pci-compliance-v3

$npx mdskill add diegosouzapw/awesome-omni-skills/pci-compliance-v3

This public intake copy packages `plugins/antigravity-bundle-security-developer/skills/pci-compliance` from `https://github.com/sickn33/antigravity-awesome-skills` into the native Omni Skills editorial shape without hiding its origin.

SKILL.md

.github/skills/pci-compliance-v3View on GitHub ↗
---
name: pci-compliance-v3
description: "PCI Compliance workflow skill. Use this skill when the user needs Master PCI DSS (Payment Card Industry Data Security Standard) compliance for secure payment processing and handling of cardholder data and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off."
version: "0.0.1"
category: testing-security
tags: ["pci-compliance-v3", "pci-compliance", "master", "pci", "dss", "payment", "card", "industry"]
complexity: advanced
risk: caution
tools: ["codex-cli", "claude-code", "cursor", "gemini-cli", "opencode"]
source: community
author: "sickn33"
date_added: "2026-04-27"
date_updated: "2026-04-27"
---

# PCI Compliance

## Overview

This public intake copy packages `plugins/antigravity-bundle-security-developer/skills/pci-compliance` from `https://github.com/sickn33/antigravity-awesome-skills` into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the `external_source` block in `metadata.json` plus `ORIGIN.md` as the provenance anchor for review.

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

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: PCI DSS Requirements (12 Core Requirements), Compliance Levels, Data Minimization (Never Store), Tokenization, Encryption, Access Control.

## When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

- The task is unrelated to pci compliance
- You need a different domain or tool outside this scope
- Building payment processing systems
- Handling credit card information
- Implementing secure payment flows
- Conducting PCI compliance audits

## Operating Table

| Situation | Start here | Why it matters |
| --- | --- | --- |
| First-time use | `metadata.json` | Confirms repository, branch, commit, and imported path through the `external_source` block before touching the copied workflow |
| Provenance review | `ORIGIN.md` | Gives reviewers a plain-language audit trail for the imported source |
| Workflow execution | `SKILL.md` | Starts with the smallest copied file that materially changes execution |
| Supporting context | `SKILL.md` | Adds the next most relevant copied source file without loading the entire package |
| Handoff decision | `## Related Skills` | Helps the operator switch to a stronger native skill when the task drifts |

## Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Clarify goals, constraints, and required inputs.
2. Apply relevant best practices and validate outcomes.
3. Provide actionable steps and verification.
4. If detailed examples are required, open resources/implementation-playbook.md.
5. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
6. Read the overview and provenance files before loading any copied upstream support files.
7. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.

### Imported Workflow Notes

#### Imported: Instructions

- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open `resources/implementation-playbook.md`.

#### Imported: 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
3. Protect stored cardholder data
4. Encrypt transmission of cardholder data across public networks

### Maintain Vulnerability Management
5. Protect systems against malware
6. Develop and maintain secure systems and applications

### Implement Strong Access Control
7. Restrict access to cardholder data by business need-to-know
8. Identify and authenticate access to system components
9. Restrict physical access to cardholder data

### Monitor and Test Networks
10. Track and monitor all access to network resources and cardholder data
11. Regularly test security systems and processes

### Maintain Information Security Policy
12. Maintain a policy that addresses information security

## Examples

### Example 1: Ask for the upstream workflow directly

```text
Use @pci-compliance-v3 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
```

**Explanation:** This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

### Example 2: Ask for a provenance-grounded review

```text
Review @pci-compliance-v3 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
```

**Explanation:** Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

### Example 3: Narrow the copied support files before execution

```text
Use @pci-compliance-v3 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
```

**Explanation:** This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

### Example 4: Build a reviewer packet

```text
Review @pci-compliance-v3 using the copied upstream files plus provenance, then summarize any gaps before merge.
```

**Explanation:** This is useful when the PR is waiting for human review and you want a repeatable audit packet.



## Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

- Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
- Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
- Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
- Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
- Treat generated examples as scaffolding; adapt them to the concrete task before execution.
- Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.



## Troubleshooting

### Problem: The operator skipped the imported context and answered too generically

**Symptoms:** The result ignores the upstream workflow in `plugins/antigravity-bundle-security-developer/skills/pci-compliance`, fails to mention provenance, or does not use any copied source files at all.
**Solution:** Re-open `metadata.json`, `ORIGIN.md`, and the most relevant copied upstream files. Check the `external_source` block first, then restate the provenance before continuing.

### Problem: The imported workflow feels incomplete during review

**Symptoms:** Reviewers can see the generated `SKILL.md`, but they cannot quickly tell which references, examples, or scripts matter for the current task.
**Solution:** Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

### Problem: The task drifted into a different specialization

**Symptoms:** The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
**Solution:** Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.



## Related Skills

- `@ab-test-setup-v5` - Use when the work is better handled by that native specialization after this imported skill establishes context.
- `@api-security-best-practices-v3` - Use when the work is better handled by that native specialization after this imported skill establishes context.
- `@async-python-patterns-v3` - Use when the work is better handled by that native specialization after this imported skill establishes context.
- `@auth-implementation-patterns-v3` - Use when the work is better handled by that native specialization after this imported skill establishes context.

## Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

| Resource family | What it gives the reviewer | Example path |
| --- | --- | --- |
| `references` | copied reference notes, guides, or background material from upstream | `references/n/a` |
| `examples` | worked examples or reusable prompts copied from upstream | `examples/n/a` |
| `scripts` | upstream helper scripts that change execution or validation | `scripts/n/a` |
| `agents` | routing or delegation notes that are genuinely part of the imported package | `agents/n/a` |
| `assets` | supporting assets or schemas copied from the source package | `assets/n/a` |



### Imported Reference Notes

#### Imported: 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

#### Imported: 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

#### Imported: Data Minimization (Never Store)

```python
# 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}")
```

#### Imported: Tokenization

### Using Payment Processor Tokens
```python
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)
```python
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)
```

#### Imported: Encryption

### Data at Rest
```python
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
```python
# 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)
```

#### Imported: Access Control

```python
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
```

#### Imported: Audit Logging

```python
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')
```

#### Imported: Security Best Practices

### Input Validation
```python
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
```

#### Imported: 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

#### Imported: Compliance Checklist

```python
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'
    ]
}
```

#### Imported: 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

#### Imported: 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.

#### Imported: Limitations

- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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