LLM Obs Session Classify | Agent Skills Atlas

About this skill

Classify whether user intent was satisfied in a Datadog LLM Obs trace or session. Three modes: (1) sessionid — classify a single CMD+I assistant session with RUM; (2) traceid — classify a single LLM Obs trace without RUM; (3) mlapp — 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 llm-obs-eval-pipeline or llm-obs-trace-rca.

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Content SHA-256: 9ad6fd454c2e3aebd477d9db11b8638fac707a368fbdc397d245f564dd32adc1

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Original listing metadata

Original name

llm-obs-session-classify

Original description

Classify whether user intent was satisfied in a Datadog LLM Obs trace or session. Three modes: (1) session_id — classify a single CMD+I assistant session with RUM; (2) trace_id — classify a single LLM Obs 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 llm-obs-eval-pipeline or llm-obs-trace-rca.

About this listing

Category: General
Reported license: MIT
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.