Generate a live Single Step Instrumentation (SSI) onboarding confirmation report for Linux hosts — 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.
npx skills add https://github.com/datadog-labs/agent-skills --skill onboarding-summary
Invoke this skill when:
verify-ssi have passedtroubleshoot-ssi have been resolvedDo NOT invoke this skill if any verification or troubleshooting check is still failing — resolve those first.
| Variable | How to resolve |
|---|---|
| HOSTNAME | hostname -f on the target host |
| DD_HOSTNAME | Hostname as Datadog sees it — from sudo datadog-agent status |
| SERVICE_NAME | DD_SERVICE value from /proc/<PID>/environ or the systemd unit |
| ENV | DD_ENV value from /proc/<PID>/environ or the systemd unit |
| DD_SITE | grep "^site:" /etc/datadog-agent/datadog.yaml |
| SSH_KEY | Path to SSH private key |
| SSH_USER | SSH username |
| SSH_HOST | Hostname or IP of the target host |
pup auth status --site <DD_SITE>
If valid token — proceed.
ERROR: Not authenticated:
pup auth login --site <DD_SITE>
> This opens a browser tab for OAuth. Complete the login there — Claude will continue once the command exits.
Run all of the following. Each populates a row in the final report.
# Agent version and status
sudo datadog-agent status 2>&1 | grep -E "Agent \(v|Status:|API Keys status"
# Inject library armed in ld.so.preload
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "cat /etc/ld.so.preload"
# Process confirmed injected — launcher + language library in /proc/<PID>/maps
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"pgrep -a -f '<SERVICE_NAME>' | head -3"
Use the PID from above:
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo cat /proc/<PID>/maps | grep -E 'launcher|apm-library|datadog'"
# UST vars in process environment
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo cat /proc/<PID>/environ | tr '\0' '\n' | grep -E 'DD_SERVICE|DD_ENV|DD_VERSION'"
# Agent APM receiver — trace counts
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo datadog-agent status 2>&1 | grep -A 10 'Receiver (previous minute)'"
# Service visible and traced in APM backend
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
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 | v<VERSION> running on <HOSTNAME>, API key valid | OK |
| SSI armed | /etc/ld.so.preload contains launcher path | OK |
| Process injected | launcher + language library in /proc/<PID>/maps for <SERVICE_NAME> | OK |
| Unified Service Tags | DD_SERVICE=<SERVICE_NAME> DD_ENV=<ENV> DD_VERSION=<VERSION> | OK |
| Agent receiving traces | <N> trace(s)/min in APM receiver | OK |
| APM service visible | <SERVICE_NAME> in env <ENV> | OK |
| Traces arriving | <N> trace(s) found in the last hour | 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> |
| Infrastructure host | https://app.<DD_SITE>/infrastructure?q=host:<HOSTNAME> |
| Agent fleet | https://app.<DD_SITE>/fleet-automation |
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Replace with description of the skill and when Claude should use it.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Take datadog-labs/agent-onboarding-summary from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.