malware-game-cheat-detection

Detects malware distribution patterns in game trainer and cheat software repositories.

4|Updated May 16, 2026
One-click install
npx skills add https://github.com/reason-machines/devtools-skills --skill malware-game-cheat-detection-reason-machines
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: malware-game-cheat-detection
Source: https://github.com/reason-machines/devtools-skills/tree/main/skills/malware-game-cheat-detection
Command: npx skills add https://github.com/reason-machines/devtools-skills --skill malware-game-cheat-detection-reason-machines

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Game cheat and trainer repositories on GitHub frequently disguise malware, keyloggers, and ransomware as legitimate open source tools, putting users who download them at serious risk. ## Core Features & Use Cases - Indicator Analysis: Scans README content for red flags like external download links, password-protected archives, admin privilege requirements, and suspicious domains. - Risk Scoring: Calculates a 0-100 risk score from six weighted malware indicators and flags fake engagement metrics such as future creation dates or high stars with zero forks. - Use Case: A user finds a GitHub repo promising an undetected aimbot trainer. The skill analyzes its README, detects a netlify.app download link with a password and admin requirement, computes a high risk score, and generates a GitHub abuse report. ## Quick Start Analyze this game trainer repository and tell me whether it shows malware distribution patterns.

Frequently Asked Questions about malware-game-cheat-detection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if a game trainer repository is malware?▼

Scan the repository README for external download links, password-protected archives, and administrator privilege requirements. Repositories offering executables without readable source code are strong malware indicators.

What are the red flags of malicious cheat software on GitHub?▼

Key red flags include downloads hosted on netlify.app or Discord CDN, password-protected zip files, run-as-administrator instructions, future creation dates, and high star counts with zero forks indicating fake engagement.

How is the malware risk score calculated?▼

The risk score sums six binary indicators: external downloads, password protection, admin requirements, executable-only content, suspicious domains, and fake metrics. Each indicator contributes roughly 16 points toward a 100-point maximum.

Can I detect fake GitHub repository engagement metrics?▼

Yes, by comparing repository age against star velocity and checking fork counts. Repositories under seven days old with over 50 stars per day, or with high stars but zero forks, likely have manipulated engagement.

How do I report a malware repository to GitHub?▼

Submit a report at github.com/contact/report-abuse including the repository URL, evidence of external download links, and classification as malware distribution. The skill includes a script to generate formatted abuse reports automatically.