agent-observability-session-classify
bydatadog-labs· 37 skills
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). Use when evaluating satisfaction, classifying sessions/traces, labeling data, or generating signal for agent-observability-eval-pipeline or agent-observability-trace-rca.
How to install agent-observability-session-classify?
datadog-labs/agent-skills/agent-observability-session-classify
$npx -y skills add datadog-labs/agent-skills --skill agent-observability-session-classifyInstalls into the current project.
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Run `npx skills use "https://github.com/datadog-labs/agent-skills" --skill "datadog-labs/agent-skills/agent-observability-session-classify"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/datadog-labs/agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/datadog-labs/agent-skills"` and select the relevant skills, then follow their instructions.
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