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Datadog

Listed
bagelhole·vlatest·devops·MIT

This skill integrates Datadog into your workflows, providing real-time monitoring and alerting for enhanced observability and faster issue resolution.

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 bagelhole/devops-security-agent-skills --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

bagelhole

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 2 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: s3.amazonaws.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

    s3.amazonaws.comundeclared

    What it found

    • devops/observability/datadog/SKILL.md:35contacts s3.amazonaws.com
      DD_API_KEY=<YOUR_API_KEY> DD_SITE="datadoghq.com" bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_agent7.sh)"

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • devops/observability/datadog/SKILL.md:35remote script run via command substitution
      DD_API_KEY=<YOUR_API_KEY> DD_SITE="datadoghq.com" bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script_agent7.sh)"

  • 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.

  • Pinned to a commit: passed

    Scanned bagelhole/devops-security-agent-skills at 0365f57a07.

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

Commit
0365f57a07
Manifest
devops/observability/datadog/SKILL.md
Scanned
2 files, 532 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 bagelhole-datadog skill allows AI agents to interact with Datadog, a monitoring and analytics platform. It enables querying metrics, logs, and traces within your Datadog environment. This facilitates automated troubleshooting, performance analysis, and incident response based on data stored in Datadog.

When to use it

  • Incident Response: Automatically investigate alerts triggered by Datadog by querying related logs and metrics.
  • Performance Troubleshooting: Identify bottlenecks or anomalies in your infrastructure by analyzing Datadog dashboards and traces.
  • Capacity Planning: Analyze historical trends within Datadog to predict future resource needs.
  • Security Audits: Retrieve security-related data from Datadog, such as unusual login attempts or suspicious network activity.

Key capabilities

  • Query metrics stored in Datadog.
  • Access and analyze logs collected by Datadog.
  • Retrieve traces for performance profiling.

Example prompts

  • "Show me the CPU utilization of my web servers over the last hour."
  • "What errors are appearing in my application logs?"
  • "Find all trace spans longer than 5 seconds related to order processing."

Tips & gotchas

  • Requires appropriate Datadog API keys and permissions for the AI agent.
  • The skill's effectiveness depends on how well your infrastructure is instrumented within Datadog.