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Dd Apm

Official
datadog-labs·vlatest·devops·MIT

Dd Apm provides APM metrics and insights from Datadog, helping you monitor application performance and troubleshoot issues quickly.

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-apm --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-apm/SKILL.md
Scanned
1 file, 174 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-apm skill enables AI agents to interact with Datadog Application Performance Monitoring, allowing them to query metrics, logs, and traces directly. It facilitates real-time observability by letting agents retrieve specific data points or generate dashboards without manual API configuration. This integration streamlines the debugging process for automated systems monitoring distributed applications.

When to use it

  • Automating root cause analysis by having an agent fetch error logs correlated with specific trace IDs during a deployment failure.
  • Generating dynamic performance dashboards in Datadog based on real-time metric thresholds detected by an AI system.
  • Querying custom application metrics to trigger automated scaling actions when latency exceeds defined limits.
  • Retrieving historical APM data to analyze trends in database query performance over the last 24 hours.

Key capabilities

  • Direct querying of Datadog Application Performance Monitoring (APM) data sources.
  • Access to metrics, logs, and traces within the Datadog ecosystem.
  • Real-time data retrieval for immediate decision-making by AI agents.

Example prompts

  • "Fetch the top 10 slowest database queries from the last hour in Datadog."
  • "Create a new dashboard showing API latency trends for the payment-service microservice."
  • "Analyze the trace associated with error ID abc-123 and summarize the failure path."

Tips & gotchas

Ensure your AI agent has valid Datadog API credentials with appropriate read permissions before attempting to query metrics. Complex queries may require specific knowledge of Datadog's metric naming conventions to return accurate results.