MCPInstall

dd-logs

by datadog-labs OfficialAI & Agents

Log management - search, archives, metrics, and cost control.

Installs
2.1K
Last 24h
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Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/datadog-labs/agent-skills --skill dd-logs
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads dd-logs automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Datadog Logs

Search, process, and archive logs with cost awareness.

Prerequisites

Datadog Pup should already be installed. See Setup Pup if not.

Command Execution Order (Token-Efficient)

For scoped commands, use this order:

  1. Check context first (prior outputs, conversation, saved values).
  2. If a required value is missing, run a discovery command first.
  3. If still ambiguous, ask the user to confirm.
  4. Then run the target command.
  5. Avoid speculative commands likely to fail.

Quick Start

pup auth login

Search Logs

# Basic search
pup logs search --query="status:error" --from="1h"

# With filters
pup logs search --query="service:api status:error" --from="1h" --limit 100

# JSON output
pup logs search --query="@http.status_code:>=500" --from="1h"

Search Syntax

QueryMeaning
errorFull-text search
status:errorTag equals
@http.status_code:500Attribute equals
@http.status_code:>=400Numeric range
service:api AND env:prodBoolean
@message:*timeout*Wildcard

Configuration APIs

Available log configuration commands in pup 0.42.0:

# List log archives
pup logs archives list

# List log restriction queries
pup logs restriction-queries list

# List custom log destinations
pup logs custom-destinations list

Common Processors

{
  "name": "API Logs",
  "filter": {"query": "service:api"},
  "processors": [
    {
      "type": "grok-parser",
      "name": "Parse nginx",
      "source": "message",
      "grok": {"match_rules": "%{IPORHOST:client_ip} %{DATA:method} %{DATA:path} %{NUMBER:status}"}
    },
    {
      "type": "status-remapper",
      "name": "Set severity",
      "sources": ["level", "severity"]
    },
    {
      "type": "attribute-remapper",
      "name": "Remap user_id",
      "sources": ["user_id"],
      "target": "usr.id"
    }
  ]
}

Exclusion Filters (Cost Control)

Index only what matters:

{
  "name": "Drop debug logs",
  "filter": {"query": "status:debug"},
  "is_enabled": true
}

High-Volume Exclusions

# Find noisiest log sources
pup logs search --query="*" --from="1h" | jq 'group_by(.service) | map({service: .[0].service, count: length}) | sort_by(-.count)[:10]'
ExcludeQuery
Health checks@http.url:"/health" OR @http.url:"/ready"
Debug logsstatus:debug
Static assets@http.url:*.css OR @http.url:*.js
Heartbeats@message:*heartbeat*

Archives

Store logs cheaply for compliance:

# List archives
pup logs archives list

# Archive config (S3 example)
{
  "name": "compliance-archive",
  "query": "*",
  "destination": {
    "type": "s3",
    "bucket": "my-logs-archive",
    "path": "/datadog"
  },
  "rehydration_tags": ["team:platform"]
}

Rehydrate (Restore)

# No `pup logs rehydrate` command in pup 0.42.0.
# Use Datadog UI/API for rehydration workflows.

Log-Based Metrics

Create metrics from logs (cheaper than indexing):

# List log-based metrics
pup logs metrics list

# Get one metric by ID
pup logs metrics get api.errors.count

Cardinality warning: Group by bounded values only.

Sensitive Data

Scrubbing Rules

{
  "type": "hash-remapper",
  "name": "Hash emails",
  "sources": ["email", "@user.email"]
}

Never Log

# In your app - sanitize before sending
import re

def sanitize_log(message: str) -> str:
    # Remove credit cards
    message = re.sub(r'\b\d{4}[-\s]?\d{4}[-\s]?\d{4}[-\s]?\d{4}\b', '[REDACTED]', message)
    # Remove SSNs
    message = re.sub(r'\b\d{3}-\d{2}-\d{4}\b', '[REDACTED]', message)
    return message

Troubleshooting

ProblemFix
Logs not appearingCheck agent, pipeline filters
High costsAdd exclusion filters
Search slowNarrow time range, use indexes
Missing attributesCheck grok parser

References/Documentation

FAQ

What does the dd-logs skill do?

Log management - search, archives, metrics, and cost control.

How do I install dd-logs?

Run npx skills add https://github.com/datadog-labs/agent-skills --skill dd-logs in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/dd-logs/ (personal) or .claude/skills/dd-logs/ (project).

Which AI agents can use dd-logs?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is dd-logs safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains dd-logs?

It is published by datadog-labs in datadog-labs/agent-skills, and it is an official skill from the maker of the technology it covers. It has 2,068 recorded installs.

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