Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add datadog-labs/agent-skills --skill onboarding-summarygit clone --depth 1 https://github.com/datadog-labs/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/datadog-labs/agent-skills/onboarding-summary)<a href="https://agentmods.dev/skills/datadog-labs/agent-skills/onboarding-summary"><img src="https://agentmods.dev/badge/skills/datadog-labs/agent-skills/onboarding-summary/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/datadog-labs/agent-skills/onboarding-summary"><img src="https://agentmods.dev/badge/skills/datadog-labs/agent-skills/onboarding-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.01013 |
| Opus 5 | $0.00026 | $0.00507 |
| Sonnet 5 | $0.00010 | $0.00203 |
| Haiku 4.5 | $0.00005 | $0.00101 |
Grade A, and why
onboarding-summary scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- onboarding-summary — 92% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 125 lines · 51 tokens per session scan A ac5e4d37dfe8
onboarding-summary is a skill published in the GitHub repository datadog-labs/agent-skills (168 stars, last pushed 15d ago), licensed MIT. It adds 51 tokens to every session and 1,013 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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