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.
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.
npx skills add DataDog/pup --skill dd-monitorsgit clone --depth 1 https://github.com/DataDog/pupWrote 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.
[](https://agentmods.dev/skills/datadog/pup/dd-monitors)<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>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.
| Model | Per session | Once 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 |
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.
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
"""
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.
- 3d ago First seen · 198 lines · 19 tokens per session scan A 05f2cbf8c636
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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