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Dd Pup

OrganizationPopular
DataDog
dd-pup

Datadog CLI (pup). OAuth2 auth with token refresh.

Overview

PublisherDataDog
Repositorypup
Skill namedd-pup
Stars
1K
Forks
127
Bundled files
Instructions only
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by DataDog on GitHub. Read the source before you install it.

Installation

Install the Dd Pup AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/DataDog/pup/tree/main/skills/dd-pup
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/DataDog/pup.git /tmp/pup
mkdir -p .claude/skills
cp -r /tmp/pup/skills/dd-pup .claude/skills/dd-pup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dd Pup in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dd Pup on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dd Pup is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

pup (Datadog CLI)

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

Quick Reference

TaskCommand
Search error logspup logs search --query "status:error" --from 1h
List monitorspup monitors list
Create downtimepup downtime create --file downtime.json
Find slow tracespup traces search --query="@duration:>500000000" --from="1h"
List incidentspup incidents list
Query metricspup metrics query --query "avg:system.cpu.user{*}"
List hostspup infrastructure hosts list
Check SLOspup slos list
On-call teamspup on-call teams list
Security signalspup security signals list --query "*" --from 24h
Inspect runtime valuespup debugger probes create --service my-svc --env prod --probe-location "com.example.MyClass:myMethod" or "com.example.MyClass:myMethod(String, int)"
Find probe-able methodspup symdb search --service my-svc --query MyController --view probe-locations
Check authpup auth status
Refresh tokenpup auth refresh

Prerequisites

bash
# Install pup via Homebrew (recommended)
brew tap datadog-labs/pack
brew install pup

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

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:prod"
pup monitors get 12345
pup monitors search --query "High CPU"
pup monitors create --file monitor.json
pup monitors update 12345 --file monitor.json
pup monitors delete 12345

Logs

bash
pup logs search --query "status:error" --from 1h
pup logs search --query "service:payment-api" --from 1h --limit 100
pup logs search --query "@http.status_code:5*" --from 24h
pup logs aggregate --query "service:api" --compute count --from 1h

Metrics

bash
pup metrics query --query "avg:system.cpu.user{*}" --from 1h
pup metrics query --query "sum:trace.express.request.hits{service:api}" --from 1h
pup metrics list --filter "system.*"

APM / Services

bash
pup apm services list --env production
pup apm services stats --env production
pup apm services operations --env production --service my-service
pup apm services resources --env production --service my-service --name http.request
pup apm dependencies list --env production

Traces

bash
# Search traces (duration in nanoseconds: 1s = 1000000000)
pup traces search --query="service:api-gateway" --from="1h"
pup traces search --query="service:api @duration:>1000000000" --from="1h"
pup traces search --query="service:api status:error" --from="1h"
pup traces aggregate --query="service:api" --compute="avg(@duration)" --group-by="resource_name" --from="1h"

Incidents

bash
pup incidents list
pup incidents list --limit 20
pup incidents get <incident-id>

Dashboards

bash
pup dashboards list
pup dashboards get abc-123
pup dashboards create --file dashboard.json
pup dashboards update abc-123 --file dashboard.json
pup dashboards delete abc-123

SLOs

bash
pup slos list
pup slos get slo-123
pup slos status slo-123 --from 30d --to now
pup slos create --file slo.json

Synthetics

bash
pup synthetics tests list
pup synthetics tests get abc-123
pup synthetics tests search --text "login"
pup synthetics locations list

Downtimes

bash
pup downtime list
pup downtime get abc-123-def
pup downtime create --file downtime.json
pup downtime cancel abc-123-def

Infrastructure / Hosts

bash
pup infrastructure hosts list
pup infrastructure hosts list --filter "env:prod"
pup infrastructure hosts list --count 100
pup infrastructure hosts get <host-id>

Events

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

Users / Teams

bash
pup users list
pup users get <user-id>
pup on-call teams list
pup on-call teams get <team-id>

Security

bash
pup security signals list --query "*" --from 24h
pup security signals list --query "severity:critical" --from 24h
pup security rules list

Live Debugger

bash
# Check service context (verify env has active instances)
pup debugger context my-svc
pup debugger context my-svc --env prod

# Find probe-able methods in a service
pup symdb search --service my-svc --query MyController --view probe-locations

# Place a log probe with capture expressions
# --probe-location accepts TYPE:METHOD or TYPE:METHOD(arg1, arg2, ...) with optional signature
pup debugger probes create --service my-svc --env prod \
  --probe-location "com.example.MyController:handleRequest" \
  --capture "request.id" --capture "request.headers" \
  --ttl 1h

# With method signature (useful when the method is overloaded)
pup debugger probes create --service my-svc --env prod \
  --probe-location "com.example.MyController:handleRequest(String, HttpHeaders)" \
  --capture "request.id" --ttl 1h

# Watch probe events — compact output
pup debugger probes watch <PROBE_ID> --fields "message,captures,timestamp" --timeout 60 --limit 10 --wait 5

# Watch — template message only
pup debugger probes watch <PROBE_ID> --fields "message" --limit 10

# List and delete probes
pup debugger probes list --service my-svc
pup debugger probes delete <PROBE_ID>

Service Catalog

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

Notebooks

bash
pup notebooks list
pup notebooks get 12345
pup notebooks create --file notebook.json

Observability Pipelines

bash
pup obs-pipelines list
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

Reference Tables

bash
pup reference-tables list
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 costs datadog aws-config list
pup costs datadog aws-config get <account-id>
pup costs datadog aws-config create --file config.json
pup costs datadog aws-config delete <account-id>

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

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

Subcommand Discovery

bash
pup --help              # List all commands
pup <command> --help    # Command-specific help

Error Handling

ErrorCauseFix
401 UnauthorizedToken expiredpup auth refresh
403 ForbiddenMissing scopeCheck app key permissions
404 Not FoundWrong ID/resourceVerify resource exists
Rate limitedToo many requestsAdd delays between calls

Install

bash
# Homebrew (recommended)
brew tap datadog-labs/pack
brew install pup

# Or build from source
cargo install --git https://github.com/DataDog/pup

Verify Installation

bash
pup --version
pup auth status

Sites

SiteDD_SITE value
US1 (default)datadoghq.com
US3us3.datadoghq.com
US5us5.datadoghq.com
EU1datadoghq.eu
AP1ap1.datadoghq.com
US1-FEDddog-gov.com

Frequently asked questions

What does the Dd Pup AI skill do?

Datadog CLI (pup). OAuth2 auth with token refresh.

Why use Dd Pup on TypingMind?

Because you install it once and use it with any model. Dd Pup is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dd Pup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DataDog/pup/tree/main/skills/dd-pup. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dd Pup?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dd Pup?

As many as you like. As long as a model supports skills, you can use Dd Pup with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dd Pup AI skill free?

Yes. It is published on GitHub by DataDog under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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