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Dd Monitors

Official
datadog-labs·vlatest·devops·MIT

DD Monitors provides real-time dashboards & alerts for your Datadog metrics, proactively identifying performance issues and ensuring service health.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add datadog-labs/agent-skills --skill dd-monitors --full-depth -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

datadog-labs

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned datadog-labs/agent-skills at 9f3a8b065b.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
9f3a8b065b
Manifest
dd-monitors/SKILL.md
Scanned
1 file, 176 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The DD Monitors skill enables AI agents to interact with Datadog monitors for alerting. It allows you to list existing monitors, retrieve monitor details based on their ID, and create new monitors using JSON configuration files. This facilitates proactive identification of performance issues and ensures the health of your services by managing alerts within your Datadog environment. The skill leverages pup, a command-line tool for interacting with Datadog.

When to use it

  • You need to quickly list all existing monitors in your Datadog account or filter them based on tags (e.g., team, environment).
  • You want to retrieve the configuration details of a specific monitor by its ID.
  • You're creating new monitors and need to automate their creation using JSON files.
  • You need to temporarily silence alerts (create downtime) for planned maintenance or troubleshooting.

Key capabilities

  • List Monitors: Retrieve a list of all monitors, optionally filtered by tags.
  • Get Monitor Details: Fetch the configuration details of a specific monitor given its ID.
  • Create Monitors: Create new monitors using JSON files defining their configurations.
  • Silence Alerts (Downtime): Temporarily silence alerts by creating and canceling downtime periods, also defined via JSON files.

Example prompts

  • "List all Datadog monitors tagged with 'team:platform'."
  • "Get the details of monitor ID 12345."
  • "Create a new monitor using the configuration in monitor.json."
  • "Silence alerts for the next hour by creating a downtime period from downtime.json."

Tips & gotchas

  • Prerequisites: This skill requires pup to be installed and configured with valid Datadog authentication (using pup auth login). Ensure pup is in your system's PATH.
  • Monitor Creation Best Practices: Avoid creating overly sensitive monitors that lead to alert fatigue. Use appropriate scoping, recovery thresholds, and include contextual information within alert messages for actionable responses.
  • Safe Deletion: Do not directly delete monitors. Instead, use the safe deletion workflow by marking them for deletion first.