Agent skill

Datadog

Query Datadog observability data (logs, metrics, monitors, dashboards, hosts) via direct API.

Install Datadog

skills CLI

$ npx skills add letta-ai/skills --skill datadog -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install letta-ai/skills datadog --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/letta-ai/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tools/datadog .claude/skills/datadog && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "datadog" agent skill from https://github.com/letta-ai/skills/tree/main/tools/datadog into .claude/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/letta-ai/skills/tree/main/tools/datadog

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add letta-ai/skills --skill datadog -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install letta-ai/skills datadog --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/letta-ai/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tools/datadog .agents/skills/datadog && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "datadog" agent skill from https://github.com/letta-ai/skills/tree/main/tools/datadog into .agents/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add letta-ai/skills --skill datadog -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install letta-ai/skills datadog --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/letta-ai/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tools/datadog .cursor/skills/datadog && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "datadog" agent skill from https://github.com/letta-ai/skills/tree/main/tools/datadog into .cursor/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/letta-ai/skills.git --path tools/datadog

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add letta-ai/skills --skill datadog -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install letta-ai/skills datadog --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/letta-ai/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tools/datadog .gemini/skills/datadog && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "datadog" agent skill from https://github.com/letta-ai/skills/tree/main/tools/datadog into .gemini/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install letta-ai/skills datadog

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add letta-ai/skills --skill datadog -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/letta-ai/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/tools/datadog .github/skills/datadog && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "datadog" agent skill from https://github.com/letta-ai/skills/tree/main/tools/datadog into .github/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add letta-ai/skills --skill datadog -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install letta-ai/skills datadog --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/letta-ai/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tools/datadog .opencode/skills/datadog && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "datadog" agent skill from https://github.com/letta-ai/skills/tree/main/tools/datadog into .opencode/skills/datadog/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "datadog", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: datadog
GitHub stars: 149
Token cost: ~792 tokens
SKILL.md length: 129 words
Files: 7 (incl. scripts, assets)
Skills in repo: 22
Repo updated: Oct 1, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Query Datadog observability data (logs, metrics, monitors, dashboards, hosts) via direct API.

Investigating production issues
SKILL.md covers Prerequisites, Quick Start, Commands and Time Formats, plus 2 more sections
Runs TypeScript scripts from its folder; calls npx; needs DD_API_KEY and DD_APP_KEY
Checking monitors

What it does

Datadog is an agent skill from letta-ai/skills. Query Datadog observability data (logs, metrics, monitors, dashboards, hosts) via direct API. Use when investigating production issues, checking monitors, searching logs, or accessing Datadog data.

Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and assets (for example `scripts/datadog.ts`, `scripts/package-lock.json` and `scripts/package.json`).

It sits in DevOps & Cloud, covering Observability. It works with Datadog. The repository describes itself as: A shared repository for skills. Intended to be used with Letta Code, Claude Code, Codex CLI, and other agents that support skills. The licence is MIT.

When your agent uses it

Investigating production issues
Checking monitors
Accessing Datadog data

Example prompts

“/datadog”

Requirements

Node.js
A credential in DD_API_KEY
A credential in DD_APP_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 6785511. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (TypeScript), which the agent can run.
Shell commands in SKILL.md call:
- npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- DD_API_KEY
- DD_APP_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Datadog loads about 792 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 129 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~51
When it runs · the whole SKILL.md, loaded when a task matches: ~792

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from letta-ai/skills at commit 6785511, republished under its MIT licence (© letta-ai). 129 words, ~792 tokens.

Download SKILL.mdSave it as .claude/skills/datadog/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.

name: datadog
description: Query Datadog observability data (logs, metrics, monitors, dashboards, hosts) via direct API. Use when investigating production issues, checking monitors, searching logs, or accessing Datadog data.

Datadog CLI

Direct API access to Datadog observability data — logs, metrics, monitors, dashboards, hosts, and APM spans.

Prerequisites

Set these environment variables:

bash

export DD_API_KEY="your-32-char-hex-api-key"
export DD_APP_KEY="your-application-key"
export DD_SITE="us5.datadoghq.com"  # or datadoghq.com, datadoghq.eu, etc.

Get keys from Datadog:

API Key: Organization Settings → API Keys
App Key: Organization Settings → Application Keys

Required scopes (for read-only access):

dashboards_read, monitors_read, metrics_read, logs_read_data, incidents_read, hosts_read, apm_read

Quick Start

bash

# Test credentials
npx tsx <skill-path>/scripts/datadog.ts validate

# Search logs
npx tsx <skill-path>/scripts/datadog.ts search-logs "status:error" --from -1h

# Query metrics
npx tsx <skill-path>/scripts/datadog.ts query-metrics "avg:system.cpu.user{*}" --from -4h

# List monitors
npx tsx <skill-path>/scripts/datadog.ts list-monitors

Commands

Logs

bash

# Search logs (default: last hour, 50 results)
npx tsx <skill-path>/scripts/datadog.ts search-logs "service:api status:error"
npx tsx <skill-path>/scripts/datadog.ts search-logs "env:prod" --from -30m --limit 100

Metrics

bash

# Query metric timeseries
npx tsx <skill-path>/scripts/datadog.ts query-metrics "avg:system.cpu.user{*}" --from -4h
npx tsx <skill-path>/scripts/datadog.ts query-metrics "sum:requests.count{service:api}.as_count()" --from -1d

Monitors

bash

# List all monitors
npx tsx <skill-path>/scripts/datadog.ts list-monitors

# Filter monitors
npx tsx <skill-path>/scripts/datadog.ts list-monitors --query "status:alert"

# Get specific monitor
npx tsx <skill-path>/scripts/datadog.ts get-monitor 12345

Dashboards

bash

npx tsx <skill-path>/scripts/datadog.ts list-dashboards

Hosts

bash

npx tsx <skill-path>/scripts/datadog.ts list-hosts
npx tsx <skill-path>/scripts/datadog.ts list-hosts --filter "env:production"

Incidents

bash

npx tsx <skill-path>/scripts/datadog.ts list-incidents

APM (Spans & Services)

bash

# Search spans
npx tsx <skill-path>/scripts/datadog.ts search-spans "service:api @http.status_code:500" --from -1h

# List services
npx tsx <skill-path>/scripts/datadog.ts list-services

Time Formats

The --from and --to flags accept:

Relative: -1h, -30m, -1d, -4h
ISO 8601: 2026-03-20T00:00:00Z

Datadog Sites

Region	DD_SITE value
US1	`datadoghq.com`
US3	`us3.datadoghq.com`
US5	`us5.datadoghq.com`
EU	`datadoghq.eu`
AP1	`ap1.datadoghq.com`

Troubleshooting

403 Forbidden:

Check DD_SITE matches your Datadog region
Verify app key has required scopes
Confirm API key is active

Credentials not found:

Ensure DD_API_KEY and DD_APP_KEY are exported
Check for typos in env var names

Files

SKILL.md and 6 other files (scripts, assets) in tools/datadog of letta-ai/skills.

SKILL.md
LICENSE
assets/datadog-small.svg
assets/datadog.png
scripts/datadog.ts
scripts/package-lock.json
scripts/package.json

Open the folder on GitHubat commit 6785511

Compare with similar skills

Datadog next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Datadog compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Datadog this skillletta-ai/skills	149	—	~792	Automated safety check: Pass	MIT	8 days ago
Apm IntegrationsDataDog/dd-trace-java	736	—	~3.7k	Automated safety check: Notes	Apache-2.0	today
Redis Observabilityredis/agent-skills	166	2 repos	~911	Automated safety check: Pass	MIT	1 mo ago
Frontmcp Observabilityagentfront/frontmcp	146	—	~4.6k	Automated safety check: Pass	Apache-2.0	today
Monitoring Observabilityahmedasmar/devops-claude-skills	203	—	~3.9k	Automated safety check: Pass	None	6 mo ago
Observability Architecturemajiayu000/litellm-rs	117	—	~1.3k	Automated safety check: Pass	MIT	yesterday

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Questions about Datadog

What does Datadog do?

Query Datadog observability data (logs, metrics, monitors, dashboards, hosts) via direct API. Datadog is an agent skill from letta-ai/skills. Query Datadog observability data (logs, metrics, monitors, dashboards, hosts) via direct API.

When should I use Datadog?

Datadog fits situations like: investigating production issues; checking monitors; accessing Datadog data.

How do I install Datadog in Claude Code?

Run `npx skills add letta-ai/skills --skill datadog -a claude-code`. Or copy the skill folder (tools/datadog in letta-ai/skills) into .claude/skills/datadog in your project. Claude Code loads it when a task matches its description.

How do I install Datadog in Codex?

Run `npx skills add letta-ai/skills --skill datadog -a codex`. Or copy the skill folder (tools/datadog in letta-ai/skills) into .agents/skills/datadog in your project. Codex loads it when a task matches its description.

Can I use Datadog in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add letta-ai/skills --skill datadog -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/datadog, .gemini/skills/datadog, .github/skills/datadog and .opencode/skills/datadog in your project.

What does Datadog need to run?

Going by SKILL.md and its folder, Datadog needs TypeScript for the scripts in its folder, the command-line tools its instructions call (npx) and credentials named DD_API_KEY and DD_APP_KEY. Our summary lists: Node.js; A credential in DD_API_KEY; A credential in DD_APP_KEY.

Does Datadog access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Datadog safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Datadog use?

Datadog is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Datadog use?

About 792 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Datadog?

Skills that share tags, products or a category with Datadog: Apm Integrations (DataDog/dd-trace-java, 736 stars), Redis Observability (redis/agent-skills, 166 stars), Frontmcp Observability (agentfront/frontmcp, 146 stars) and Monitoring Observability (ahmedasmar/devops-claude-skills, 203 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Datadog?

letta-ai (a GitHub organization) maintains it in letta-ai/skills, which has 149 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on October 1, 2026.

Source: letta-ai/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Datadog

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Datadog CLI

Prerequisites

Quick Start

Commands

Logs

Metrics

Monitors

Dashboards

Hosts

Incidents

APM (Spans & Services)

Time Formats

Datadog Sites

Troubleshooting

Files

Compare with similar skills

Similar skills

More from letta-ai/skills

Related

Questions about Datadog