self.vault.get(token)
if not encrypted:
raise ValueError("Token not found")
# Decrypt
decrypted = self.cipher.decrypt(encrypted)
return json.loads(decrypted.decode())
def delete_token(self, token):
"""Remove token from vault."""
self.vault.pop(token, None)
from cryptography.hazmat.primitives.ciphers.aead import AESGCM
import os
class EncryptedStorage:
"""Encrypt data at rest using AES-256-GCM."""
def __init__(self, encryption_key):
"""Initialize with 256-bit key."""
self.key = encryption_key # Must be 32 bytes
def encrypt(self, plaintext):
"""Encrypt data."""
# Generate random nonce
nonce = os.urandom(12)
# Encrypt
aesgcm = AESGCM(self.key)
ciphertext = aesgcm.encrypt(nonce, plaintext.encode(), None)
# Return nonce + ciphertext
return nonce + ciphertext
def decrypt(self, encrypted_data):
"""Decrypt data."""
# Extract nonce and ciphertext
nonce = encrypted_data[:12]
ciphertext = encrypted_data[12:]
# Decrypt
aesgcm = AESGCM(self.key)
plaintext = aesgcm.decrypt(nonce, ciphertext, None)
return plaintext.decode()
# Usage
storage = EncryptedStorage(os.urandom(32))
encrypted_pan = storage.encrypt("4242424242424242")
# Store encrypted_pan in database
# Always use TLS 1.2 or higher
# Flask/Django example
app.config['SESSION_COOKIE_SECURE'] = True # HTTPS only
app.config['SESSION_COOKIE_HTTPONLY'] = True
app.config['SESSION_COOKIE_SAMESITE'] = 'Strict'
# Enforce HTTPS
from flask_talisman import Talisman
Talisman(app, force_https=True)
More detailed templates and worked examples live in references/details.md. Read that file for the full pattern library.
Schedule and publish social media posts across 13 platforms (X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, Pinterest) via the SocialClaw API. Use when the user wants to publish, schedule, or manage social media content programmatically. Requires SOCIALCLAW_API_KEY.
Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing accessible design patterns.
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.