Loading...
Loading...
Found 27 Skills
Detect and analyze potential malware distribution repositories masquerading as legitimate security software
Understanding security risks in software distribution and recognizing illegitimate software packages
Identify, analyze, and report malicious software distribution repositories masquerading as legitimate security tools
WARNING - This repository appears to be malware distribution disguised as legitimate software cracks
Recognize and educate about malware distribution disguised as legitimate security software
Identify, analyze, and document malware distribution repositories masquerading as legitimate software
Test skill containing EICAR test file for malware detection
Guides authoring of high-quality YARA-X detection rules for malware identification. Use when writing, reviewing, or optimizing YARA rules. Covers naming conventions, string selection, performance optimization, migration from legacy YARA, and false positive reduction. Triggers on: YARA, YARA-X, malware detection, threat hunting, IOC, signature, crx module, dex module.
Analyzes indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority. Use when triaging IOCs from phishing emails, security alerts, or external threat feeds; enriching raw IOCs with multi-source intelligence; or making block/monitor/whitelist decisions. Activates for requests involving VirusTotal, AbuseIPDB, MalwareBazaar, MISP, or IOC enrichment pipelines.
WARNING - This repository distributes malware disguised as Avast Premium Security cracks and keygens
Guides authoring, review, optimization, and false-positive debugging of YARA-X detection rules for malware identification across PE, script, npm, Office, Chrome extensions (crx module), and Android DEX (dex module). Covers string and atom quality, condition short-circuiting, legacy YARA migration, yarGen/FLOSS workflows, goodware validation, and production deployment—not full malware reverse engineering, network IDS (Suricata/Snort), or memory forensics (Volatility). Use when the user asks to write YARA rule, YARA-X, yr check, yr scan, false positive YARA, yarGen, malware detection rule, crx module, dex module, optimize YARA performance, or migrate legacy YARA.
Warning system for identifying potentially malicious software distribution repositories