What problem does it solve?
This skill helps users identify potentially malicious GitHub repositories that masquerade as legitimate antivirus or security software download sources, reducing the risk of installing malware disguised as “security tools.”
Core Features & Use Cases
- Repository authenticity screening: Evaluates red-flag signals like keygen/crack or “pre-activated” claims, missing documentation, and inconsistent metadata (e.g., mismatched language tags).
- Malware distribution pattern detection: Checks common behavioral markers such as suspicious SEO-style descriptions, artificial star growth patterns, and the absence of real source artifacts.
- Safety-first reporting guidance: Helps users decide what not to download, how to verify legitimacy via official vendor sources, and how to escalate suspicious findings.
Example use case: when you find a “free Avast premium/keygen” repository that looks popular but lacks real documentation and source code, the skill guides you through assessing its legitimacy indicators before you interact with it.
Quick Start
Ask the assistant to analyze a suspect repository URL for malware distribution indicators and give a risk-oriented conclusion focused on fake antivirus/keygen patterns.