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pci-compliancePCI 合规性

Agent Skill

pci-compliance 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

356

周安装

15

GitHub Stars

公开资料未说明

下载量

125
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pci-compliance(PCI 合规性)
来源仓库:https://github.com/ravinani02/opencode-agent-skills
仓库路径:skills/pci-compliance
安装命令:
npx skills add ravinani02/opencode-agent-skills --skill "pci-compliance"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add ravinani02/opencode-agent-skills --skill "pci-compliance"

简介

用于查找和筛选与 PCI 合规性相关的信息。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

  • 适合在关键词搜索、任务场景或来源线索定位时使用。
  • 可结合仓库 README 核验具体用法和实现细节。
  • 安装前建议确认权限范围及是否触发联网或文件操作。
  • pci-compliance 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

PCI Compliance

Master PCI DSS (Payment Card Industry Data Security Standard) compliance for secure payment processing and handling of cardholder data.

When to Use This Skill

  • Building payment processing systems
  • Handling credit card information
  • Implementing secure payment flows
  • Conducting PCI compliance audits
  • Reducing PCI compliance scope
  • Implementing tokenization and encryption
  • Preparing for PCI DSS assessments

PCI DSS Requirements (12 Core Requirements)

Build and Maintain Secure Network

  1. Install and maintain firewall configuration
  2. Don't use vendor-supplied defaults for passwords

Protect Cardholder Data

  1. Protect stored cardholder data
  2. Encrypt transmission of cardholder data across public networks

Maintain Vulnerability Management

  1. Protect systems against malware
  2. Develop and maintain secure systems and applications

Implement Strong Access Control

  1. Restrict access to cardholder data by business need-to-know
  2. Identify and authenticate access to system components
  3. Restrict physical access to cardholder data

Monitor and Test Networks

  1. Track and monitor all access to network resources and cardholder data
  2. Regularly test security systems and processes

Maintain Information Security Policy

  1. Maintain a policy that addresses information security

Compliance Levels

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

Data Minimization (Never Store)

# 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}")

Tokenization

Using Payment Processor Tokens

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.
        }

Custom Tokenization (Advanced)

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)

Encryption

Data at Rest

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

Data in Transit

# 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)

Access Control

from functools import wraps
from flask import session

def require_pci_access(f):
    """Decorator to restrict access to cardholder data."""
    @wraps(f)
    def decorated_function(*args, **kwargs):
        user = session.get('user')

        # Check if user has PCI access role
        if not user or 'pci_access' not in user.get('roles', []):
            return {'error': 'Unauthorized access to cardholder data'}, 403

        # Log access attempt
        audit_log(
            user=user['id'],
            action='access_cardholder_data',
            resource=f.__name__
        )

        return f(*args, **kwargs)

    return decorated_function

@app.route('/api/payment-methods')
@require_pci_access
def get_payment_methods():
    """Retrieve payment methods (restricted access)."""
    # Only accessible to users with pci_access role
    pass

Audit Logging

import logging
from datetime import datetime

class PCIAuditLogger:
    """PCI-compliant audit logging."""

    def __init__(self):
        self.logger = logging.getLogger('pci_audit')
        # Configure to write to secure, append-only log

    def log_access(self, user_id, resource, action, result):
        """Log access to cardholder data."""
        entry = {
            'timestamp': datetime.utcnow().isoformat(),
            'user_id': user_id,
            'resource': resource,
            'action': action,
            'result': result,
            'ip_address': request.remote_addr
        }

        self.logger.info(json.dumps(entry))

    def log_authentication(self, user_id, success, method):
        """Log authentication attempt."""
        entry = {
            'timestamp': datetime.utcnow().isoformat(),
            'user_id': user_id,
            'event': 'authentication',
            'success': success,
            'method': method,
            'ip_address': request.remote_addr
        }

        self.logger.info(json.dumps(entry))

# Usage
audit = PCIAuditLogger()
audit.log_access(user_id=123, resource='payment_methods', action='read', result='success')

Security Best Practices

Input Validation

import re

def validate_card_number(card_number):
    """Validate card number format (Luhn algorithm)."""
    # Remove spaces and dashes
    card_number = re.sub(r'[\s-]', '', card_number)

    # Check if all digits
    if not card_number.isdigit():
        return False

    # Luhn algorithm
    def luhn_checksum(card_num):
        def digits_of(n):
            return [int(d) for d in str(n)]

        digits = digits_of(card_num)
        odd_digits = digits[-1::-2]
        even_digits = digits[-2::-2]
        checksum = sum(odd_digits)
        for d in even_digits:
            checksum += sum(digits_of(d * 2))
        return checksum % 10

    return luhn_checksum(card_number) == 0

def sanitize_input(user_input):
    """Sanitize user input to prevent injection."""
    # Remove special characters
    # Validate against expected format
    # Escape for database queries
    pass

PCI DSS SAQ (Self-Assessment Questionnaire)

SAQ A (Least Requirements)

  • E-commerce using hosted payment page
  • No card data on your systems
  • ~20 questions

SAQ A-EP

  • E-commerce with embedded payment form
  • Uses JavaScript to handle card data
  • ~180 questions

SAQ D (Most Requirements)

  • Store, process, or transmit card data
  • Full PCI DSS requirements
  • ~300 questions

Compliance Checklist

PCI_COMPLIANCE_CHECKLIST = {
    'network_security': [
        'Firewall configured and maintained',
        'No vendor default passwords',
        'Network segmentation implemented'
    ],
    'data_protection': [
        'No storage of CVV, track data, or PIN',
        'PAN encrypted when stored',
        'PAN masked when displayed',
        'Encryption keys properly managed'
    ],
    'vulnerability_management': [
        'Anti-virus installed and updated',
        'Secure development practices',
        'Regular security patches',
        'Vulnerability scanning performed'
    ],
    'access_control': [
        'Access restricted by role',
        'Unique IDs for all users',
        'Multi-factor authentication',
        'Physical security measures'
    ],
    'monitoring': [
        'Audit logs enabled',
        'Log review process',
        'File integrity monitoring',
        'Regular security testing'
    ],
    'policy': [
        'Security policy documented',
        'Risk assessment performed',
        'Security awareness training',
        'Incident response plan'
    ]
}

Resources

  • references/data-minimization.md: Never store prohibited data
  • references/tokenization.md: Tokenization strategies
  • references/encryption.md: Encryption requirements
  • references/access-control.md: Role-based access
  • references/audit-logging.md: Comprehensive logging
  • assets/pci-compliance-checklist.md: Complete checklist
  • assets/encrypted-storage.py: Encryption utilities
  • scripts/audit-payment-system.sh: Compliance audit script

Common Violations

  1. Storing CVV: Never store card verification codes
  2. Unencrypted PAN: Card numbers must be encrypted at rest
  3. Weak Encryption: Use AES-256 or equivalent
  4. No Access Controls: Restrict who can access cardholder data
  5. Missing Audit Logs: Must log all access to payment data
  6. Insecure Transmission: Always use TLS 1.2+
  7. Default Passwords: Change all default credentials
  8. No Security Testing: Regular penetration testing required

Reducing PCI Scope

  1. Use Hosted Payments: Stripe Checkout, PayPal, etc.
  2. Tokenization: Replace card data with tokens
  3. Network Segmentation: Isolate cardholder data environment
  4. Outsource: Use PCI-compliant payment processors
  5. No Storage: Never store full card details

By minimizing systems that touch card data, you reduce compliance burden significantly.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenCode

27.51%
按下载量换算34

Cursor

23.83%
按下载量换算30

github-copilot

18.85%
按下载量换算24

Claude Code

14.05%
按下载量换算18

Antigravity

8.04%
按下载量换算10

Gemini CLI

3.38%
按下载量换算4

安全审计

暂无安全审计结果可展示。

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