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Datadog

Checked
openhands·vlatest·devops·MIT

Monitors system performance & logs using Datadog integration, providing real-time insights and alerting for faster troubleshooting.

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 openhands/extensions --skill datadog -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

openhands

Taken from the source listing. We haven't verified who controls this account.

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 openhands/skills at 9c140e285e.

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

Commit
9c140e285e
Manifest
skills/datadog/SKILL.md
Scanned
4 files, 234 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 Datadog skill enables AI agents to interact with the Datadog monitoring platform, allowing them to retrieve real-time metrics, logs, and traces for application observability. It facilitates automated incident response by querying dashboards and analyzing system health data directly within the agent's workflow.

When to use it

  • Investigating performance bottlenecks in production environments by pulling live metric data.
  • Automating alert triage by correlating logs with specific error codes or trace IDs.
  • Generating status reports based on current infrastructure health and availability metrics.
  • Debugging distributed system failures by querying cross-service trace data.

Key capabilities

  • Querying real-time application performance metrics (APM).
  • Retrieving and filtering log entries from various sources.
  • Accessing distributed tracing data to map service dependencies.
  • Interacting with Datadog dashboards for visual data analysis.

Example prompts

  • "Check the CPU and memory usage for our main API service over the last hour."
  • "Find all error logs related to database connection timeouts in the past 15 minutes."
  • "Analyze the trace for request ID abc-123 to identify where latency is occurring."

Tips & gotchas

Ensure your AI agent has valid API credentials with appropriate read permissions configured before attempting to query data. Be mindful of Datadog's rate limits when running high-frequency automated checks to avoid triggering throttling mechanisms.