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Datadog Cli

Skills ai-research 101 Scanned by NVIDIA SkillSpector

Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

Install Command
npx claude-code-templates@latest --skill ai-research/datadog-cli
View on GitHub
claude-code — datadog-cli

Scanned by NVIDIA SkillSpector

Automated static analysis (no LLM) · v2.12.0 · 2026-10-17

Partial analysis: some checks could not run on this component.

71 observations
scanner score 38/100

SkillSpector looks for patterns such as shell commands, credential access, network calls or unpinned dependencies. An observation is something worth reading in the files before you install, not a confirmed vulnerability. Components that run code locally, like hooks, MCP servers and security tooling, naturally show more of them.

  • Credential Access
    Privilege Escalation · README.md:26
  • Credential Access
    Privilege Escalation · SKILL.md:28
  • MCP server referenced without pinned version: 'npx @leoflores/datadog-cli'. ×14
    MCP Rug Pull · SKILL.md:33
  • MCP server referenced without pinned version: 'npx @leoflores/datadog-cli'. ×14
    MCP Rug Pull · references/dashboards.md:15
  • MCP server referenced without pinned version: 'npx @leoflores/datadog-cli'. ×16
    MCP Rug Pull · references/logs-commands.md:8

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Content

Datadog CLI

A CLI tool for AI agents to debug and triage using Datadog logs and metrics.

Required Reading

You MUST read the relevant reference docs before using any command:

Setup

Environment Variables (Required)

bash
export DD_API_KEY="your-api-key"
export DD_APP_KEY="your-app-key"

Get keys from: https://app.datadoghq.com/organization-settings/api-keys

Running the CLI

bash
npx @leoflores/datadog-cli <command>

For non-US Datadog sites, use --site flag:

bash
npx @leoflores/datadog-cli logs search --query "*" --site datadoghq.eu

Commands Overview

Command Description
logs search Search logs with filters
logs tail Stream logs in real-time
logs trace Find logs for a distributed trace
logs context Get logs before/after a timestamp
logs patterns Group similar log messages
logs compare Compare log counts between periods
logs multi Run multiple queries in parallel
logs agg Aggregate logs by facet
metrics query Query timeseries metrics
errors Quick error summary by service/type
services List services with log activity
dashboards Manage dashboards (CRUD)
dashboard-lists Manage dashboard lists

Quick Examples

Search Errors

bash
npx @leoflores/datadog-cli logs search --query "status:error" --from 1h --pretty

Tail Logs (Real-time)

bash
npx @leoflores/datadog-cli logs tail --query "service:api status:error" --pretty

Error Summary

bash
npx @leoflores/datadog-cli errors --from 1h --pretty

Trace Correlation

bash
npx @leoflores/datadog-cli logs trace --id "abc123def456" --pretty

Query Metrics

bash
npx @leoflores/datadog-cli metrics query --query "avg:system.cpu.user{*}" --from 1h --pretty

Compare Periods

bash
npx @leoflores/datadog-cli logs compare --query "status:error" --period 1h --pretty

Global Flags

Flag Description
--pretty Human-readable output with colors
--output <file> Export results to JSON file
--site <site> Datadog site (e.g., datadoghq.eu)

Time Formats

  • Relative: 30m, 1h, 6h, 24h, 7d
  • ISO 8601: 2024-01-15T10:30:00Z

Incident Triage Workflow

bash
# 1. Quick error overview
npx @leoflores/datadog-cli errors --from 1h --pretty

# 2. Is this new? Compare to previous period
npx @leoflores/datadog-cli logs compare --query "status:error" --period 1h --pretty

# 3. Find error patterns
npx @leoflores/datadog-cli logs patterns --query "status:error" --from 1h --pretty

# 4. Narrow down by service
npx @leoflores/datadog-cli logs search --query "status:error service:api" --from 1h --pretty

# 5. Get context around a timestamp
npx @leoflores/datadog-cli logs context --timestamp "2024-01-15T10:30:00Z" --service api --pretty

# 6. Follow the distributed trace
npx @leoflores/datadog-cli logs trace --id "TRACE_ID" --pretty

See workflows.md for more debugging workflows.

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