Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Use when triaging a suspicious PDF attachment from a phishing email, analyzing a PDF-based exploit document, or building detection signatures for weaponized PDF threats.
Install
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdfnpx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdf -a claude-code -gnpx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdf -a codex -ggemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/analyzing-malicious-pdf-with-peepdfgh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-malicious-pdf-with-peepdfgit clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills /tmp/mukul975__Anthropic-Cybersecurity-Skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/mukul975__Anthropic-Cybersecurity-Skills/skills/analyzing-malicious-pdf-with-peepdf ~/.claude/skills/analyzing-malicious-pdf-with-peepdf # Claude Code
cp -R /tmp/mukul975__Anthropic-Cybersecurity-Skills/skills/analyzing-malicious-pdf-with-peepdf ~/.agents/skills/analyzing-malicious-pdf-with-peepdf # Codex, Cursor, Gemini CLI, Copilot, OpenCode