Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.
安装
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-campaign-attribution-evidencenpx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-campaign-attribution-evidence -a claude-code -gnpx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-campaign-attribution-evidence -a codex -ggemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/analyzing-campaign-attribution-evidencegh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-campaign-attribution-evidencegit 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-campaign-attribution-evidence ~/.claude/skills/analyzing-campaign-attribution-evidence # Claude Code
cp -R /tmp/mukul975__Anthropic-Cybersecurity-Skills/skills/analyzing-campaign-attribution-evidence ~/.agents/skills/analyzing-campaign-attribution-evidence # Codex, Cursor, Gemini CLI, Copilot, OpenCode