Bootstrap evaluators from production traces — by default propose online LLM-judge evaluators and, after you confirm, create them in Datadog as disabled drafts (never auto-enabled); on request emit Python SDK code or a framework-agnostic JSON spec instead.
Install
npx skills add datadog-labs/agent-skills --skill agent-observability-eval-bootstrapnpx skills add datadog-labs/agent-skills --skill agent-observability-eval-bootstrap -a claude-code -gnpx skills add datadog-labs/agent-skills --skill agent-observability-eval-bootstrap -a codex -ggemini skills install https://github.com/datadog-labs/agent-skills.git --path agent-observability/agent-observability-eval-bootstrapgh skill install datadog-labs/agent-skills agent-observability-eval-bootstrapgit 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-eval-bootstrap ~/.claude/skills/agent-observability-eval-bootstrap # Claude Code
cp -R /tmp/datadog-labs__agent-skills/agent-observability/agent-observability-eval-bootstrap ~/.agents/skills/agent-observability-eval-bootstrap # Codex, Cursor, Gemini CLI, Copilot, OpenCode