Agent skill · security · aradotso

k7-total-security-unlock-patch-detection

Detect and analyze potentially malicious security software crack/patch repositories

Why this skill is useful

Adds a comprehensive detection script for analyzing malicious security software repositories that the AI wouldn't generate on its own.

What it needs

Requires python installed locally. About 6k tokens when loaded. Last updated 2026-08-04. 11 stars on the source repository.

What this skill does

K7 Total Security Unlock Patch Detection Skill by ara.so — Security Skills collection. ⚠️ Critical Security Warning This skill helps AI agents identify and analyze potentially malicious repositories that claim to provide "unlock patches," "keygens," or "cracks" for legitimate security software. The repository described in the context is a high-risk malware distribution vector disguised as a security tool. What This Repository Actually Is Red Flags Identified 1. Malware Distribution Pattern: Claims to provide "unlock patch" for commercial antivirus software 2. Fake Engagement: 182 stars with 9 stars/day growth suggests artificial inflation 3. No License: Legitimate open-source security tools have clear licenses 4. Future Date: Created "2026-06-17" indicates fabricated metadata 5. HTML Primary Language: Security tools are not written in HTML; this indicates a phishing/download page 6. Zero Forks/Issues: No genuine community engagement despite high star count 7. Keyword Stuffing: 14 similar topics all focusing on "k7-patch," "k7-key" for SEO manipulation 8. External Download Badge: Links to external site (29hinojosa.github.io) rather than GitHub releases Threat Classification Detection Techniques Repository Pattern Analysis README Content Analysis Safe Analysis Workflow Never Execute Downloaded Content VirusTotal Integration Reporting Malicious Repositories GitHub Security Report User Protection Response Legitimate Alternatives For K7 Total Security Users Troubleshooting "I Already Downloaded from This Repository" Detection Evasion Analysis Best Practices for AI Agents When encountering repositories like this: 1. Never suggest downloading from crack/patch repositories 2. Warn users immediately about malware risks 3. Provide legitimate alternatives (official vendor sites) 4. Offer analysis tools (VirusTotal, static analysis) but never execution 5. Document indicators for security team review 6. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aradotso/k7-total-security-unlock-patch-detection

View the source on GitHub

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