Doca Telemetry Utils
NVIDIAOfficialCreated by NVIDIA
- Skill
- Tool integration
- Cloud and DevOps
- Apache-2.0
- Medium risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The doca-telemetry-utils skill provides guidance for using the host-side command line tool of the same name. It is designed to assist operators in managing DOCA Telemetry pipelines by bridging the gap between exporter configurations and collector visibility. The tool enables users to enumerate diagnostic counters, translate between human-readable counter names and binary Data IDs, and verify whether specific hardware devices support particular counters. This skill serves as a diagnostic aid to resolve issues where telemetry data is missing or silently dropped, ensuring that exporter configurations are valid for the target BlueField DPU environment.
What it does
- Enumerates the diagnostic-counter schema available on a DOCA-enabled host.
- Translates between human-readable counter names and binary Data IDs.
- Probes per-device counter support to validate exporter configurations.
- Reverse-resolves captured Data IDs to identify specific counters and properties.
- Provides diagnostic information to troubleshoot silent metric drops in telemetry pipelines.
When to use it
- When telemetry counters are missing or not appearing in the collector.
- Before committing a new DOCA Telemetry exporter configuration to ensure device support.
- When needing to correlate captured binary Data IDs with public documentation.
- During migration of telemetry pipelines across different DOCA versions.
- When debugging why specific metrics are being silently dropped downstream.
Advantages
- Enables proactive validation of telemetry configurations before deployment.
- Reduces troubleshooting time for silent data loss in telemetry pipelines.
- Provides an authoritative, version-specific source of truth for counter schemas.
- Facilitates accurate correlation between captured logs and counter definitions.
Usage examples
- “Which diagnostic counters does this BlueField actually expose?”
- The agent will guide the user to run the enumeration command to list all available counter names for the specific BlueField device.
- “My exporter is configured for port_rx_bytes but the collector sees nothing. How do I check this?”
- The agent will assist in translating the counter name to a Data ID and running a per-device probe to confirm if the hardware supports that counter.
- “I have a captured Data ID 0x1160000600030201. What counter is this?”
- The agent will instruct the user to use the reverse-resolve invocation to map the binary ID back to its corresponding counter name and property dimensions.
- “Is port_rx_bytes with node=1 supported on my device?”
- The agent will help the user execute a per-device capability probe to validate the specific counter and property combination against the target PCIe address.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/nvidia/doca-telemetry-utils/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip doca-telemetry-utils.zip -d .agents/skills
Documentation by NVIDIA
DOCA Telemetry Utils
Examples
"Which diagnostic counters does this BlueField actually expose?" — this is in scope. Enumerate then probe; do not start a collector app here.
"My exporter names
port_rx_bytesbut nothing shows up downstream." — translate name to Data ID and probe per-device support before changing the exporter.
Quick triage: the exporter ships, the collector sees nothing
doca_telemetry_utils get-counters: is the counter known to this release?doca_telemetry_utils <counter>: print its property options.doca_telemetry_utils <counter> <properties>: resolve the Data ID.doca_telemetry_utils <device PCI> <counter> <properties>: "not supported" on this device means the exporter drops it silently; do not commit that counter.doca_telemetry_utils <0x... Data ID>: reverse-resolve an ID captured on the wire.Check host and BlueField release pairing with
doca-version.If every step resolves cleanly, hand off to
doca-telemetry## debug.
Quote the tool's output verbatim; never construct Data IDs by hand.
Instructions
Follow Loading order below. Open the tasks companion for install / run / test. Open the capabilities companion for schema discovery and pairing with the telemetry libraries. Do not open every companion file.
Where to start: This is a tool skill for invoking
doca_telemetry_utils — the documented host-side CLI that
supports a DOCA Telemetry exporter / collector pipeline by
discovering the counter schema, translating counter names ↔
Data IDs, and probing per-device counter support. Open
the tasks companion and start at
## install for the host-side
prerequisites and ## run for the
three documented invocation classes
(enumerate / name→ID / ID→name). Open
the capabilities companion when the question is
what does this tool actually discover about the telemetry
schema, how does it pair with the developer-side
doca-telemetry/SKILL.md and
exporter libraries, how do I confirm a device supports a
counter before committing an exporter config to it, or
why does my exporter pipeline silently drop a metric.
How to use this skill. Read this file, then search the companion file
for the ## <name> heading the question needs and read that whole section.
Answer completely from it, quoting only its symbols and commands. Do not
browse docs; use the entry points in doca-public-knowledge-map. Give
environment checks as commands for the user's DOCA host. For out-of-scope
requests, name the skill that owns them and stop.
This skill is the operator-side support tool for a
DOCA Telemetry deployment. It is NOT the developer-side
collector library (that is
doca-telemetry/SKILL.md),
NOT the developer-side publisher library (that is
doca-telemetry-exporter — see
doca-telemetry ## Related skills (doca-telemetry/SKILL.md#related-skills)),
and NOT a DOCA Telemetry Service (DTS) deployment guide
(route to doca-dts).
Three separate surfaces; conflating them is the most
common telemetry first-touch error.
Example questions this skill answers well
The CLASSES of doca_telemetry_utils questions this skill
is built to answer, each with one worked example. The
class is the load-bearing piece; the worked example is one
instance.
"My exporter says it's emitting
port_rx_bytesbut nothing shows up downstream — what did I get wrong?" — worked example: "my exporter config has a counter name string and my collector sees no events with that name". Answered by the name ↔ Data ID translation step in the capabilities companionthe per-device-support probe in the tasks companion: the exporter ships a Data ID, not a name; a name in the config that resolves to a Data ID the device does not support is silently dropped.
"Which DOCA diagnostic counters does this BlueField actually expose?" — worked example: "enumerate the full counter schema for my BlueField-3 before I write the exporter config". Answered by the schema-discovery invocation class in the capabilities companion (
doca_telemetry_utils get-counterslists every counter name the diagnostic-data surface knows about; pair with a per-device probe to confirm support)."I have a Data ID in a captured log — what counter was that?" — worked example: "a downstream consumer emitted
Data ID: 0x1160000600030201— translate it back so I can correlate against the public guide". Answered by the reverse-resolve invocation class in the capabilities companionthe ID-encodes-properties rule in the tasks companion (a Data ID carries the counter's property dimensions; the reverse-resolve reports them).
"What property dimensions does this counter take and what values are valid?" — worked example: "I know the counter is
pcie_link_write_stalled_time_*— what donode/pcie_index/depthmean and what values does the device accept?". Answered by the property-dimension table in the capabilities companionthe
<name>invocation without arguments which prints the documented property options + units + unit-specific axes.
"Is this counter supported on this device before I commit it to the exporter config?" — worked example: "validate that
port_rx_byteswithnode=1is exposed on the BlueField at PCIe address X before I write the exporter config". Answered by the per-device-support probe (<device PCI> <name> [properties]) in the capabilities companionthe gate-before-commit rule in the tasks companion.
"Is
doca_telemetry_utilson my install, and is it paired with the matchingdoca-telemetrylibrary version?" — worked example: "is the diagnostic- data counter set my exporter targets on this DOCA version?". Answered by the version-overlay in the capabilities companion, which redirects to the canonicaldoca-version/SKILL.mdchain and adds the tool ↔doca-telemetrylibrary schema-version match rule.
When to load this skill
Load this skill when the user is — or the agent needs
to — invoke doca_telemetry_utils on a real host with
DOCA installed, alongside an exporter / collector
pipeline that needs schema discovery, per-device
support validation, or Data ID translation.
Concretely:
Enumerating the full counter schema before writing a fresh DOCA Telemetry exporter config (
get-counters).Validating that a chosen counter + property set resolves to a Data ID the target device actually supports, before committing the config.
Reverse-resolving a Data ID captured from a downstream consumer back to a counter name + properties for correlation against the public guide.
Debugging a "exporter ships, collector receives nothing" report (the canonical schema-mismatch / unsupported-counter failure mode).
Producing a "validated counter set for this BlueField + this DOCA version" artifact as part of a structured exporter-config baseline.
Migrating an exporter pipeline across DOCA versions and confirming each previously-supported counter still resolves cleanly on the new version.
Do not load this skill for general DOCA orientation,
collector / exporter library programming, DTS
deployment, or DOCA install. For those, route to
doca-public-knowledge-map/SKILL.md,
doca-telemetry/SKILL.md,
or doca-setup/SKILL.md.
What this skill provides
This is a thin loader. Substantive material lives in two companion files:
the capabilities companion — what
doca_telemetry_utilsdiscovers + how it pairs with the developer-side surfaces: the three documented invocation classes (enumerate / name→ID / ID→name), the property- dimension model (counters carry property axes such asnode,pcie_index,depth, plus per-unit axes), the optional per-device capability probe (<device PCI> <name>runs the resolved counter against the device), the operator-side support role (this is NOT the developer-side library; it exists to make exporter / collector setups honest), the version overlay (tool ↔doca-telemetrylibrary schema version pairing), the layered error taxonomy (install / parse / unknown-counter / unknown-data-id / property-out- of-range / device-not-supported / version / cross-cutting), the observability surface (stdout-only), and the safety policy (the tool is read-only; mistakes appear downstream as silent metric drops, not crashes).the tasks companion — step-by-step workflows for the in-scope task verbs:
install(host-side DOCA + telemetry component prerequisites),configure(axis decisions: which invocation class, which device, which counter),build(route to install — the binary is shipped),modify(refuse — do not patch the binary; modify the invocation and the exporter / collector config that consumes the resolved Data IDs),run(the three documented invocations),test(round-trip a chosen counter through name → Data ID → per-device probe → exporter config → collector receipt),debug(walk the error taxonomy),use(the hand-off into the developer-sidedoca-telemetrycollector / exporter pipeline), plus aDeferred task verbsblock.
The skill assumes a host where DOCA is already
installed with the telemetry component, a BlueField
the operator is targeting is visible to DOCA, and the
exporter / collector pipeline that consumes the
resolved Data IDs is either being authored or has
already been authored against the matching
doca-telemetry/SKILL.md
library version.
What this skill deliberately does not ship
This skill is agent guidance, not a samples or scripts bundle. To keep the boundary clean, it deliberately does not contain — and pull requests should not add:
A verbatim counter inventory or Data ID table. The counter set evolves across DOCA versions and BlueField generations; an inventory pinned in this skill would silently rot.
doca_telemetry_utils get-counterson the installed binary is the authoritative source.Pre-baked exporter / collector configs. Configs are install-, device-, and use-case-specific; a packaged config in this skill would mislead operators on a different setup.
A DTS deployment recipe. DTS is a separate DOCA service with its own public guide; route via
doca-public-knowledge-map/SKILL.md. This skill resolves the counter names + IDs a DTS pipeline consumes; it does not configure DTS.Wrappers, parsers, or scripts in any language that consume the tool's output. The output is a simple text mapping; users who want to script against it should read the live guide and write the parser against their installed version.
A
samples/orreference/subtree. This is a thin loader for a shipped CLI; substantive material lives on the public page, in--help, and indoca-telemetry/SKILL.md.
Loading order
Read this skill first to confirm the user's question is in scope (operator-side support tooling for a telemetry pipeline, not the developer-side library programming).
For the three invocation classes, the property-dimension model, the per-device support probe, the version overlay, the error taxonomy, the observability surface, and the safety policy, see the capabilities companion.
For the documented invocations and the discover → resolve → validate → consume workflow —
install,configure,build,modify,run,test,debug,use— see the tasks companion.
Related skills
doca-telemetry/SKILL.md— the developer-side collector library whose schema this tool helps the operator discover. Pair them in every exporter-pipeline triage session. The collector library skill teaches the collector-vs-exporter rule, the schema-must-match contract with the publisher, and the consumer- queue-full back-pressure rule; this tool's role is to make the schema half of that contract inspectable from the operator side. Conflating the library and the tool is the most common telemetry first-touch error.doca-public-knowledge-map/SKILL.md— routing to the public DOCA Telemetry guide and the DOCA Telemetry Service (DTS) page ondocs.nvidia.com, plus the on-disk install layout for the tool.doca-version/SKILL.md— canonical DOCA version-handling rules. The## Version compatibilitysection in the capabilities companion is a concise overlay that redirects here for the body and adds the tool ↔doca-telemetrylibrary schema-version pairing rule.doca-setup/SKILL.md— env preparation, install verification, and the I have no install yet path with the public NGC DOCA container. This skill assumes its preconditions are satisfied (DOCA installed with the telemetry component, BlueField visible to DOCA).doca-debug/SKILL.md— the cross-cutting debug ladder. Telemetry-utils feeds the cross-cutting ladder by surfacing the counter schema + per-device support truth at the runtime layer; exporter-pipeline regressions often resolve at the schema layer before touching the collector / network path.doca-structured-tools-contract/SKILL.md— the bundle's detect → prefer → fall back → report contract for structured helper tools. The command appendix in the tasks companion honors this contract.doca-programming-guide/SKILL.md— general DOCA programming patterns shared by every library / tool surface, including the cross-libraryDOCA_ERROR_*taxonomy this tool's host-side error layer overlays on top of when downstream collector / exporter code surfaces a related error.
Files
- ATTRIBUTION.mdAdded by AutoGineer918 B
- BENCHMARK.md10.1 KiB
- CAPABILITIES.md20.9 KiB
- LICENSELicence file added by AutoGineer11.2 KiB
- SKILL.md14.8 KiB
- SKILLCARD.yaml2.5 KiB
- TASKS.md24.5 KiB
- evals/evals.json2.6 KiB
- skill-card.md4.7 KiB
- skill.oms.sig5.1 KiB
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs Node.js
The author says: Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with the Telemetry optional component and a BlueField DPU visible to DOCA on a known PCI address. Invokes /opt/mellanox/doca/tools/doca_telemetry_utils; per-device probe typically requires elevated privileges. The validation steps require a live DOCA install.
Security
What our scanner noticed· Medium risk
- Large base64-encoded blobs
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- NVIDIA
- Publisher
- NVIDIA (Official)
- Source
- NVIDIA/skills · skills/doca-telemetry-utils · commit fce3cca
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE-APACHE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by NVIDIA.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download doca-telemetry-utils.zip