agent-observability-session-classify
agent-observability-session-classify is an agent skill published by datadog-labs, listed under deploy & operate. It lives in the datadog-labs/agent-skills repository, which has 178 GitHub stars and is licensed under MIT; we last read it on 2026-10-23.
Classifies user intent satisfaction in Datadog Agent Observability traces or sessions using three modes: session_id, trace_id, and ml_app. Requires no specific credentials.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads datadog-labs/agent-skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add datadog-labs/agent-skills
Maintenance
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.
agent-observability-session-classify compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| agent-observability-session-classify (this page) | datadog-labs | Classify whether user intent was satisfied in a Datadog Agent Observability trace or session. Three modes: (1… | 178 | 2026-10-22 |
| agent-observability-eval-bootstrap(same repository) | datadog-labs | Bootstrap evaluators from production traces — by default propose online LLM-judge evaluators and, after you c… | 178 | 2026-10-22 |
| agent-observability-eval-pipeline(same repository) | datadog-labs | End-to-end Agent Observability pipeline for an instrumented ml_app — classify production traces, root-cause f… | 178 | 2026-10-22 |
| agent-observability-experiment-analyzer(same repository) | datadog-labs | Analyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when… | 178 | 2026-10-22 |
| agent-observability-trace-rca(same repository) | datadog-labs | Root cause analysis on production LLM traces. Diagnoses why an LLM application is failing — works from eval j… | 178 | 2026-10-22 |
| agent-skills(same repository) | datadog-labs | Datadog skills for AI agents. Essential monitoring, logging, tracing and observability. | 178 | 2026-10-22 |
| dd-aws-integration(same repository) | datadog-labs | Set up the Datadog AWS integration with Terraform - creates the cross-account IAM role Datadog assumes (exter… | 178 | 2026-10-22 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about agent-observability-session-classify
- What does agent-observability-session-classify do?
- Classifies user intent satisfaction in Datadog Agent Observability traces or sessions using three modes: session_id, trace_id, and ml_app. Requires no specific credentials.
- How do I install agent-observability-session-classify?
- Run npx skills add datadog-labs/agent-skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes agent-observability-session-classify?
- datadog-labs.
- Is agent-observability-session-classify maintained, and what licence does it use?
- Its repository has 178 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-22. The repository declares the MIT licence.
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