Skip to content
TrustedSkillsbeta
Back to all skills

Datadog Automation

Listed
sickn33·vlatest·devops·MIT

Automates Datadog metric creation, dashboards, monitors, and alerts based on provided configuration files.

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 sickn33/agentic-awesome-skills --skill datadog-automation -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

sickn33

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 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.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/agentic-awesome-skills at c808e6e480.

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

Commit
c808e6e480
Manifest
skills/datadog-automation/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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

datadog-automation

What it does

This skill enables AI agents to interact with Datadog's automation capabilities, allowing for the execution of complex monitoring workflows and infrastructure management tasks directly through natural language. It bridges the gap between agent intent and Datadog's orchestration engine to streamline operational responses.

When to use it

  • Triggering automated incident response playbooks when specific metric thresholds are breached.
  • Orchestrating multi-step infrastructure changes that require coordination across multiple Datadog services.
  • Executing scheduled maintenance routines or health checks without manual intervention.
  • Generating dynamic dashboards or reports based on real-time agent-detected anomalies.

Key capabilities

  • Direct integration with Datadog's automation framework.
  • Execution of predefined playbooks and workflows.
  • Real-time interaction with monitoring data sources.
  • Automated response to system events and alerts.

Example prompts

  • "Run the 'critical-db-failure' playbook immediately if the database latency exceeds 500ms for more than two minutes."
  • "Create a new automation workflow that restarts any container showing high memory usage in the production environment."
  • "Execute the monthly compliance check routine and summarize the results in a report sent to the engineering team."

Tips & gotchas

Ensure your AI agent has the necessary Datadog API permissions to execute playbooks before attempting complex automation tasks. Always validate that the specific playbook names referenced in prompts match exactly with those configured in your Datadog instance to prevent execution failures.