dt-app-notebooks

dt-app-notebooks is a skill for Claude Code from Dynatrace/dynatrace-for-ai. It costs 33 tokens per session (953 once invoked), scanned A, original, Apache-2.0.

A guide for creating, editing, querying, and analyzing Dynatrace notebooks. These notebooks are documents made of ordered text sections and query sections that can display results as charts or tables.

In plain words
What is it for?
Use it to build or update notebook JSON, add DQL queries, set time ranges, configure visualizations, and inspect existing notebook sections.
Why use it?
It explains the notebook structure and query settings, reducing mistakes when changing notebook content or visualizations.

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 build or update notebook JSON, add DQL queries, set time ranges, configure visualizations, and inspect existing notebook sections.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dynatrace/dynatrace-for-ai/dt-app-notebooks
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-app-notebooks
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-app-notebooks

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/dynatrace/dynatrace-for-ai/dt-app-notebooks"><img src="https://agentmods.dev/badge/skills/dynatrace/dynatrace-for-ai/dt-app-notebooks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 953 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 13 May 2026
  • Snyk pass 13 May 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 $0.00033 $0.00953
Opus 5 $0.00016 $0.00477
Sonnet 5 $0.00007 $0.00191
Haiku 4.5 $0.00003 $0.00095

Measured 12d ago against content hash b94b8aeac36d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

dt-app-notebooks 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 12d 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-app-notebooks/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dynatrace Notebook Skill

Overview

Dynatrace notebooks are JSON documents stored in the Document Store containing an ordered array of sections — markdown blocks for narrative and dql blocks for DQL queries with visualizations. Sections render top-to-bottom in array order.

When to use: Creating, modifying, querying, or analyzing notebooks.

Notebook JSON Structure

{
  "name": "My Notebook",
  "type": "notebook",
  "content": {
    "version": "7",
    "defaultTimeframe": { "from": "now()-2h", "to": "now()" },
    "sections": [
      { "id": "1", "type": "markdown", "markdown": "# Title" },
      {
        "id": "2", "type": "dql", "title": "Query Section", "showInput": true,
        "state": {
          "input": { "value": "fetch logs | summarize count()" },
          "visualization": "table",
          "visualizationSettings": { "autoSelectVisualization": true, "chartSettings": {} },
          "querySettings": {
            "maxResultRecords": 1000, "defaultScanLimitGbytes": 500,
            "maxResultMegaBytes": 1, "defaultSamplingRatio": 10, "enableSampling": false
          }
        }
      }
    ]
  }
}
  • Sections render in array order.
  • Section types: markdown, dql. (function exists but is rare.)
  • Use string-int IDs ("1", "2", …); UUIDs are also accepted.
  • content.defaultTimeframe sets the default timeframe; each section can override via section.state.input.timeframe. Hardcoded time filters in DQL are allowed.

Optional content properties: defaultSegments.

Reading & Analyzing

Fetch full content with dtctl get notebook <id> -o json --plain (describe returns metadata only), then inspect the JSON to discover its available properties. Carefully read references/analyzing.md before analyzing.

Create/Update Workflow (Mandatory Order)

Carefully follow the workflow described in references/create-update.md.

Key rules:

  • Load domain skills BEFORE generating queries — do not invent DQL.
  • Validate ALL section queries before adding to the notebook.
  • Set name before deploying.
  • Prefer autoSelectVisualization: true in visualizationSettings unless the user requested a specific visualization type — when false, state.visualization must be set explicitly.
  • Updating — ALWAYS download first: dtctl get notebook <id> -o json --plain > notebook.json, modify, then deploy the downloaded file. Never reconstruct JSON from scratch or inject an id manually — both silently overwrite UI edits the user made since last deployment.
  • Deploy with dtctl apply — validation runs automatically, and the local file is deleted on success.

Read the full file on GitHub · 87 lines

Files

What ships with it

5 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. 12d ago First seen · 87 lines · 33 tokens per session scan A b94b8aeac36d

Subscribe to this mod's changes

dt-app-notebooks is a skill published in the GitHub repository Dynatrace/dynatrace-for-ai (137 stars, last pushed 2d ago), licensed Apache-2.0. It adds 33 tokens to every session and 953 once invoked, about $0.0002 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.

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