agent-install
Install the Datadog Agent on Kubernetes using the Datadog Operator — required before enabling Single Step Instrumentation (SSI), which automatically instruments applications for APM without code changes. Only use if no Datadog Agent is deployed on the cluster yet.
pinned to #8511716updated 2 days ago
Ask your AI client: “install skills/agent-install”.
Requires the metahub MCP server installed in your client. Set up MCP.
mh install skills/agent-installmetahub onboarded this repo on the author's behalf.
If you own github.com/datadog-labs/agent-skills on GitHub, claim the listing to take over publishing. Your claim preserves the existing eval history and badges; only the curator label is replaced with verified-publisher on your next publish.
Stars
150
Last commit
2 days ago
Latest release
published
About this skill
Pulled from SKILL.md at publish time.
Before doing anything else: Fully resolve all variables in ## Context to resolve before acting. Do not begin Step 1 until every variable has a concrete value.
Evaluation report
WarningsAutomated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.8511716· 2 days ago
Documentation
7 passed2 warningsTags / topics declaredwarn
No manifest tags and no GitHub repo topics
Add tags to the manifest (or GitHub topics on the repo) so the registry's search and category filters surface this artifact.
Homepage or repository declaredwarn
No homepage or repository declared.
Add a "homepage" or "repository" field to SKILL.md.
Description quality
39 words · 264 chars — "Install the Datadog Agent on Kubernetes using the Datadog Operator — required be…"
README is present and substantial
16,889 chars · 6 sections · 27 code blocks
README has usage / example sections
no labeled section but 27 code blocks document usage
Homepage / docs URL declared
no homepage declared (registry will use the repo URL) — info-only, not blocking
Description is substantive
Description is 39 words.
Documentation present and substantive
Documentation present (SKILL.md, 1151 words).
Documentation shows usage
Documentation includes 9 code examples.
Release history
1- releasecurrent8511716warn2 days ago
Contents
Install the Datadog Agent on Kubernetes
Before doing anything else: Fully resolve all variables in
## Context to resolve before acting. Do not begin Step 1 until every variable has a concrete value.
Phase 0: Load Credentials
[ -f environment ] && source environment
echo "DD_API_KEY set: $([ -n "${DD_API_KEY:-}" ] && echo yes || echo no)"
echo "DD_SITE: ${DD_SITE:-not set}"
echo "helm: $(helm version --short 2>/dev/null || echo NOT FOUND)"
If helm is not found — tell the user:
helmis required for this skill. Install it with:brew install helm # macOS # or see https://helm.sh/docs/intro/install/ for other platformsOnce installed, let me know and I'll continue.
Do not proceed until helm is available.
If DD_API_KEY is already set — proceed to Prerequisites.
If DD_API_KEY is not set — tell the user:
I need two things to continue:
1. Datadog API Key — used to authenticate the Agent with your Datadog account. You can find or create one at: https://app.datadoghq.com/organization-settings/api-keys
2. Datadog Site — the region your Datadog account is on. Most accounts use
datadoghq.com. Check your Datadog URL to confirm (e.g.app.datadoghq.eu→ site isdatadoghq.eu). Other options:us3.datadoghq.com,us5.datadoghq.com,ap1.datadoghq.com.Please run the following in this chat to set your credentials (the
!prefix executes it in this session):! export DD_API_KEY=your-api-key-here ! export DD_SITE=datadoghq.com
Wait for the user to run the commands, then re-run the check above before continuing.
Prerequisites
- Kubernetes v1.20+ —
kubectl version - helm v3+ —
helm version - kubectl configured to target cluster —
kubectl config current-context - pup-cli installed — check with
pup --version; if missing, install it now:
Do not skip — proceed only onceif [[ "$(uname)" == "Darwin" ]]; then brew tap datadog-labs/pack && brew install pup else PUP_VERSION=$(curl -s https://api.github.com/repos/datadog-labs/pup/releases/latest | grep '"tag_name"' | cut -d'"' -f4) curl -L "https://github.com/datadog-labs/pup/releases/download/${PUP_VERSION}/pup_linux_amd64.tar.gz" | tar xz -C /usr/local/bin pup chmod +x /usr/local/bin/pup fi pup --versionpup --versionsucceeds.
Context to resolve before acting
| Variable | How to resolve |
|---|---|
CLUSTER_NAME | Check repo IaC, scripts, or kubectl config current-context |
DD_SITE | Ask the user. Default: datadoghq.com. Common options: datadoghq.eu, us3.datadoghq.com, us5.datadoghq.com, ap1.datadoghq.com. Full list: https://docs.datadoghq.com/getting_started/site/ |
AGENT_NAMESPACE | Use datadog unless the repo already uses datadog-agent consistently |
CHART_VERSION | Run helm search repo datadog/datadog-operator --versions | head -5 and use the latest stable |
Step 1: Check for an Existing Agent Installation
Claude runs
helm list -A | grep -i datadog
If a release shows deployed — Agent already installed. Skip to Step 5 to confirm health, then exit.
If there is no output — no existing install. Continue to Step 2.
Step 2: Install the Datadog Operator
Claude runs
helm repo add datadog https://helm.datadoghq.com
helm repo update
helm upgrade --install datadog-operator datadog/datadog-operator \
--namespace <AGENT_NAMESPACE> \
--create-namespace \
--version <CHART_VERSION>
kubectl wait --for=condition=Ready pod \
-l app.kubernetes.io/name=datadog-operator \
-n <AGENT_NAMESPACE> \
--timeout=120s
If the Operator pod is Running — continue to Step 3.
ERROR: Pod not ready after 120s — check image pull: kubectl describe pod -l app.kubernetes.io/name=datadog-operator -n <AGENT_NAMESPACE>.
Step 3: Create the API Key Secret
What you need to do in a terminal
export DD_API_KEY=<your-api-key>
kubectl create secret generic datadog-secret \
--from-literal api-key=$DD_API_KEY \
--namespace <AGENT_NAMESPACE>
If secret/datadog-secret created — continue to Step 4.
ERROR: AlreadyExists — confirm which key it holds via Step 5 before deciding whether to recreate.
Step 4: Deploy the DatadogAgent Resource
[DECISION: cluster type]
- Self-hosted (minikube, kind): include
kubelet.tlsVerify: falseinsidespec.global - Managed (GKE, EKS, AKS): omit
kubelet.tlsVerifyentirely
[DECISION: APM/SSI also being enabled in this session]
- If yes: do not create a separate
DatadogAgentfor APM — extend this same manifest withfeatures.apmperenable-ssi. One manifest, not two. - If no: use the manifest below as-is.
Save the following as datadog-agent.yaml:
apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
name: datadog
namespace: <AGENT_NAMESPACE>
spec:
global:
clusterName: <CLUSTER_NAME>
site: <DD_SITE>
credentials:
apiSecret:
secretName: datadog-secret
keyName: api-key
# Self-hosted clusters only (minikube, kind):
# kubelet:
# tlsVerify: false
features:
orchestratorExplorer:
enabled: true
clusterChecks:
enabled: true
logCollection:
enabled: true
containerCollectAll: false
Claude runs
kubectl apply -f datadog-agent.yaml
kubectl wait --for=condition=Ready pod \
-l app.kubernetes.io/component=agent \
-n <AGENT_NAMESPACE> \
--timeout=120s 2>/dev/null || true
Step 5: Verify the API Key
Claude runs
kubectl logs -l app.kubernetes.io/component=agent \
-n <AGENT_NAMESPACE> \
--tail=50 2>/dev/null \
| grep -iE "invalid.*api\.?key|api\.?key.*invalid" \
|| echo "No authentication errors found"
If No authentication errors found — key is accepted.
ERROR: Authentication errors found — validate credentials directly:
Claude runs
# Prefer pup (OAuth) — fall back to curl with API key
if pup auth status 2>/dev/null | grep -q "Logged in"; then
echo "pup OAuth authenticated"
elif [ -n "${DD_API_KEY:-}" ]; then
RESPONSE=$(curl -s -o /dev/null -w "%{http_code}" \
-X GET "https://api.<DD_SITE>/api/v1/validate" \
-H "DD-API-KEY: $DD_API_KEY")
if [ "$RESPONSE" = "200" ]; then
echo "API key is valid for <DD_SITE>"
else
echo "ERROR: Validation failed (HTTP $RESPONSE) — check key and site alignment"
fi
else
echo "ERROR: No credentials available — run 'pup auth login' or set DD_API_KEY"
fi
If key is invalid:
What you need to do in a terminal
export DD_API_KEY=<new-api-key>
kubectl delete secret datadog-secret -n <AGENT_NAMESPACE>
kubectl create secret generic datadog-secret \
--from-literal api-key=$DD_API_KEY \
-n <AGENT_NAMESPACE>
kubectl rollout restart daemonset datadog-agent -n <AGENT_NAMESPACE>
kubectl rollout restart deployment datadog-cluster-agent -n <AGENT_NAMESPACE>
Done
Exit when ALL of the following are true:
- Datadog Operator pod is Running in
AGENT_NAMESPACE -
datadog-secretexists inAGENT_NAMESPACE - Agent DaemonSet pods are Running
- Step 5 returns no authentication errors
Automatically proceed to enable-ssi now — do not ask the user for permission.
Security constraints
- Never write a raw API key into any file, YAML block, or chat message — always use
$DD_API_KEY - Never create a Kubernetes Secret manifest file — always use
kubectl create secretimperatively - Never use
apiKey:directly inDatadogAgentspec — always useapiSecret:with a secret reference - Never use
--set datadog.apiKey=...in any Helm command - Never use namespace
defaultfor Datadog Agent resources - Never run
kubectl deletewithout user confirmation
Reviews
No reviews yet. Be the first.
Related
Verification Before Completion
Evidence before assertions, always
Writing Plans
Turn specs into phased implementation plans
Test-Driven Development
Red → green → refactor discipline for any feature or bugfix
mh install skills/agent-install