Agent skill

Dd Pup

by datadog-labs in datadog-labs/agent-skills

Datadog CLI (Rust). An agent skill from datadog-labs/agent-skills.

Install Dd Pup

skills CLI

$ npx skills add datadog-labs/agent-skills --skill dd-pup -a claude-code

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

GitHub CLI

$ gh skill install datadog-labs/agent-skills dd-pup --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/datadog-labs/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/dd-pup .claude/skills/dd-pup && 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 "dd-pup" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-pup into .claude/skills/dd-pup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-pup", 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/datadog-labs/agent-skills/tree/main/dd-pup

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 datadog-labs/agent-skills --skill dd-pup -a codex

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

GitHub CLI

$ gh skill install datadog-labs/agent-skills dd-pup --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/dd-pup .agents/skills/dd-pup && 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 "dd-pup" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-pup into .agents/skills/dd-pup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-pup", 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 datadog-labs/agent-skills --skill dd-pup -a cursor

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

GitHub CLI

$ gh skill install datadog-labs/agent-skills dd-pup --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/dd-pup .cursor/skills/dd-pup && 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 "dd-pup" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-pup into .cursor/skills/dd-pup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-pup", 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/datadog-labs/agent-skills.git --path dd-pup

--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 datadog-labs/agent-skills --skill dd-pup -a gemini-cli

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

GitHub CLI

$ gh skill install datadog-labs/agent-skills dd-pup --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/datadog-labs/agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/dd-pup .gemini/skills/dd-pup && 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 "dd-pup" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-pup into .gemini/skills/dd-pup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-pup", 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 datadog-labs/agent-skills dd-pup

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 datadog-labs/agent-skills --skill dd-pup -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/dd-pup .github/skills/dd-pup && 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 "dd-pup" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-pup into .github/skills/dd-pup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-pup", 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 datadog-labs/agent-skills --skill dd-pup -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 datadog-labs/agent-skills dd-pup --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/dd-pup .opencode/skills/dd-pup && 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 "dd-pup" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/dd-pup into .opencode/skills/dd-pup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-pup", 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: dd-pup
GitHub stars: 177
Used in: 1 other repo
Token cost: ~3.1k tokens
SKILL.md length: 647 words
Files: 1
Skills in repo: 38
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Datadog CLI (Rust). An agent skill from datadog-labs/agent-skills.

Works in 5 steps: Check context first (conversation… → If missing, run a discovery command… → If still missing or ambiguous, ask the… → …
Tasks that involve OAuth and OpenID Connect
SKILL.md covers Quick Reference, Prerequisites, Required Input Resolution and Auth, plus 2 more sections
Calls jq; needs DD_API_KEY and DD_APP_KEY

What it does

Dd Pup is an agent skill from datadog-labs/agent-skills. Datadog CLI (Rust). OAuth2 auth with token refresh.

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering OAuth and OpenID Connect. It works with Datadog and Rust. The repository describes itself as: Public repository for Datadog Agent Skills. The licence is MIT.

When your agent uses it

Tasks that involve OAuth and OpenID Connect

Example prompts

“/dd-pup”

Requirements

A credential in DD_API_KEY
A credential in DD_APP_KEY

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

Check context first (conversation history, prior command output, saved variables).
If missing, run a discovery command first (list/search) to get valid values.
If still missing or ambiguous, ask the user to confirm the exact value.
Then run the target command.
Never run commands with unresolved placeholders like or .

What it can do on your machine

Read from SKILL.md and the folder at commit 5b40c73. 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
Shell commands in SKILL.md call:
- jq
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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

Dd Pup loads about 3.1k tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 647 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~15
When it runs · the whole SKILL.md, loaded when a task matches: ~3.1k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from datadog-labs/agent-skills at commit 5b40c73, republished under its MIT licence (© datadog-labs). 647 words, ~3,123 tokens.

Download SKILL.mdSave it as .claude/skills/dd-pup/SKILL.md (or your agent's skills folder).

name: dd-pup
description: Datadog CLI (Rust). OAuth2 auth with token refresh.
metadata.version: 1.0.2
metadata.author: datadog-labs
metadata.repository: https://github.com/datadog-labs/agent-skills
metadata.tags: datadog,cli,dd-pup,pup
metadata.alwaysApply: false

pup (Datadog CLI)

Pup CLI for Datadog API operations. Supports OAuth2 and API key auth.

Quick Reference

Task	Command
Search error logs	`pup logs search --query "status:error" --from 1h`
List monitors	`pup monitors list`
Diff a monitor definition	`pup monitors diff <monitor-id> monitor.json`
Schedule monitor downtime	`pup downtime create --file downtime.json`
Open a dashboard at a live time window	`pup dashboards url <dashboard-id> --from now-1h --to now --live true`
Find recent slow traces for a service (last 1h)	`pup traces search --query "service:<service-name> @duration:>500ms" --from 1h`
List incidents	`pup incidents list --limit 50`
Import incident payload	`pup incidents import --file incident.json`
Query metrics	`pup metrics query --query "avg:system.cpu.user{*}"`
List hosts	`pup infrastructure hosts list --count 50`
Check SLOs	`pup slos list`
On-call teams	`pup on-call teams list`
Triage open critical security signals (last 1h)	`pup security signals list --query "status:open severity:critical" --from 1h --limit 100`
Search audit logs	`pup audit-logs search --query "@action:deleted" --from 24h`
Audit activity by user	`pup audit-logs search --query "@usr.email:user@example.com" --from 7d`
Investigate API key	`pup audit-logs search --query "@metadata.api_key.id:KEY_ID" --from 90d`
Check auth	`pup auth status`
Token expiry (time left)	`pup auth status`
Refresh token	`pup auth refresh`

Prerequisites

Install pup using the setup instructions.

Required Input Resolution

For commands that need specific scope values (<env>, <service-name>, <team-id>, resource IDs), use this order:

Check context first (conversation history, prior command output, saved variables).
If missing, run a discovery command first (list/search) to get valid values.
If still missing or ambiguous, ask the user to confirm the exact value.
Then run the target command.
Never run commands with unresolved placeholders like <env> or <monitor-id>.

Auth

bash

pup auth login          # OAuth2 browser flow (recommended)
pup auth status         # Check token validity
pup auth refresh        # Refresh expired token (no browser)
pup auth logout         # Clear credentials

Tokens expire (~1 hour). If a command fails with 401/403 mid-conversation:

bash

pup auth refresh        # Try refresh first
pup auth login          # If refresh fails, full re-auth

If Chrome opens the wrong profile/window, use the one-time OAuth URL printed by pup auth login (If the browser doesn't open, visit: ...) and open that link manually in the correct account session.

Headless/CI (no browser)

bash

# Use env vars or:
export DD_API_KEY=your-api-key
export DD_APP_KEY=your-app-key
export DD_SITE=datadoghq.com    # or datadoghq.eu, etc.

Command Reference

Monitors

bash

pup monitors list --limit 10
pup monitors list --tags "env:<env>"
pup monitors get <monitor-id>
pup monitors search --query "<monitor-name>"
pup monitors create --file monitor.json
pup monitors update <monitor-id> --file monitor.json
pup monitors diff <monitor-id> monitor.json
pup monitors delete <monitor-id>
# No pup monitors mute/unmute commands; use downtime payloads instead.
pup downtime create --file downtime.json

Logs

bash

pup logs search --query "status:error" --from 1h
pup logs search --query "service:<service-name>" --from 1h --limit 100
pup logs search --query "@http.status_code:5*" --from 24h
pup logs search --query "env:<env> level:error" --from 1h
pup logs aggregate --query "service:<service-name>" --compute count --from 1h

Metrics

bash

pup metrics query --query "avg:system.cpu.user{*}" --from 1h --to now
pup metrics query --query "sum:trace.express.request.hits{service:<service-name>}" --from 1h --to now
pup metrics list --filter "system.*"

APM / Traces

bash

# Confirm env tag with the user first (do not assume production/prod/prd).
pup apm services list --env <env> --from 1h --to now
pup traces search --query "service:<service-name>" --from 1h
pup traces search --query "service:<service-name> @duration:>500ms" --from 1h
pup traces search --query "service:<service-name> status:error" --from 1h

Incidents

bash

pup incidents list --limit 50
pup incidents get <incident-id>
pup incidents import --file incident.json

Dashboards

bash

pup dashboards list
pup dashboards get <dashboard-id> --read-only
pup dashboards url <dashboard-id> --from now-1h --to now --live true
pup dashboards create --file dashboard.json
pup dashboards update <dashboard-id> --file dashboard.json
pup dashboards delete <dashboard-id>

Show full SKILL.md (368 more words)Show less

Safe dashboard create, clone, and update workflow

The goal is a recoverable source and a verified destination. A successful API response alone does not prove that widget content or placement was preserved.

Fetch the source or update target with --read-only and save the exact response as an immutable snapshot. Never overwrite this file with transformed JSON.
bash
```
pup dashboards get <dashboard-id> --read-only -o json > dashboard-source.json
```
Build a separate mutation payload. Remove response-only fields before create/update: author_handle, author_name, created_at, id, modified_at, and url.
bash
```
jq 'del(.author_handle, .author_name, .created_at, .id, .modified_at, .url)' \
  dashboard-source.json > dashboard-payload.json
```
For a backup or clone, leave the source dashboard unchanged and change only explicitly requested fields, usually title or description. Preserve layout_type, reflow_type, widget order, and every recursive widget layout object (x, y, width, height, and is_column_break). Repacking or compacting coordinates creates a derived layout, not an exact clone.

Create or update from dashboard-payload.json, then fetch the destination into a new file.

bash

pup dashboards create --file dashboard-payload.json
pup dashboards get <destination-id> --read-only -o json > dashboard-destination.json

Normalize away the response-only fields and compare the complete definitions. The only differences should be the fields intentionally changed.

Also compare layout projections separately so a placement regression cannot hide in a large widget diff:

bash

jq '{layout_type, reflow_type, layouts: [.. | objects | .layout? // empty]}' dashboard-source.json
jq '{layout_type, reflow_type, layouts: [.. | objects | .layout? // empty]}' dashboard-destination.json

Pup 1.6.3 does not expose dashboard version history. If an exact historical version is required and no immutable snapshot exists, inspect version history in the Datadog UI before changing the dashboard.

SLOs

bash

pup slos list
pup slos get <slo-id>
pup slos status <slo-id> --from 30d --to now
pup slos create --file slo.json

Synthetics

bash

pup synthetics tests list
pup synthetics tests get <test-id>
pup synthetics tests search --text "login"
pup synthetics locations list

On-Call

bash

pup on-call teams list
# Pick a real team id from `pup on-call teams list` output.
pup on-call teams get <team-id>
pup on-call teams memberships list <team-id>

Hosts / Infrastructure

bash

pup infrastructure hosts list --count 50
pup infrastructure hosts list --filter "env:<env>"
pup infrastructure hosts get <host-name>

Events

bash

pup events list --from 24h
pup events list --tags "source:deploy"
pup events search --query "deploy" --from 24h --limit 50
pup events get <event-id>

Downtimes

bash

pup downtime list
pup downtime create --file downtime.json
pup downtime cancel <downtime-id>

Users / Teams

bash

pup users list
pup users get <user-id>

Security

bash

pup security signals list --query "*" --from 1h --limit 100
pup security signals list --query "status:open severity:critical" --from 1h --limit 100
# Broader lookback for historical triage
pup security signals list --query "severity:critical" --from 24h --limit 100

Audit Logs

bash

# List recent events
pup audit-logs list --from 1h --limit 100

# Search with query (Lucene syntax, same as Log Explorer)
pup audit-logs search --query "@action:deleted" --from 24h
pup audit-logs search --query "@usr.email:user@example.com" --from 7d
pup audit-logs search --query "@evt.name:Authentication @action:login" --from 7d
pup audit-logs search --query "@metadata.api_key.id:KEY_ID" --from 90d --limit 200

# JSON output for piping to jq
pup audit-logs search --query "@action:deleted" --from 24h -o json | jq '.data[].attributes'

# audit-logs is the long form (both work)
pup audit-logs search --query "@evt.name:Monitor @action:modified" --from 7d

Service Catalog

bash

pup service-catalog list
pup service-catalog get <service-name>

Notebooks

bash

pup notebooks list
pup notebooks get <notebook-id>

Workflows

bash

pup workflows get <workflow-id>
pup workflows run <workflow-id> --payload '{"key":"value"}'
pup workflows instances list <workflow-id>

Observability Pipelines

bash

pup obs-pipelines list --limit 50
pup obs-pipelines get <pipeline-id>
pup obs-pipelines create --file pipeline.json
pup obs-pipelines update <pipeline-id> --file pipeline.json
pup obs-pipelines delete <pipeline-id>
pup obs-pipelines validate --file pipeline.json

LLM Observability

bash

pup llm-obs projects list
pup llm-obs projects create --file project.json
pup llm-obs experiments list
pup llm-obs experiments list --filter-project-id <project-id>
pup llm-obs experiments list --filter-dataset-id <dataset-id>
pup llm-obs experiments create --file experiment.json
pup llm-obs experiments update <experiment-id> --file experiment.json
pup llm-obs experiments delete --file delete-request.json
pup llm-obs datasets list --project-id <project-id>
pup llm-obs datasets create --project-id <project-id> --file dataset.json
pup llm-obs spans search --ml-app <ml-app-name> --from 1h --limit 20

Reference Tables

bash

pup reference-tables list --limit 50
pup reference-tables get <table-id>
pup reference-tables create --file table.json
pup reference-tables batch-query --file query.json

Cost Cloud Configs

bash

# AWS CUR configs
pup cost aws-config list
pup cost aws-config get <account-id>
pup cost aws-config create --file config.json
pup cost aws-config delete <account-id>

# Azure UC configs
pup cost azure-config list
pup cost azure-config get <account-id>
pup cost azure-config create --file config.json
pup cost azure-config delete <account-id>

# GCP usage cost configs
pup cost gcp-config list
pup cost gcp-config get <account-id>
pup cost gcp-config create --file config.json
pup cost gcp-config delete <account-id>

Subcommand Discovery

bash

pup --version           # Confirm installed version before documenting workarounds
pup --help              # List all commands
pup <command> --help    # Command-specific help
pup dashboards get <dashboard-id> --jq '{title, layout_type}'  # Filter output before formatting

If local help differs from this skill, compare pup --version with the latest stable release before inventing a workaround.

Error Handling

Error	Cause	Fix
401 Unauthorized	Token expired	`pup auth refresh`
403 Forbidden	Missing scope	Check app key permissions
404 Not Found	Wrong ID/resource	Verify resource exists
Rate limited	Too many requests	Add delays between calls

Install

See Setup Pup for installation instructions.

Verify Installation

bash

which pup
pup --version

Sites

Site	`DD_SITE` value
US1 (default)	`datadoghq.com`
US3	`us3.datadoghq.com`
US5	`us5.datadoghq.com`
EU1	`datadoghq.eu`
AP1	`ap1.datadoghq.com`
AP2	`ap2.datadoghq.com`
US1-FED	`ddog-gov.com`

Files

Just SKILL.md in dd-pup of datadog-labs/agent-skills.

Open the folder on GitHubat commit 5b40c73

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in datadog-labs/agent-skills, which our catalogue first saw on October 7, 2026.

Kilo-Org/kilo-marketplaceskills/dd-pup

Compare with similar skills

Dd Pup 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.

Dd Pup compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Dd Pup this skilldatadog-labs/agent-skills	177	1 repos	~3.1k	Automated safety check: Pass	MIT	today
Observability Architecturemajiayu000/litellm-rs	117	—	~1.3k	Automated safety check: Pass	MIT	today
Dd PupDataDog/pup	1k	—	~2.2k	Automated safety check: Pass	Apache-2.0	yesterday
GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb	6.7k	—	~4k	Automated safety check: Notes	Apache-2.0	today
Rocketmq Rust Local Clustermxsm/rocketmq-rust	1.5k	—	~2k	Automated safety check: Pass	Apache-2.0	today
GitHub Actions CreatorFNOSP/FlyNarwhal	495	1 repos	~2.4k	Automated safety check: Pass	AGPL-3.0	yesterday

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Dd Account Setup
datadog-labs/agent-skills
Ensure the user has an authenticated Datadog account with a valid DDAPIKEY on the right region before any Datadog setup or instrumentation.
177 GitHub stars~4.4k tokensUpdated today
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Dd Orchestrator
datadog-labs/agent-skills
Entry point for Datadog onboarding. An agent skill from datadog-labs/agent-skills.
177 GitHub stars~6.7k tokensUpdated today
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Dd Apm
datadog-labs/agent-skills
APM - install, onboard, instrument, enable, set up, configure, traces, services, dependencies, performance analysis, Data Streams Monitoring (DSM), queue lag, pipeline latency.
177 GitHub stars~2k tokensUpdated today
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Agent Install
datadog-labs/agent-skills
Install the Datadog Agent on Kubernetes using the Datadog Operator — required before enabling Single Step Instrumentation (SSI), which automatically instruments applications for APM without code…
177 GitHub stars~2.1k tokensUpdated today
Auto-check: warnings
Dd AWS Integration
datadog-labs/agent-skills
Set up the Datadog AWS integration with Terraform - creates the cross-account IAM role Datadog assumes (external ID, no stored credentials), attaches the permission policies Datadog publishes, and…
177 GitHub stars~6.8k tokensUpdated today
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Works with

Questions about Dd Pup

What does Dd Pup do?

Datadog CLI (Rust). An agent skill from datadog-labs/agent-skills. Dd Pup is an agent skill from datadog-labs/agent-skills. Datadog CLI (Rust).

When should I use Dd Pup?

Dd Pup fits situations like: tasks that involve OAuth and OpenID Connect.

How do I install Dd Pup in Claude Code?

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

How do I install Dd Pup in Codex?

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

Can I use Dd Pup 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 datadog-labs/agent-skills --skill dd-pup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dd-pup, .gemini/skills/dd-pup, .github/skills/dd-pup and .opencode/skills/dd-pup in your project.

What does Dd Pup need to run?

Going by SKILL.md and its folder, Dd Pup needs the command-line tools its instructions call (jq) and credentials named DD_API_KEY and DD_APP_KEY. Our summary lists: A credential in DD_API_KEY; A credential in DD_APP_KEY.

Does Dd Pup access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dd Pup 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. Review the folder before installing.

What licence does Dd Pup use?

Dd Pup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dd Pup use?

About 3.1k tokens (SKILL.md is roughly 12k 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 Dd Pup?

Skills that share tags, products or a category with Dd Pup: Observability Architecture (majiayu000/litellm-rs, 117 stars), Dd Pup (DataDog/pup, 1k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars) and Rocketmq Rust Local Cluster (mxsm/rocketmq-rust, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dd Pup?

datadog-labs (a GitHub organization) maintains it in datadog-labs/agent-skills, which has 177 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on October 7, 2026.

Source: datadog-labs/agent-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 Dd Pup

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

pup (Datadog CLI)

Quick Reference

Prerequisites

Required Input Resolution

Auth

Headless/CI (no browser)

Command Reference

Monitors

Logs

Metrics

APM / Traces

Incidents

Dashboards

Safe dashboard create, clone, and update workflow

SLOs

Synthetics

On-Call

Hosts / Infrastructure

Events

Downtimes

Users / Teams

Security

Audit Logs

Service Catalog

Notebooks

Workflows

Observability Pipelines

LLM Observability

Reference Tables

Cost Cloud Configs

Subcommand Discovery

Error Handling

Install

Verify Installation

Sites

Files

Used in 1 other repository

Compare with similar skills

Similar skills

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Related

Questions about Dd Pup