Explain Elasticsearch ML anomaly detection scores, model behavior, and result interpretation. Use when the user asks why a score is high or low, how the model learns, what the numbers mean, or how to troubleshoot unexpected anomaly scores.
安装
npx skills add elastic/agent-skills --skill elasticsearch-anomaly-detection-explainernpx skills add elastic/agent-skills --skill elasticsearch-anomaly-detection-explainer -a claude-code -gnpx skills add elastic/agent-skills --skill elasticsearch-anomaly-detection-explainer -a codex -ggemini skills install https://github.com/elastic/agent-skills.git --path skills/elasticsearch/elasticsearch-anomaly-detection-explainergh skill install elastic/agent-skills elasticsearch-anomaly-detection-explainergit clone --depth 1 https://github.com/elastic/agent-skills /tmp/elastic__agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/elastic__agent-skills/skills/elasticsearch/elasticsearch-anomaly-detection-explainer ~/.claude/skills/elasticsearch-anomaly-detection-explainer # Claude Code
cp -R /tmp/elastic__agent-skills/skills/elasticsearch/elasticsearch-anomaly-detection-explainer ~/.agents/skills/elasticsearch-anomaly-detection-explainer # Codex, Cursor, Gemini CLI, Copilot, OpenCode