
This teaches Claude to spot malware distribution disguised as legitimate software, focusing on cracked security tools and pirated downloads. When users ask about suspicious repositories or "free" versions of paid software, it explains threat indicators like artificial star inflation, lack of documentation, keywords like "crack" or "keygen," and social engineering tactics. It provides concrete checklists for identifying malicious repos, safe alternatives from official sources, and incident response steps if something was already downloaded. Honest take: this is clearly designed for AI agents that might otherwise naively help users install malware when asked about software cracks. The examples are specific (fake Bitdefender cracks with thread hijacking topics) and the security education approach is practical.
npx -y skills add aradotso/security-skills --skill malware-detection-security-awareness --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.