Classify whether user intent was satisfied in a Datadog Agent Observability trace or session. Three modes: (1) session_id — classify a single CMD+I assistant session with RUM; (2) trace_id — classify a single Agent Observability trace without RUM; (3) ml_app — sample and classify multiple sessions or traces from a given LLM app. Output is compact by default (verdict + one-sentence reason).
安装
npx skills add datadog-labs/agent-skills --skill agent-observability-session-classifynpx skills add datadog-labs/agent-skills --skill agent-observability-session-classify -a claude-code -gnpx skills add datadog-labs/agent-skills --skill agent-observability-session-classify -a codex -ggemini skills install https://github.com/datadog-labs/agent-skills.git --path agent-observability/agent-observability-session-classifygh skill install datadog-labs/agent-skills agent-observability-session-classifygit clone --depth 1 https://github.com/datadog-labs/agent-skills /tmp/datadog-labs__agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/datadog-labs__agent-skills/agent-observability/agent-observability-session-classify ~/.claude/skills/agent-observability-session-classify # Claude Code
cp -R /tmp/datadog-labs__agent-skills/agent-observability/agent-observability-session-classify ~/.agents/skills/agent-observability-session-classify # Codex, Cursor, Gemini CLI, Copilot, OpenCode