A Datadog setup and troubleshooting helper for monitoring applications and Kubernetes clusters, including traces, logs, alerts, dashboards, service objectives, and synthetic tests.

Use it to deploy the Datadog Agent, add application tracing, configure logs and monitors, build dashboards and SLOs, and investigate incidents.

It helps configure monitoring consistently and investigate live incidents using application and infrastructure data.

datadog — Command for Claude Code by nitinjain999

Install

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.

Clone the repo

git clone --depth 1 https://github.com/nitinjain999/platform-skills

Made for: Claude Code.

Or install platform-skills, the plugin that ships this one along with the rest of its 1 skill, 43 commands.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/nitinjain999/platform-skills/datadog.svg)](https://agentmods.dev/commands/nitinjain999/platform-skills/datadog)

Your own site

<a href="https://agentmods.dev/commands/nitinjain999/platform-skills/datadog"><img src="https://agentmods.dev/badge/commands/nitinjain999/platform-skills/datadog.svg" alt="Measured on agentmods" height="20"></a>

Per session 57 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 2,099 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00057	$0.02099
Opus 5	$0.00028	$0.01050
Sonnet 5	$0.00011	$0.00420
Haiku 4.5	$0.00006	$0.00210

Measured 8d ago against content hash 28fdf714ed0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

datadog 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 8d 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.

commands/datadog.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Configure, troubleshoot, or investigate incidents in Datadog.

Mode: setup

Deploy and configure the Datadog Agent on Kubernetes.

Steps:

Ask for: Kubernetes distribution (EKS/AKS/GKE), Datadog site (EU: datadoghq.eu / US: datadoghq.com), features needed (APM, logs, process monitoring)
Generate Helm values with: API key from Secret (never hardcoded), APM enabled, log collection enabled, cluster name set, Cluster Agent enabled with 2 replicas
Provide install command: helm upgrade --install datadog datadog/datadog -f values.yaml -n datadog
Provide verification commands: kubectl exec -n datadog ds/datadog -- agent status
Add Unified Service Tagging labels (DD_ENV, DD_SERVICE, DD_VERSION) to app Deployment

Mode: instrument

Add APM tracing to a service.

Steps:

Ask for: language (Node.js / Python / Java / Go), framework (Express / Django / Spring / etc.), whether log-trace correlation is needed
Generate tracer initialisation code — dd-trace init must be the first import in Node.js; use ddtrace-run or patch_all() in Python
Add Unified Service Tagging env vars to the Deployment manifest
Add custom spans for business-critical paths (payment processing, order creation, etc.)
Show expected APM UI outcome: service map entry, latency/error rate populated

Mode: monitor

Create a Datadog monitor for a service.

Steps:

Ask for: metric to alert on (error rate / latency / availability), thresholds, notification targets (PagerDuty / Slack)
Generate Terraform datadog_monitor resource (preferred over UI / API for IaC)
Set notify_no_data: true and no_data_timeframe so silent services alert
Include warning and critical thresholds
Tag with service:, env:, team: for routing

Output monitor query, thresholds, notification message with @pagerduty-* and @slack-* handles.

Mode: dashboard

Create a Datadog dashboard for a service.

Steps:

Default to RED method: request rate, error rate %, p50/p95/p99 latency
Generate Terraform datadog_dashboard resource with timeseries_definition widgets
Use APM metrics: trace.web.request.hits, trace.web.request.errors, trace.web.request percentiles
Add template variables for env and service for reuse across environments

Read the full file on GitHub · 186 lines

Changes

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.

8d ago First seen · 186 lines · 57 tokens per session scan A 28fdf714ed0a

Subscribe to this mod's changes

datadog is a command published in the GitHub repository nitinjain999/platform-skills (41 stars, last pushed today), licensed Apache-2.0. It adds 57 tokens to every session and 2,099 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.

Analytics and metrics Cloud DevOps and cloud ai-tools claude-code-plugin copilot-coding-agent grafana kubernetes

datadog

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

Mode: setup

Mode: instrument

Mode: monitor

Mode: dashboard

What this file has done since we first saw it

Other commands, from other repositories

announce

release

issue-tree

environment-switching-local-cloud-ssh

aw-upgrade

perf-investigate