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Datadog Cli

Checked
softaworks·vlatest·devops·MIT

The Datadog CLI allows you to automate monitoring and reporting tasks within Datadog from your terminal, saving time and streamlining workflows.

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 softaworks/agent-toolkit --skill datadog-cli -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

softaworks

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 softaworks/agent-toolkit at 3027f20f31.

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

Commit
3027f20f31
Manifest
skills/datadog-cli/SKILL.md
Scanned
7 files, 624 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 datadog-cli skill enables AI agents to interact with Datadog's infrastructure monitoring and analytics platform directly from the command line. It allows agents to execute CLI commands, manage resources, and retrieve operational metrics without requiring manual API key configuration in every script.

When to use it

  • Automating routine infrastructure health checks and alerting verification.
  • Deploying Datadog agents or managing configurations across multiple environments via code.
  • Retrieving real-time performance metrics for analysis within an AI agent's decision loop.
  • Executing ad-hoc troubleshooting commands on monitored servers or containers.

Key capabilities

  • Direct execution of Datadog CLI commands from within the agent environment.
  • Integration with the softaworks/agent-toolkit ecosystem for standardized tool usage.
  • Streamlined access to Datadog's monitoring and observability features programmatically.

Example prompts

  1. "Use the datadog-cli skill to check the current status of our database cluster in the production environment."
  2. "Run a diagnostic command via datadog-cli to identify any recent spikes in memory usage across our web servers."
  3. "Execute the datadog-agent install command using the datadog-cli skill to update our monitoring agents on the staging fleet."

Tips & gotchas

Ensure your AI agent has the necessary authentication credentials configured within the softaworks/agent-toolkit before attempting to execute commands, as the CLI relies on valid API access. Be mindful of rate limits imposed by Datadog when running high-frequency automated checks through the CLI interface.