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dd-monitors

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

DeepseekModel 官方收录技能 质量 优秀 · 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
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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