Dt Obs Network Devices logo

Dt Obs Network Devices

Organization
Dynatrace
dt-obs-network-devices

Analyze SNMP-monitored network devices (switches, routers, firewalls, load balancers) in Dynatrace. Three data layers: Smartscape topology (`EXT_NETWORK_DEVICE` / `EXT_NETWORK_INTERFACE` nodes, `belongs_to` and `calls` edges); `com.dynatrace.extension.network_device.*` metrics (CPU, memory, uptime, throughput, saturation, errors); and logs (SNMP traps, syslog, auto-discovery). Use to inventory devices, find down or saturated interfaces, check device CPU/memory/uptime, map topology and neighbors, detect interface errors, and investigate traps and syslog events. Trigger: "network device", "switch", "router", "firewall", "SNMP", "interface status", "interface down", "interface utilization", "link saturation", "device CPU", "device memory", "device uptime", "device neighbors", "LLDP", "CDP", "SNMP trap", "syslog". Do NOT use for network flow/traffic or top talkers (use dt-obs-network-flows), host NIC throughput (use dt-obs-hosts), or service request/latency (use dt-obs-services).

Overview

PublisherDynatrace
Repositorydynatrace-for-ai
Skill namedt-obs-network-devices
Stars
156
Forks
30
Bundled files
3
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Dynatrace on GitHub. Read the source before you install it.

Installation

Install the Dt Obs Network Devices AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git /tmp/dynatrace-for-ai
mkdir -p .claude/skills
cp -r /tmp/dynatrace-for-ai/skills/dt-obs-network-devices .claude/skills/dt-obs-network-devices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dt Obs Network Devices in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dt Obs Network Devices on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dt Obs Network Devices is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Network Devices Skill

Analyze SNMP-monitored network infrastructure in Dynatrace — switches, routers, firewalls, load balancers, access points, and any other device polled by a network device extension (the SNMP-generic and vendor SNMP extensions). This skill covers the device and interface data model and routes each question to the right reference file. All DQL lives in the reference files and was validated against a live tenant with dtctl query.

What Network Device Monitoring Tells You

SNMP extensions poll network hardware and expose it in Dynatrace as three layers:

  • Topology — an inventory of devices and their interfaces as Smartscape nodes (EXT_NETWORK_DEVICE, EXT_NETWORK_INTERFACE), with attributes (vendor, model, OS/firmware, location, contact, IPs, MACs, link speed) and relationships (which interface belongs to which device; which devices are neighbors via LLDP/CDP).
  • Metrics — time series for device health (CPU, memory, uptime) and per-interface health (operational/admin status, in/out throughput, errors, discards, packet mix), under the com.dynatrace.extension.network_device.* namespace.
  • Logs — event-driven records: SNMP traps (link-up/down, hardware faults), syslog messages (config changes, authentication, interface events), and auto-discovery activity (devices and neighbors found per poll cycle).

This answers questions such as: Which interfaces are down? Which links are saturated? Is this router's CPU pegged? Which devices rebooted? What is connected to this switch? What traps has this device sent? What syslog errors are recurring?

The Three Layers (and how they join)

LayerQuery withGrainKey fields
TopologysmartscapeNodes "EXT_NETWORK_DEVICE" / smartscapeNodes "EXT_NETWORK_INTERFACE"One row per device / interface (current inventory)id, name, monitoring_mode, device_type, location, ip, speed, edges via belongs_to / calls
Metricstimeseries … com.dynatrace.extension.network_device.*Time series per device / interfacegrouped by dt.smartscape.ext_network_device and (interface metrics) dt.smartscape.ext_network_interface
Logsfetch logs | filter dt.openpipeline.source == "…"Individual log records (traps, syslog, discovery)joined to topology by expanding the device ip[] array and matching device.address / dt.ingest.source.ip — see references/logs.md

The join key is the Smartscape ID. Every metric carries a dt.smartscape.ext_network_device dimension (and interface metrics also carry dt.smartscape.ext_network_interface). Use lookup [smartscapeNodes …] to attach human-readable device/interface names to metric results, and to attach live metrics to an inventory listing. Both reference files show this pattern.

Monitoring Mode Determines What Data Exists

Every device has a monitoring_mode. This is the first thing to check — it decides whether metrics exist at all:

monitoring_modeMeaningHas metrics?Has full attributes?
ExtensionDirectly polled by an SNMP extensionYes — full com.dynatrace.extension.network_device.* setYes
DiscoveryDiscovered on the network but not directly polledNoPartial
NeighborKnown only because a polled device names it as an LLDP/CDP neighborNoMinimal (name, chassis MAC)

If a device has no metrics, check its monitoring_mode before assuming a data gap — only Extension-mode devices are polled. When listing "monitored devices," exclude Neighbor (and usually Discovery).

Routing

  1. Inventory, attributes, or topology (list devices, find a device's interfaces, map neighbors, read model/firmware/location) → references/topology-model.md.
  2. Health or performance (CPU, memory, uptime, interface up/down, throughput, saturation, errors) → references/metrics.md.
  3. Event-driven signals (SNMP traps, syslog messages, discovery activity) → references/logs.md.
  4. Most real questions combine layers (e.g. "which interfaces on the core router are down" = metric status filtered to one device, joined to interface names). The metrics and logs references show these joined queries.

Related Skills

Network device monitoring is one part of Dynatrace network observability. Route elsewhere when the question is not about device/interface health or topology:

The user wants…Use
Traffic between entities, top talkers, conversations, connection health (the flows through the network)dt-obs-network-flows — including NetFlow/IPFIX/sFlow that these same devices export
Host NIC throughput / packet drops on OneAgent-monitored hosts (not SNMP devices)dt-obs-hostsreferences/host-metrics.md
Service request rate, latency, error ratedt-obs-services
Setting up or configuring an extension (this skill covers the resulting data model, not extension authoring)dt-obs-extensions
General Smartscape traversal syntax (traverse, smartscapeEdges, references[…])dt-dql-essentials

Network devices vs. network flows. This skill answers "what is the state of the box and its ports" (SNMP device/interface health and topology). dt-obs-network-flows answers "what traffic is crossing the network" (conversations, bytes, talkers). The same router appears in both: here as an EXT_NETWORK_DEVICE with interface counters, there as a NetFlow exporter. A future macro dt-obs-network skill may unify them; until then, cross-link.

Reference Files

  • references/topology-model.mdValidated. The Smartscape model: EXT_NETWORK_DEVICE and EXT_NETWORK_INTERFACE node types with full field reference, monitoring modes, and the belongs_to / calls edges. DQL for device inventory (with filtering by mode/type/location/vendor), listing a device's interfaces, resolving an interface to its device, and mapping device/interface neighbor topology.
  • references/metrics.mdValidated. The com.dynatrace.extension.network_device.* metric catalog with units, dimensions, and field-typing rules. DQL for device health (top CPU, memory % with fallback, uptime and reboot detection) and interface health (down interfaces, throughput and saturation vs. link speed, error/discard counts, per-device interface detail), each joined to device/interface names.
  • references/logs.mdValidated. The three log sources: SNMP traps (extension:com.dynatrace.extension.snmp-traps-generic), syslog (extension:syslog), and auto-discovery activity (extension:com.dynatrace.extension.snmp-auto-discovery). Covers the IP-to-Smartscape join pattern (device.address / dt.ingest.source.ipsnmp.ip), field references for all three sources, and DQL for recent traps with device names, trap frequency by OID, error syslog, top event patterns, combined per-device view, and LLDP/CDP neighbor discovery logs.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dt Obs Network Devices AI skill do?

Analyze SNMP-monitored network devices (switches, routers, firewalls, load balancers) in Dynatrace. Three data layers: Smartscape topology (`EXT_NETWORK_DEVICE` / `EXT_NETWORK_INTERFACE` nodes, `belongs_to` and `calls` edges); `com.dynatrace.extension.network_device.*` metrics (CPU, memory, uptime, throughput, saturation, errors); and logs (SNMP traps, syslog, auto-discovery). Use to inventory devices, find down or saturated interfaces, check device CPU/memory/uptime, map topology and neighbors, detect interface errors, and investigate traps and syslog events. Trigger: "network device", "sw...

Why use Dt Obs Network Devices on TypingMind?

Because you install it once and use it with any model. Dt Obs Network Devices is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dt Obs Network Devices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-obs-network-devices. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dt Obs Network Devices?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dt Obs Network Devices?

As many as you like. As long as a model supports skills, you can use Dt Obs Network Devices with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dt Obs Network Devices AI skill free?

Yes. It is published on GitHub by Dynatrace under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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