KubeEye Cluster Inspection
kubesphere/kubesphere
Deploys KubeEye on KubeSphere and writes InspectRule and InspectPlan resources to inspect cluster health, then retrieves the inspection reports.
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.
$ npx skills add datadog-labs/agent-skills --skill onboarding-summary -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install datadog-labs/agent-skills onboarding-summary --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/dd-apm/k8s-ssi/onboarding-summary .claude/skills/onboarding-summary && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "onboarding-summary" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/k8s-ssi/onboarding-summary into .claude/skills/onboarding-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-summary", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/k8s-ssi/onboarding-summaryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add datadog-labs/agent-skills --skill onboarding-summary -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install datadog-labs/agent-skills onboarding-summary --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/dd-apm/k8s-ssi/onboarding-summary .agents/skills/onboarding-summary && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "onboarding-summary" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/k8s-ssi/onboarding-summary into .agents/skills/onboarding-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-summary", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add datadog-labs/agent-skills --skill onboarding-summary -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install datadog-labs/agent-skills onboarding-summary --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/dd-apm/k8s-ssi/onboarding-summary .cursor/skills/onboarding-summary && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "onboarding-summary" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/k8s-ssi/onboarding-summary into .cursor/skills/onboarding-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-summary", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/datadog-labs/agent-skills.git --path dd-apm/k8s-ssi/onboarding-summary--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add datadog-labs/agent-skills --skill onboarding-summary -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install datadog-labs/agent-skills onboarding-summary --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/dd-apm/k8s-ssi/onboarding-summary .gemini/skills/onboarding-summary && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "onboarding-summary" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/k8s-ssi/onboarding-summary into .gemini/skills/onboarding-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-summary", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install datadog-labs/agent-skills onboarding-summaryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add datadog-labs/agent-skills --skill onboarding-summary -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/dd-apm/k8s-ssi/onboarding-summary .github/skills/onboarding-summary && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "onboarding-summary" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/k8s-ssi/onboarding-summary into .github/skills/onboarding-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-summary", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add datadog-labs/agent-skills --skill onboarding-summary -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install datadog-labs/agent-skills onboarding-summary --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/dd-apm/k8s-ssi/onboarding-summary .opencode/skills/onboarding-summary && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "onboarding-summary" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-apm/k8s-ssi/onboarding-summary into .opencode/skills/onboarding-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-summary", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
onboarding-summaryGenerate a live Single Step Instrumentation (SSI) onboarding confirmation report — verifies APM instrumentation is working end-to-end with deep links into the Datadog UI.
Onboarding Summary is an agent skill from datadog-labs/agent-skills. 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.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Monitoring and alerting and Container orchestration. It works with Datadog and Kubernetes. The repository describes itself as: Public repository for Datadog Agent Skills. The licence is MIT.
Read from SKILL.md and the folder at commit d2411cc. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
kubectlFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use kubectl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Onboarding Summary loads about 1.1k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 321 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from datadog-labs/agent-skills at commit d2411cc, republished under its MIT licence (© datadog-labs). 321 words, ~1,074 tokens.
.claude/skills/onboarding-summary/SKILL.md (or your agent's skills folder).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 |
|---|---|
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 |
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 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 5Only 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 nowFill 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 |
© datadog-labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in dd-apm/k8s-ssi/onboarding-summary of datadog-labs/agent-skills.
Open the folder on GitHubat commit d2411cc
Onboarding Summary next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Onboarding Summary this skilldatadog-labs/agent-skills | 177 | — | ~1.1k | Automated safety check: Pass | MIT | |
| KubeEye Cluster Inspectionkubesphere/kubesphere | 17k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Signozqjoly/GitOps | 112 | — | ~6.1k | Automated safety check: Pass | WTFPL | |
| Grafana Dashboardpando85/kaniop | 132 | — | ~987 | Automated safety check: Pass | AGPL-3.0 | |
| Cloud Devopsdavila7/claude-code-templates | 33k | 4 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Alloygrafana/skills | 282 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 |
kubesphere/kubesphere
Deploys KubeEye on KubeSphere and writes InspectRule and InspectPlan resources to inspect cluster health, then retrieves the inspection reports.
qjoly/GitOps
Manage the self-hosted SigNoz observability stack in this GitOps repo.
pando85/kaniop
Improve and validate the Kaniop Grafana dashboard against repository metrics and the grigri live cluster.
davila7/claude-code-templates
Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.
grafana/skills
Build a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud / Prometheus / Loki / Tempo /…
mukul975/Anthropic-Cybersecurity-Skills
Implements eBPF-based runtime observability and in-kernel enforcement in Kubernetes with Cilium Tetragon, monitoring process execution, file access, network connections, and syscalls, and blocking…
datadog-labs/agent-skills
Bootstrap a reproducible LLM Observability experiment through the Python ddtrace SDK or the Node dd-trace SDK.
datadog-labs/agent-skills
Ensure the user has an authenticated Datadog account with a valid DDAPIKEY on the right region before any Datadog setup or instrumentation.
datadog-labs/agent-skills
Entry point for Datadog onboarding. An agent skill from datadog-labs/agent-skills.
datadog-labs/agent-skills
APM - install, onboard, instrument, enable, set up, configure, traces, services, dependencies, performance analysis, Data Streams Monitoring (DSM), queue lag, pipeline latency.
datadog-labs/agent-skills
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…
datadog-labs/agent-skills
Set up the Datadog AWS integration with Terraform - creates the cross-account IAM role Datadog assumes (external ID, no stored credentials), attaches the permission policies Datadog publishes, and…
Works with
Categories
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. Onboarding Summary is an agent skill from datadog-labs/agent-skills. 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.
Onboarding Summary fits situations like: tasks that involve Monitoring and alerting; tasks that involve Container orchestration.
Run `npx skills add datadog-labs/agent-skills --skill onboarding-summary -a claude-code`. Or copy the skill folder (dd-apm/k8s-ssi/onboarding-summary in datadog-labs/agent-skills) into .claude/skills/onboarding-summary in your project. Claude Code loads it when a task matches its description.
Run `npx skills add datadog-labs/agent-skills --skill onboarding-summary -a codex`. Or copy the skill folder (dd-apm/k8s-ssi/onboarding-summary in datadog-labs/agent-skills) into .agents/skills/onboarding-summary in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add datadog-labs/agent-skills --skill onboarding-summary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/onboarding-summary, .gemini/skills/onboarding-summary, .github/skills/onboarding-summary and .opencode/skills/onboarding-summary in your project.
Going by SKILL.md and its folder, Onboarding Summary needs the command-line tools its instructions call (kubectl).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Onboarding Summary is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Onboarding Summary: KubeEye Cluster Inspection (kubesphere/kubesphere, 17k stars), Signoz (qjoly/GitOps, 112 stars), Grafana Dashboard (pando85/kaniop, 132 stars) and Cloud Devops (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
datadog-labs (a GitHub organization) maintains it in datadog-labs/agent-skills, which has 177 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 8, 2026.
Source: datadog-labs/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.