dt-alerting

dt-alerting is a skill for Claude Code from Dynatrace/dynatrace-for-ai. It costs 95 tokens per session (2,918 once invoked), scanned A, original, Apache-2.0.

A guide to Dynatrace alerting, which detects unusual system behaviour and sends notifications. It covers how alerts are created, stored, grouped, and routed to people or services.

In plain words
What is it for?
Use it to configure alert detectors, choose detection methods, group events by likely cause, and send notifications through email, Slack, ServiceNow, or webhooks.
Why use it?
It helps reduce duplicate alerts and connect important problems to the right notification channel.

Skill for Claude Code

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

Part of the dynatrace plugin — 33 skills, 1 MCP server shipped together

Good fit Use it to configure alert detectors, choose detection methods, group events by likely cause, and send notifications through email, Slack, ServiceNow, or webhooks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dynatrace/dynatrace-for-ai/dt-alerting
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 Dynatrace/dynatrace-for-ai --skill dt-alerting
Clone the repo
git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai

Made for: Claude Code.

Or install dynatrace, the plugin that ships this one along with the rest of its 33 skills, 1 MCP server.

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 dt-alerting

README.md
[![agentmods](https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-alerting/github.svg)](https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-alerting)
Your own site
<a href="https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-alerting"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-alerting/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for dt-alerting

Your own site · 80×15
<a href="https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-alerting"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-alerting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,918 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. Third-party audits
  • Socket pass 15 Aug 2026
  • Snyk warn 15 Aug 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00095 $0.02918
Opus 5 $0.00048 $0.01459
Sonnet 5 $0.00019 $0.00584
Haiku 4.5 $0.00010 $0.00292

Measured 11d ago against content hash a128123013c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dt-alerting 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 11d 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/dt-alerting/SKILL.md · 238 lines

How it starts

The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.

dt-alerting

Configure and understand the full alerting lifecycle in Dynatrace — from anomaly detector setup through Grail event storage, problem grouping, and workflow notification delivery.

The Alerting Lifecycle

┌─────────────────────────────────────────────────────────────────────┐
│  Alert Sources — five categories, each fires a DAVIS_EVENT          │
│  ─────────────────────────────────────────────────────────────────  │
│  1. DQL-based  · Grail-scheduled server-side detector               │
│  2. Edge       · OneAgent on monitored host or process              │
│  3. Pipeline   · OpenPipeline ingest-stream filter matcher          │
│  4. Synthetic  · Worldwide synthetic checker node                   │
│  5. External   · Events API, Workflow, or OneAgent local ingest     │
└──────────────────────────────┬──────────────────────────────────────┘
                               │ DAVIS_EVENT created per trigger per entity
                               ▼
             ┌─────────────────────────────────────┐
             │  Event stored in Grail              │  Persisted and queryable via DQL.
             └──────────────────┬──────────────────┘  One event per trigger per entity.
                                │ correlated by root-cause and impact graph
                                ▼
             ┌─────────────────────────────────────┐
             │  Problem (Denoising)                │  Events sharing the same root-cause
             └──────────────────┬──────────────────┘  and impact graph → one Problem.
                                │ problem event triggers workflow
                                ▼
             ┌─────────────────────────────────────┐
             │  Workflow Notification              │  Filters problems and routes to
             └─────────────────────────────────────┘  email, Slack, ServiceNow, webhook.

When to Use This Skill

  • Detector setup — "How do I create an anomaly detector?", "What kind of detector should I use?", "What is the difference between adaptive and seasonal?"
  • Alert event history — "Query all alert events for this service", "Show me which metrics triggered alerts last week"
  • Problem denoising — "Why did these two alerts merge into one problem?", "How does Davis group alerts?"
  • Notification setup — "How do I send a Slack message when a problem opens?", "Set up a ServiceNow ticket on critical problems"
  • Best practices — "How do I avoid alert storms?", "Which sensitivity setting should I use?"
  • Over-alerting analysis — "Why am I getting too many alerts?", "How do I reduce alert fatigue?", "Which detector is firing the most?", "How do I tune sensitivity or thresholds to avoid noise?"
  • Notification routing — "How do I route alerts to the right team?", "Set up scalable problem filters in workflows", "Send Slack notifications only to the team responsible for the affected service"

Read the full file on GitHub · 238 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 238 lines · 95 tokens per session scan A a128123013c6

Subscribe to this mod's changes

dt-alerting is a skill published in the GitHub repository Dynatrace/dynatrace-for-ai (137 stars, last pushed yesterday), licensed Apache-2.0. It adds 95 tokens to every session and 2,918 once invoked, about $0.0005 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 2026-08-30.

Related

Other skills, from other repositories

dtctl

Investigate incidents, debug performance issues, analyze logs, and manage observability resources in Dynatrace using the dtctl CLI. Use this skill whenever the user asks about error rates, latency spikes, service health, crash-looping pods, web vitals, SLO status, open problems, root cause analysis, log patterns…

dynatrace-oss/dtctl · 114 tokens

prompt-library

Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or creative tasks.

davila7/claude-code-templates · 57 tokens

debug-inference

Debug inference clients that use an attached provider and its native endpoint, including hosted APIs and host-local Ollama, vLLM, SGLang, TRT-LLM, LM Studio, or NIM. Use for provider attachment, endpoint policy, credential substitution, topology, and migration from the removed inference.local endpoint. Trigger…

NVIDIA/OpenShell · 119 tokens

oh-my-posh

Install, configure, or troubleshoot Oh My Posh/ohmyposh: shell init, themes, segments, Nerd Font icons, and prompt setup on PowerShell, zsh, bash, or fish.

JanDeDobbeleer/oh-my-posh · 47 tokens

Prompting

Meta-prompting standard library for generating, optimizing, and composing prompts programmatically via Standards, Handlebars Templates, and Tools; output is always a prompt to use elsewhere, not final content. USE WHEN meta-prompting, template generation, prompt optimization, prompt engineering, write a prompt, create…

danielmiessler/LifeOS · 90 tokens

RootCauseAnalysis

Structured incident investigation using Five Whys, Fishbone, blameless Postmortem, Fault Tree, Kepner-Tregoe, and FMEA — traces failures to systemic root causes rather than blaming humans. USE WHEN root cause, RCA, 5 whys, fishbone, postmortem, incident analysis, fault tree, why does this keep failing, blameless…

danielmiessler/LifeOS · 93 tokens