dd-docs

A lookup guide for Datadog, a service for monitoring applications, logs, metrics, and traces. It points the agent to Datadog's machine-readable documentation and linked pages.

In plain words
What is it for?
Use it when you need official information about Datadog products, monitoring features, or usage limits.
Why use it?
It provides a consistent way to find current Datadog documentation and limits instead of guessing how the service works.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/datadog/pup/dd-docs
Any agent
npx skills add DataDog/pup --skill dd-docs
Clone the repo
git clone --depth 1 https://github.com/DataDog/pup

Made for: Claude Code, Codex.

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 634 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00025 $0.00634
Opus 5 $0.00013 $0.00317
Sonnet 5 $0.00005 $0.00127
Haiku 4.5 $0.00003 $0.00063

Measured 2d ago against content hash 7186e4e71c4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dd-docs scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s https://docs.datadoghq.com/llms.txt | head -100
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

  • dd-docs — 100% identical, 0 lines differ
  • dd-docs — 100% identical, 0 lines differ
skills/dd-docs/SKILL.md · 76 lines

What it actually says

Datadog Docs

Use this skill to locate Datadog documentation and limits.

LLM-Friendly Documentation

Datadog provides an LLM-optimized documentation index at:

https://docs.datadoghq.com/llms.txt

This file contains:

  • Overview of all Datadog products organized by use case
  • Full list of documentation pages with URLs and descriptions
  • Direct links to Markdown sources (append .md to URLs)

How to Use llms.txt

  1. Fetch the index to understand available documentation:

    curl -s https://docs.datadoghq.com/llms.txt | head -100
    
  2. Search for specific topics:

Examples:

curl -s https://docs.datadoghq.com/llms.txt | grep -i "monitors"
curl -s https://docs.datadoghq.com/llms.txt | grep -i "apm"
curl -s https://docs.datadoghq.com/llms.txt | grep -i "logs"
  1. Fetch specific doc pages (add .md to most Datadog Docs URLs for raw content):
    curl -s https://docs.datadoghq.com/monitors.md
    curl -s https://docs.datadoghq.com/tracing.md
    

Key Documentation Sections

Topic URL
APM/Tracing https://docs.datadoghq.com/tracing/
Logs https://docs.datadoghq.com/logs/
Metrics https://docs.datadoghq.com/metrics/
Monitors https://docs.datadoghq.com/monitors/
Dashboards https://docs.datadoghq.com/dashboards/
Security https://docs.datadoghq.com/security/
Synthetics https://docs.datadoghq.com/synthetics/
RUM https://docs.datadoghq.com/real_user_monitoring/
Incidents https://docs.datadoghq.com/service_management/incident_management/
API Reference https://docs.datadoghq.com/api/

Scope Guardrails

  • Use llms.txt for documentation lookups
  • Defer to official docs for feature availability and limits

Failure Handling

  • If docs.datadoghq.com is unreachable, check network connectivity
  • For region-specific docs, use appropriate site (datadoghq.eu, etc.)
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 76 lines · 25 tokens per session scan A 7186e4e71c4d

Subscribe to this mod's changes

dd-docs is a skill published in the GitHub repository DataDog/pup (999 stars, last pushed 4d ago), licensed Apache-2.0. It adds 25 tokens to every session and 634 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories