onboarding-summary
Generate a live Single Step Instrumentation (SSI) onboarding confirmation report — verifies APM instrumentation is working end-to-end with deep links into the Datadog UI. Only use after agent-install and enable-ssi have both completed successfully.
- Installs
- 430
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/datadog-labs/agent-skills --skill onboarding-summary- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads onboarding-summary automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
APM Onboarding Summary
Triggers
Invoke this skill when:
- All steps in
verify-ssihave passed - All checks in
troubleshoot-ssihave been resolved - The user asks "is everything working?", "show me the status", or "confirm APM is set up"
Do NOT invoke this skill if any verification or troubleshooting check is still failing — resolve those first.
Context to resolve before acting
| Variable | How to resolve |
|---|---|
AGENT_NAMESPACE | Namespace where Datadog Agent is installed |
APP_NAMESPACE | Namespace of the application |
APP_LABEL | Check spec.selector.matchLabels.app in the Deployment manifest |
CLUSTER_NAME | spec.global.clusterName in datadog-agent.yaml |
SERVICE_NAME | tags.datadoghq.com/service label on the Deployment |
ENV | tags.datadoghq.com/env label on the Deployment |
DD_SITE | spec.global.site in datadog-agent.yaml |
Prerequisites
Claude runs
pup auth status --site <DD_SITE>
If valid token — proceed.
ERROR: Not authenticated:
Claude runs
pup auth login --site <DD_SITE>
This opens a browser tab for OAuth. Complete the login there — Claude will continue once the command exits.
Collect live confirmation data
Run all of the following. Each populates a row in the final report.
Claude runs
# Agent pod count and status
kubectl get pods -n <AGENT_NAMESPACE> \
-l app.kubernetes.io/component=agent \
--no-headers
# SSI instrumentation config live in cluster
kubectl get datadogagent datadog -n <AGENT_NAMESPACE> \
-o jsonpath='{.spec.features.apm.instrumentation}'
# Init container confirmed in app pod spec
kubectl get pod -l app=<APP_LABEL> -n <APP_NAMESPACE> \
-o jsonpath='{.items[0].spec.initContainers[*].name}'
# Service visible and traced in APM
DD_SITE=<DD_SITE> pup apm services list --env <ENV> --from 1h
# Traces arriving in the last hour
DD_SITE=<DD_SITE> pup traces search --query "service:<SERVICE_NAME>" --from 1h --limit 5
Only if DSM was enabled via enable-dsm:
# DSM pipeline data for the service
DD_SITE=<DD_SITE> pup metrics query \
--query "avg:data_streams.latency{service:<SERVICE_NAME>,env:<ENV>} by {pathway_type}" \
--from 15m --to now
Present the report
Fill in every value from live command output. Do not leave any placeholder unfilled. If a value cannot be confirmed, mark that row as failed and link to troubleshoot-ssi.
APM onboarding complete
| Check | Detail | Status |
|---|---|---|
| Datadog Agent | <N> pod(s) Running in <AGENT_NAMESPACE> | OK |
| SSI enabled | Targeting namespace <APP_NAMESPACE>, language <LANGUAGE> v<MAJOR_VERSION> | OK |
| Init container injected | datadog-lib-<language>-init present in pod spec | OK |
| Tracer reporting | Service <SERVICE_NAME> appears in pup apm services list with isTraced: true | OK |
| APM service visible | <SERVICE_NAME> in env <ENV> | OK |
| Traces arriving | <N> trace(s) found in the last hour | OK |
| Data Streams (only if enabled) | data_streams.latency series for <SERVICE_NAME>, or "pending first message" | OK |
Your service in Datadog — click to open:
Construct each URL by substituting real values. Do not print placeholder URLs.
| View | URL |
|---|---|
| Service overview | https://app.<DD_SITE>/apm/services/<SERVICE_NAME>?env=<ENV> |
| Traces explorer | https://app.<DD_SITE>/apm/traces?query=service:<SERVICE_NAME>%20env:<ENV> |
| Service map | https://app.<DD_SITE>/apm/map?env=<ENV>&service=<SERVICE_NAME> |
| Agent fleet | https://app.<DD_SITE>/fleet-automation |
| Data Streams (only if enabled) | https://app.<DD_SITE>/data-streams |
Security constraints
- Never write a raw API key into any file or chat message
FAQ
What does the onboarding-summary skill do?
Generate a live Single Step Instrumentation (SSI) onboarding confirmation report — verifies APM instrumentation is working end-to-end with deep links into the Datadog UI. Only use after agent-install and enable-ssi have both completed successfully.
How do I install onboarding-summary?
Run npx skills add https://github.com/datadog-labs/agent-skills --skill onboarding-summary in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/onboarding-summary/ (personal) or .claude/skills/onboarding-summary/ (project).
Which AI agents can use onboarding-summary?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is onboarding-summary safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains onboarding-summary?
It is published by datadog-labs in datadog-labs/agent-skills, and it is an official skill from the maker of the technology it covers. It has 430 recorded installs.
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