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Dd Logs

Official
datadog-labs·vlatest·devops·MIT

DD Logs provides instant insights into your application logs by querying Datadog's log data directly within the agent, simplifying troubleshooting and analysis.

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-logs --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-logs/SKILL.md
Scanned
1 file, 191 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-logs skill enables AI agents to interact with Datadog's logging infrastructure, allowing them to retrieve, filter, and analyze log data directly from the platform. It provides access to real-time monitoring and historical logs to support operational troubleshooting and system health checks.

When to use it

  • Investigating application errors or performance bottlenecks by querying specific error messages in Datadog.
  • Monitoring service availability and uptime by analyzing log streams for downtime indicators.
  • Automating root cause analysis workflows by correlating log events with other Datadog metrics.
  • Generating compliance reports by extracting and summarizing audit logs from critical systems.

Key capabilities

  • Querying logs using Datadog's standard search syntax.
  • Filtering results by time range, service name, or severity level.
  • Retrieving raw log lines for detailed inspection.
  • Aggregating log data to identify common patterns or anomalies.

Example prompts

  • "Show me all ERROR logs from the payment-service in the last hour."
  • "Summarize any critical alerts related to database connectivity in Datadog over the past 24 hours."
  • "Find logs containing 'timeout' for the api-gateway service between 10:00 AM and 11:00 AM today."

Tips & gotchas

Ensure your AI agent has the necessary Datadog API credentials with read permissions on the logs you intend to query. Be mindful of query complexity, as overly broad searches may hit rate limits or return excessive data; always specify time ranges when possible.