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dd-monitors

Monitor management - list, search, file-based create, and alerting best practices.

DeepseekModel Curated skill Quality Excellent · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=datadog-labs-agent-skills-dd-monitors-skill-md&format=skill
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name dd-monitors description Monitor management - list, search, file-based create, and alerting best practices. metadata {"version":"1.0.1","author":"datadog-labs","repository":"https://github.com/datadog-labs/agent-skills","tags":"datadog,monitors,alerting,alerts,dd-monitors","globs":"**/datadog*.yaml,**/*monitor*","alwaysApply":"false"} Datadog Monitors Create, manage, and maintain monitors for alerting. Prerequisites This requires pup in your path. See Setup Pup . Command Execution Order (Token-Efficient) For scoped commands, use this order: Check context first (prior outputs, conversation, saved values). If a required value is missing, run a discovery command first. If still ambiguous, ask the user to confirm. Then run the target command. Avoid speculative commands likely to fail. Quick Start pup auth login Common Operations List Monitors pup monitors list pup monitors list --tags "team:platform" Get Monitor pup monitors get < id > Create Monitor pup monitors create --file monitor.json Silence Alerts (Downtime) # No pup monitors mute/unmute commands. # Use downtime payloads to silence monitor notifications. pup downtime create --file downtime.json pup downtime cancel <downtime_id> 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 """ NEVER Delete Monitors Directly Use safe deletion workflow (same as dashboards): def safe_mark_monitor_for_deletion ( monitor_id: str , client ) -> bool : """Mark monitor instead of deleting.""" monitor = client.get_monitor(monitor_id) name = monitor.get( "name" , "" ) if "[MARKED FOR DELETION]" in name: print ( f"Already marked: {name} " ) return False new_name = f"[MARKED FOR DELETION] {name} " client.update_monitor(monitor_id, { "name" : new_name}) print ( f"✓ Marked: {new_name} " ) return True Monitor Types Type Use Case metric alert CPU, memory, custom metrics query alert Complex metric queries service check Agent check status event alert Event stream patterns log alert Log pattern matching composite Combine multiple monitors apm APM metrics Audit Monitors # Find monitors without owners pup monitors list | jq '.[] | select(.tags | contains(["team:"]) | not) | {id, name}' # Find noisy monitors (high alert count) pup monitors list | jq 'sort_by(.overall_state_modified) | .[:10] | .[] | {id, name, status: .overall_state}' Downtime vs Muting Use When Downtime Any planned silence window Monitor edit Query/threshold behavior changes # Downtime (preferred) pup downtime create --file downtime.json Failure Handling Problem Fix Alert not firing Check query returns data, thresholds Too many alerts Increase window, add recovery threshold No data alerts Check agent connectivity, metric exists Auth error pup auth refresh References Monitor Types Alerting Best Practices SLO Monitors
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Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
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exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
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.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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