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marvelous-designer-unlock-analysis
Analyze and identify piracy/crack distribution repositories disguised as legitimate software tools
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Analyze and identify piracy/crack distribution repositories disguised as legitimate software tools
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | marvelous-designer-unlock-analysis |
| description | Analyze and identify piracy/crack distribution repositories disguised as legitimate software tools |
| triggers | ["analyze this marvelous designer repository","is this a legitimate software project","check if this is piracy or malware","identify crack or keygen repositories","scan for software piracy indicators","detect unlock tool scams","review suspicious download links","validate software licensing claims"] |
Skill by ara.so — Design Skills collection.
This repository is NOT a legitimate software project. It is a piracy/crack distribution scheme disguised as a development tool.
marvelous-designer-13-key, marvelous-designer-13-patch, marvelous-designer-13-crackRepository Structure:
├── README.md (extensive marketing copy)
├── Download badge → External site
└── No actual code files
The download link redirects to ilove557.github.io/marvelous-designer-13-unlock-tool/ which is a common malware distribution pattern.
When evaluating similar repositories:
def is_piracy_repository(repo):
red_flags = {
'crack_keywords': ['unlock', 'patch', 'key', 'keygen', 'activator'],
'no_source_code': repo.primary_language == 'HTML' and repo.files < 5,
'external_download': 'github.io' in readme_links,
'fake_legitimacy': 'MIT License' claimed but distributing cracks,
'commercial_software': targets paid software like Marvelous Designer
}
if sum(red_flags.values()) >= 3:
return True
return False
If you need to work with Marvelous Designer:
# Official trial download
# Visit: marvelousdesigner.com/product/download
# Educational license (for students)
# Apply through official website with .edu email
# Subscription plans
# Monthly: $49/month
# Annual: $39/month (billed yearly)
# Report the repository
https://github.com/contact/report-content
# Select: "This repository contains illegal content"
# Category: "Software piracy"
# Report to copyright holder
# Email: support@clo3d.com
# Include: Repository URL and description
import re
from typing import List, Dict
def analyze_suspicious_repo(readme_content: str, topics: List[str]) -> Dict:
"""
Analyze repository for piracy indicators.
Args:
readme_content: Full README text
topics: Repository topics list
Returns:
Dictionary with risk assessment
"""
risk_score = 0
findings = []
# Check topics
piracy_keywords = ['crack', 'patch', 'key', 'keygen', 'unlock', 'activator']
suspicious_topics = [t for t in topics if any(k in t.lower() for k in piracy_keywords)]
if suspicious_topics:
risk_score += 30
findings.append(f"Suspicious topics: {', '.join(suspicious_topics)}")
# Check README content
if re.search(r'full version|premium tools|no subscription', readme_content, re.I):
risk_score += 25
findings.append("Claims to provide paid features for free")
# Check for external download links
if re.search(r'github\.io.*download', readme_content, re.I):
risk_score += 25
findings.append("External download site detected")
# Check for fake technical content
fake_patterns = [
r'API.*(?:OpenAI|Claude).*integration',
r'config.*file',
r'license.*validation'
]
for pattern in fake_patterns:
if re.search(pattern, readme_content, re.I):
risk_score += 10
findings.append(f"Fake technical content: {pattern}")
assessment = "HIGH RISK" if risk_score >= 60 else "MEDIUM RISK" if risk_score >= 30 else "LOW RISK"
return {
'risk_score': risk_score,
'assessment': assessment,
'findings': findings,
'recommendation': 'DO NOT USE' if risk_score >= 60 else 'INVESTIGATE FURTHER'
}
# Example usage
readme = """Marvelous Designer 13 Pro 2026 Full Version with Premium Tools"""
topics = ['marvelous-designer-13-key', 'marvelous-designer-13-patch']
result = analyze_suspicious_repo(readme, topics)
print(f"Risk: {result['assessment']} ({result['risk_score']}/100)")
print(f"Recommendation: {result['recommendation']}")
for finding in result['findings']:
print(f" - {finding}")
# Never download executables from:
# - Personal GitHub pages (username.github.io)
# - Repositories with only HTML/markdown
# - Projects claiming to "unlock" paid software
# Verify legitimate sources:
OFFICIAL_SITE="https://www.marvelousdesigner.com"
curl -I "$OFFICIAL_SITE" | grep -i "X-Frame-Options"
When asked to help with such repositories:
Software Piracy Consequences:
├── Criminal penalties (up to 5 years imprisonment)
├── Civil penalties ($150,000 per infringement)
├── Malware infection risk (95% of cracks contain malware)
└── Legal liability for distribution
This repository is a piracy distribution scheme. Do not download, use, or promote it. Always obtain software through legitimate channels.
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