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Dd Docs

Official
datadog-labs·vlatest·writing·MIT

Dd Docs provides instant access to Datadog documentation within your chat, streamlining troubleshooting and accelerating learning for DD users.

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-docs --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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: docs.datadoghq.com.

    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.

    Hosts contacted

    docs.datadoghq.comundeclared

    What it found (3 of 6)

    • dd-docs/SKILL.md:33contacts docs.datadoghq.com
      curl -s https://docs.datadoghq.com/llms.txt | head -100
    • dd-docs/SKILL.md:41contacts docs.datadoghq.com
      curl -s https://docs.datadoghq.com/llms.txt | grep -i "monitors"
    • dd-docs/SKILL.md:42contacts docs.datadoghq.com
      curl -s https://docs.datadoghq.com/llms.txt | grep -i "apm"

  • 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 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-docs/SKILL.md
Scanned
1 file, 68 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

The dd-docs skill provides access to Datadog documentation and resources, enabling AI agents to retrieve technical information, troubleshooting guides, and best practices directly from the official knowledge base. It serves as a bridge between agent queries and verified Datadog operational data.

When to use it

  • Resolving specific errors or anomalies in Datadog dashboards by querying official resolution steps.
  • Retrieving syntax details for Datadog-specific integrations, APIs, or monitoring configurations.
  • Finding best practices for setting up infrastructure monitoring within the Datadog ecosystem.
  • Accessing release notes or migration guides for Datadog product updates.

Key capabilities

  • Search and retrieve official Datadoc documentation content.
  • Provide context-aware answers based on current Datadog features.
  • Link agents to relevant external resources and knowledge articles.

Example prompts

  • "How do I configure a custom alert in Datadog for high CPU usage?"
  • "What are the best practices for setting up log forwarding with Datadog?"
  • "Find the documentation for the Datadog Kubernetes integration."

Tips & gotchas

Ensure your AI agent has internet access to fetch live documentation updates, as this skill relies on external content. Verify that the specific Datadog product version you are querying matches the current documentation available in the index.