dd-monitors

dd-monitors is a skill for Claude Code from DataDog/pup. It costs 19 tokens per session (1,290 once invoked), scanned A, original, Apache-2.0.

A Datadog monitor-management skill for listing, viewing, creating, updating, muting, and unmuting alert monitors.

In plain words
What is it for?
Use it to manage monitors, filter them by tags or status, set mute periods, and apply guidance about thresholds, alert flapping, and runbooks.
Why use it?
It helps maintain alerts that are stable and actionable instead of noisy or difficult to operate.

Skill for Claude Code ✓ vendor

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pup plugin — 12 skills, 2 agents shipped together

Good fit Use it to manage monitors, filter them by tags or status, set…

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Install with agentmods
npx agentmods add skills/datadog/pup/dd-monitors
About the project

DataDog/pup is a command-line client that gives AI agents access to Datadog's observability platform. It lets agents retrieve and manage information across Datadog products such as metrics, logs, monitors, RUM, and security data, with structured output for automation.

DataDog/pup · 1,001 stars · on GitHub · datadoghq.com

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.

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

Made for: Claude Code.

Or install pup, the plugin that ships this one along with the rest of its 12 skills, 2 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for dd-monitors

README.md
[![agentmods](https://agentmods.dev/badge/skills/datadog/pup/dd-monitors.svg)](https://agentmods.dev/skills/datadog/pup/dd-monitors)
Your own site
<a href="https://agentmods.dev/skills/datadog/pup/dd-monitors"><img src="https://agentmods.dev/badge/skills/datadog/pup/dd-monitors.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,290 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00019 $0.01290
Opus 5 $0.00010 $0.00645
Sonnet 5 $0.00004 $0.00258
Haiku 4.5 $0.00002 $0.00129

Measured 3d ago against content hash 05f2cbf8c636, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

dd-monitors scanned grade A with 0 findings 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 3d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/dd-monitors/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Datadog Monitors

Create, manage, and maintain monitors for alerting.

Prerequisites

This requires the pup binary in your path.

pup - cargo install --git https://github.com/DataDog/pup

Quick Start

pup auth login

Common Operations

List Monitors

pup monitors list
pup monitors list --tags "team:platform"
pup monitors search --query "status:Alert"

Get Monitor

pup monitors get <id>

Create Monitor

pup monitors create --file monitor.json

Mute/Unmute

# Mute with duration
pup monitors update 12345 --file monitor-muted.json

# Or mute with specific end time
pup monitors update 12345 --file monitor-muted-until.json

# Unmute
pup monitors update 12345 --file monitor-unmuted.json

⚠️ Monitor Creation Best Practices

1. Avoid Alert Fatigue

Rule Why
No flapping alerts Use last_Xm not last_1m
Meaningful thresholds Based on SLOs, not guesses
Actionable alerts If no action needed, don't alert
Include runbook @runbook-url in message
# WRONG - will flap constantly
query = "avg(last_1m):avg:system.cpu.user{*} > 50"  # ❌ Too sensitive

# CORRECT - stable alerting
query = "avg(last_5m):avg:system.cpu.user{env:prod} by {host} > 80"  # ✅ Reasonable window

2. Use Proper Scoping

# WRONG - alerts on everything
query = "avg(last_5m):avg:system.cpu.user{*} > 80"  # ❌ No scope

# CORRECT - scoped to what matters
query = "avg(last_5m):avg:system.cpu.user{env:prod,service:api} by {host} > 80"  # ✅

3. Set Recovery Thresholds

monitor = {
    "query": "avg(last_5m):avg:system.cpu.user{env:prod} > 80",
    "options": {
        "thresholds": {
            "critical": 80,
            "critical_recovery": 70,  # ✅ Prevents flapping
            "warning": 60,
            "warning_recovery": 50
        }
    }
}

4. Include Context in Messages

message = """
## High CPU Alert

Host: {{host.name}}
Current Value: {{value}}
Threshold: {{threshold}}

### Runbook
1. Check top processes: `ssh {{host.name}} 'top -bn1 | head -20'`
2. Check recent deploys
3. Scale if needed

@slack-ops @pagerduty-oncall
"""

Read the full file on GitHub · 198 lines

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. 3d ago First seen · 198 lines · 19 tokens per session scan A 05f2cbf8c636

Subscribe to this mod's changes

dd-monitors is a skill published in the GitHub repository DataDog/pup (1,001 stars, last pushed 3d ago), licensed Apache-2.0. It adds 19 tokens to every session and 1,290 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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