Files
Anthropic-Cybersecurity-Skills/skills/conducting-gdpr-compliance-assessment/scripts/article30_validator.py
T
dakshverma23 1934e73b7c Add GDPR compliance assessment skill
Adds comprehensive GDPR compliance assessment skill covering Article 30 records,
lawful basis validation, data subject rights, DPIAs, breach notification,
international transfers, and technical/organizational measures.

Features:
- 295-line skill body (under 500-line cap)
- 1008-char description with negative triggers (under 1024 limit)
- 9 files total, all within skill directory
- 3 production scripts: article30_parser.py, article30_validator.py, generate_ropa_report.py
- Detailed workflow, templates, and references

Negative triggers direct users to:
- implementing-gdpr-data-protection-controls for Article 32 technical controls
- implementing-gdpr-data-subject-access-request for DSAR automation

Legal basis: EU Regulation 2016/679, UK GDPR as amended by Data Protection Act 2018
and Data (Use and Access) Act 2025. Effective date: August 2026.

Validation: validate-skill.py PASS, lint-descriptions.py PASS
2026-08-24 16:05:44 +05:30

187 lines
6.8 KiB
Python

#!/usr/bin/env python3
"""
GDPR Article 30 RoPA Validator.
Validates a Records of Processing Activities (RoPA) JSON file against Article 30
mandatory fields and flags incomplete or missing entries.
Checks:
- All mandatory Article 30 fields present
- Retention periods specified (or criteria documented)
- International transfers have documented safeguards
- Special category data properly flagged
- Security measures documented
Usage:
python article30_validator.py --ropa ropa.json
python article30_validator.py --ropa ropa.json --check-retention --check-transfers --strict
"""
import argparse
import json
import sys
from datetime import datetime, timezone
MANDATORY_FIELDS = [
"purposes",
"data_subjects",
"personal_data_categories",
"recipients"
]
SPECIAL_CATEGORY_KEYWORDS = [
"health", "medical", "biometric", "genetic", "racial", "ethnic",
"political", "religious", "trade union", "sex life", "sexual orientation"
]
def validate_entry(entry, index, args):
"""Validate a single processing activity entry."""
issues = []
entry_id = entry.get("source_file", f"Entry {index}")
# Check mandatory fields
for field in MANDATORY_FIELDS:
if field not in entry or not entry[field]:
issues.append({
"severity": "ERROR",
"field": field,
"message": f"Missing mandatory field: {field}"
})
elif isinstance(entry[field], list) and len(entry[field]) == 0:
issues.append({
"severity": "ERROR",
"field": field,
"message": f"Empty list for mandatory field: {field}"
})
# Check retention period
if args.check_retention:
if "retention_period" not in entry or not entry["retention_period"]:
issues.append({
"severity": "WARNING",
"field": "retention_period",
"message": "Retention period not specified (Article 30(1)(f))"
})
elif "[TO BE COMPLETED]" in str(entry.get("retention_period", "")):
issues.append({
"severity": "WARNING",
"field": "retention_period",
"message": "Retention period placeholder not completed"
})
# Check international transfers
if args.check_transfers:
transfers = entry.get("international_transfers", [])
if len(transfers) > 0:
# Check if safeguards are documented
safeguards_mentioned = False
for transfer in transfers:
transfer_lower = str(transfer).lower()
if any(word in transfer_lower for word in ["scc", "standard contractual clause", "adequacy", "bcr", "binding corporate rule"]):
safeguards_mentioned = True
break
if not safeguards_mentioned:
issues.append({
"severity": "ERROR",
"field": "international_transfers",
"message": "International transfers identified but no safeguards documented (Chapter V)"
})
# Check for special category data without additional legal basis
personal_data_str = " ".join(entry.get("personal_data_categories", [])).lower()
if any(keyword in personal_data_str for keyword in SPECIAL_CATEGORY_KEYWORDS):
if "special_category_legal_basis" not in entry:
issues.append({
"severity": "WARNING",
"field": "special_category_legal_basis",
"message": "Possible special category data (Article 9) but no additional legal basis documented"
})
# Check security measures
if not entry.get("security_measures"):
issues.append({
"severity": "WARNING",
"field": "security_measures",
"message": "No security measures documented (Article 32)"
})
return entry_id, issues
def generate_report(results, args):
"""Generate validation report."""
total_errors = sum(1 for _, issues in results for issue in issues if issue["severity"] == "ERROR")
total_warnings = sum(1 for _, issues in results for issue in issues if issue["severity"] == "WARNING")
print(f"\n{'='*70}")
print(f"GDPR Article 30 RoPA Validation Report")
print(f"Generated: {datetime.now(timezone.utc).isoformat()}")
print(f"{'='*70}\n")
print(f"Total Entries: {len(results)}")
print(f"Total Errors: {total_errors}")
print(f"Total Warnings: {total_warnings}")
print()
if total_errors == 0 and total_warnings == 0:
print("✓ All entries passed validation")
return 0
for entry_id, issues in results:
if not issues:
continue
print(f"\n{entry_id}")
print(f"{'-'*70}")
for issue in issues:
icon = "✗" if issue["severity"] == "ERROR" else "⚠"
print(f" {icon} [{issue['severity']}] {issue['field']}: {issue['message']}")
print(f"\n{'='*70}")
if total_errors > 0:
print(f"VALIDATION FAILED: {total_errors} error(s) found")
print("Fix errors before using this RoPA for compliance purposes.")
return 1
else:
print(f"VALIDATION PASSED with {total_warnings} warning(s)")
print("Review warnings and complete missing optional fields.")
return 0
def main():
parser = argparse.ArgumentParser(description="Validate GDPR Article 30 RoPA")
parser.add_argument("--ropa", required=True, help="Path to RoPA JSON file")
parser.add_argument("--check-retention", action="store_true",
help="Validate retention periods are specified")
parser.add_argument("--check-transfers", action="store_true",
help="Validate international transfer safeguards")
parser.add_argument("--strict", action="store_true",
help="Treat warnings as errors")
args = parser.parse_args()
try:
with open(args.ropa, 'r') as f:
ropa = json.load(f)
except (OSError, json.JSONDecodeError) as e:
print(f"ERROR: Could not read RoPA file: {e}", file=sys.stderr)
return 2
processing_activities = ropa.get("processing_activities", [])
if not processing_activities:
print("ERROR: No processing activities found in RoPA", file=sys.stderr)
return 2
results = []
for i, entry in enumerate(processing_activities):
entry_id, issues = validate_entry(entry, i, args)
if args.strict:
# Promote warnings to errors in strict mode
for issue in issues:
if issue["severity"] == "WARNING":
issue["severity"] = "ERROR"
results.append((entry_id, issues))
return generate_report(results, args)
if __name__ == "__main__":
sys.exit(main())