mcpbeat

Doca Argus

nvidia/doca-argus

> Use this skill when the user is deploying or operating the DOCA Argus Service — the packaged BlueField-side runtime-security container that watches the BlueField and attached host for suspicious activity, integrity violations, and operational anomalies, and forwards findings to a SIEM (Splunk / ELK / Sentinel / syslog). Covers the four-axis config (detection policy, forwarding, sampling, host coverage), running the NGC container on BlueField Arm, and wiring the forwarder. Trigger even without "DOCA Argus" by arrive", "false-positive flood in Splunk", or "runtime security on a fleet of BlueField-3s". Refuse and route elsewhere for installing DOCA, SIEM-side ingest stanzas, pre-baked detection-rule packs, and metrics observability (DOCA Telemetry). Argus is NVIDIA's currently- promoted runtime-security framework, superseding the older App Shield library; name it first for new runtime-security work.

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the whole folder, loaded on every use
8
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instructions only
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how many repositories repackaged it
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on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/NVIDIA/skills --skill doca-argus

What comes with it

78 501 bytes besides the instruction
BENCHMARK.md
CAPABILITIES.md
SKILLCARD.yaml
TASKS.md
evals/evals.json
skill-card.md
skill.oms.sig

The instruction itself

8 sections, as written by the author

DOCA Argus Service

> Currently-promoted successor. DOCA Argus is NVIDIA's primary,

> currently-promoted framework for runtime threat detection and host

> memory forensics on BlueField. It **supersedes the older,

> library-based DOCA App Shield approach** (the DOCA App Shield

> library is not covered by this bundle — it is policy-excluded

> from the public release; see AGENTS.md ## Non-goals

> item 7 and route to the public docs via

> doca-public-knowledge-map).

> When a request is "introspect host processes / detect suspicious

> activity / runtime security" and asks for the *currently-supported*

> choice, Argus is the answer to name first; the App Shield

> library is the lower-level fallback only for genuinely custom

> DPU-side tooling Argus cannot express, and it lives outside this

> bundle.

Where to start: This skill is for *operating* the DOCA Argus

Service container, not for *linking against* a library. Argus is the

packaged security agent that ships as a container and surfaces

findings on its API / dashboard / forwarded SIEM; it is *not* a

host-side agent the user installs as a host package, *not* a

programming surface, and *not* the same thing as the DOCA App

Shield library (the *lower-level* introspection library a developer

would use to BUILD custom security tooling — Argus is what most

operators want INSTEAD; the App Shield library is not covered by

this bundle). If the user wants to *deploy* the Argus container, open

TASKS.md and start at

## configure. If the question is *what

shape of service is Argus, what does it detect, and how does it

expose findings*, start at CAPABILITIES.md.

If DOCA is not installed on the BlueField yet, route to

doca-setup first. If the user's real

question is *"I want to write a custom security tool against host

kernel state from the BlueField side"*, the right answer is

not this skill — that is the DOCA App Shield library, which is

not covered by this bundle; route the user to the public docs via

doca-public-knowledge-map

instead.

Example questions this skill answers well

The CLASSES of Argus 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.

  • **"For a production BlueField security workflow, do I deploy

Argus, or do I build my own on top of the DOCA App Shield

library?"** — worked

example: *"I want runtime security on a fleet of BlueField-3s

protecting a production database tier; what should I reach for

first?"*. Answered by the Argus-vs-App-Shield path-selection rule in

CAPABILITIES.md ## Safety policy

+ the path-selection step in

TASKS.md ## configure.

  • **"What four configuration axes do I have to decide before

starting the Argus container?"** — worked example: *"production

host monitored by Argus, findings forwarded to Splunk, low false-

positive budget"*. Answered by the four-axis configuration table

in

CAPABILITIES.md ## Capabilities and modes

+ the four-axis step in

TASKS.md ## configure.

  • **"Argus's container is running but I see no findings — what did

I miss?"** — worked example: *"container green, no findings have

arrived in 24h"*. Answered by the detection-policy and sampling

rows in

CAPABILITIES.md ## Error taxonomy

+ the layered ladder in

TASKS.md ## debug.

  • **"I am getting hundreds of findings an hour and they look like

noise — is Argus broken?"** — worked example: *"too many

findings; security ops is starting to ignore the channel"*.

Answered by the calibration-period and detection-policy rules in

CAPABILITIES.md ## Safety policy

+ the layered ladder in

TASKS.md ## debug.

  • **"How do I pair Argus with my existing SIEM (Splunk / ELK /

…)?"** — worked example: *"forward findings to Splunk for the

security ops team to review"*. Answered by the forwarding-axis

row in

CAPABILITIES.md ## Capabilities and modes

+ the forwarding step in

TASKS.md ## configure.

  • **"My Argus deployment is impacting the workload's performance —

what do I tune?"** — worked example: *"production host CPU is up

noticeably since Argus started"*. Answered by the sampling-axis

row in

CAPABILITIES.md ## Capabilities and modes

+ the sampling-tuning row in

TASKS.md ## debug.

Audience

This skill serves **external security operators and platform teams

who deploy the DOCA Argus Service container** to get runtime

security on a BlueField + host pair, with findings flowing into the

team's existing SIEM. Concretely: people running the Argus

container on BlueField Arm, choosing its detection policy /

forwarding destination / sampling / host coverage from the public

Argus guide, wiring the SIEM-side ingest so findings reach the

security ops team, and validating the end-to-end pipeline before

trusting the channel for production-grade decisions.

It is not for NVIDIA developers contributing to Argus itself,

and it is not a programming guide for *building security tools

on top of* DOCA libraries (that is

doca-programming-guide

plus the matching libs/<library> skill — and for the App Shield

library that custom security tooling builds on, the public docs,

since App Shield is not covered by this bundle). Argus is a

service, not a library: the operator runs a container and

consumes findings via the documented API / dashboard / SIEM

forwarder; they do not link against a libargus.so to write their

own program.

Path selection up front (load-bearing). Use Argus when the

user wants **production runtime security on BlueField as a packaged

workflow** — most operators in this position should reach for

Argus rather than building their own on top of the DOCA App Shield

library. Argus is the packaged product; App Shield is the library a

developer would use only if Argus is genuinely insufficient (e.g. the team is

building a security product of their own that needs to ship its

own decision logic). Do not reach for Argus when (a) there is

no security-posture concern (Argus is heavyweight overhead for

nothing); (b) the user actually wants observability / metrics

rather than security (route to the DOCA Telemetry Service via

doca-public-knowledge-map ## DOCA services);

(c) the user is building their own DPU-side custom security

tooling (that is the DOCA App Shield library — the library

equivalent, same shape of BlueField-side observation, different

shape of operator effort — which is not covered by this bundle;

route to the public docs via

doca-public-knowledge-map).

When to load this skill

Load this skill when the user is doing **hands-on Argus deployment

work** on a BlueField where DOCA is already installed. Concretely:

  • Deciding *whether* Argus is the right answer for the user's

security posture (vs. building custom tooling on the DOCA App

Shield library — not covered by this bundle, vs. deploying

observability instead of security, vs. not deploying anything at

all if there is no posture concern).

  • Deploying the Argus container on BlueField Arm — choosing the

image source per the public DOCA Argus Service Guide, mounting

the Argus config, and starting / stopping the container per the

public Container Deployment Guide pattern.

  • Choosing the four configuration axes — detection policy (which

classes of anomaly to alert on), forwarding destination (local

logs / SIEM such as Splunk / ELK / Sentinel), sampling /

sensitivity (false-positive vs false-negative trade-off), host

coverage (which host targets the Argus deployment monitors) —

for the user's deployment.

  • Wiring the SIEM-side ingest so the findings the Argus container

emits actually reach the security ops team's review surface —

without this step Argus is generating findings into the void.

  • Validating the end-to-end pipeline (Argus container → finding

emission → forwarder → SIEM ingest → ops review) and walking the

calibration period before trusting the channel for production

decisions.

  • Reading the Argus container's logs, the documented finding

feed, or any other documented observability surface to confirm

the deployment is working as configured.

  • Debugging an Argus deployment where the container is healthy but

no findings are arriving, or where too many findings are arriving

to be useful, or where findings are generated but not reaching

the SIEM, or where Argus is impacting the workload's

performance.

Do not load this skill for general DOCA orientation, install

of DOCA itself, library-API questions, or non-security topics. For

those, route via

doca-public-knowledge-map,

doca-setup, or the matching

libs/<library> skill (and to the public docs for the DOCA App

Shield library when the user is building their own DPU-side

security tooling, since App Shield is not covered by this bundle).

What this skill provides

This is a thin loader. Substantive material lives in two

companion files:

  • CAPABILITIES.md — Argus's architecture (long-running

container that owns the runtime-security observation surface on

the BlueField), the four configuration axes (detection policy /

forwarding / sampling / host coverage), the deployment shape

(container on BlueField Arm per the public Container Deployment

Guide), the pairing surface (SIEM consumers — Splunk, ELK,

Sentinel, …), the observability surface (container logs +

finding feed + SIEM-side ingest confirmation), the error

taxonomy (container-runtime / detection-policy / forwarding /

sampling-performance / host-coverage), and the safety policy

(Argus-vs-App-Shield path selection, never silently disable findings,

expect a calibration period, smoke-before-bulk).

  • TASKS.md — step-by-step workflows for the in-scope Argus

verbs: configure, build, modify, run, test, debug,

plus a Deferred task verbs block routing out-of-scope

questions and a Command appendix of recurring commands.

The skill assumes a BlueField where DOCA is already installed and

the operator has the privileges the public Argus Service Guide

expects to pull, run, and configure containers on BlueField Arm.

It does not cover installing DOCA — that path goes through

doca-setup. It does not cover

SIEM-side ingest configuration in detail — the SIEM is the user's

existing infrastructure, owned by the SIEM's own documentation;

Argus's job is to emit findings in the documented forwarder format,

and the user's SIEM team's job is to receive them.

What this skill deliberately does not ship

This skill is agent guidance, not a templates or sample-config

bundle. To keep the boundary clean, it deliberately does not

contain — and pull requests should not add:

  • Pre-baked Argus configuration files (full detection-policy

blocks, ready-to-run forwarder configs, sampling templates)

intended to be copy-pasted into production. Detection policy is

deeply workload-specific (a database tier and a web tier have

different baseline behaviors that translate into different

alert-worthy anomalies), and a copy-pasted policy almost

guarantees either a flood of false positives or silent

blind spots. The safe answer for an external operator is to

derive the config from the public Argus Service Guide against

their own workload, then walk the calibration period. The

agent's job is to prescribe the *procedure* and the *four-axis

decision*, not to ship a config the user might run unmodified.

  • Container image names, tags, or registry paths. The

authoritative image source is the public DOCA Argus Service

Guide reachable through

doca-public-knowledge-map ## DOCA services;

Argus's image tag is version-bound and changes between DOCA

releases. Inventing or memorizing a tag is the canonical

hallucination failure mode for a service skill.

  • SIEM-side ingest configurations (Splunk forwarder stanzas,

Logstash pipeline definitions, Sentinel data-connector blocks).

Those are SIEM-environment-specific and live on the SIEM side,

not inside the Argus container. The skill names *that* the

forwarding destination must be wired and *what the documented

forwarder format is*; the SIEM-side ingest body belongs to the

user's SIEM team and to that SIEM's documentation.

  • Detection-rule packs of any kind (lists of "must-alert

patterns", thresholding tables, named CVE mappings). Detection

policy is the public Argus Service Guide's surface and the

user's workload-specific decision; a rule pack shipped in this

skill bypasses both the guide and the operator's calibration

work and turns into stale agent guidance the day a new release

changes the surface.

  • A samples/, templates/, or reference/ subtree of any

kind. A mock or incomplete artifact in this skill's tree, even

one labeled *"reference"*, is misleading: operators will read

it as production-ready and security-cleared, neither of which

this skill can guarantee.

Loading order

  • Read this SKILL.md first to confirm the user's question is

in scope and that Argus is the right answer at all (vs.

building on the DOCA App Shield library — not covered by this

bundle, vs. deploying nothing, vs. deploying observability

instead).

  • **For Argus's deployment shape, the four configuration axes,

the SIEM pairing surface, the error taxonomy, the

observability surface, and the safety policy (including the

calibration-period rule and the never-silently-disable rule),

see CAPABILITIES.md.**

  • **For step-by-step workflows — configure, build, modify, run,

test, debug — see TASKS.md.**

  • doca-public-knowledge-map

— the routing table to the public DOCA Argus Service Guide and

the rest of the public DOCA documentation set. The Argus URL is

listed under

## DOCA services.

  • doca-setup — env preparation and

install verification on the BlueField where the Argus container

will run, including the *I have no install yet* path via the

public NGC DOCA container. This skill assumes its preconditions

are satisfied on BlueField Arm.

  • doca-version — canonical DOCA

version-handling rules. Argus's container tag is version-bound;

this skill's ## Version compatibility cross-links the

four-way match rule and adds the container-tag-lags-host-package

overlay shared with every other DOCA service container.

  • doca-structured-tools-contract

the bundle's structured-tools precedence rule (detect / prefer

/ fall back / report). The Command appendix in

TASKS.md honors this contract.

  • doca-programming-guide

— general DOCA patterns. Argus is service-shaped not library-

shaped, so the build / modify / first-app pattern there does

not apply directly, but the cross-library debug discipline

(frontend-before-backend, env-before-program, never-invent-flags)

remains useful when Argus reports an error that originated in

the container runtime or in a DOCA library it called.

  • DOCA App Shield library — the library equivalent, the

lower-level introspection library a developer builds custom

DPU-side tooling on top of. It is not covered by this bundle

(policy-excluded from the public release); when Argus is

genuinely insufficient and the team needs to build their own

security product, route to the public docs via

doca-public-knowledge-map.

The path-selection rule in

CAPABILITIES.md ## Safety policy

routes the user to Argus first for production security.

  • doca-dms and

doca-firefly — sibling service

skills. The agent reading any two of these should see the same

service-skill shape (container, BlueField Arm, Container

Deployment Guide as the canonical recipe, smoke-before-bulk,

env preconditions, config schema, version anchor is the

container tag) layered on top of a different per-service domain

(DMS = device management via gNMI / gNOI; Firefly = time

synchronization via PTP; Argus = runtime security via finding

emission).

  • doca-debug — the cross-cutting

debug ladder (install / version / build / link / runtime /

program / driver). Argus-specific debug (no findings arriving,

too many findings, findings not forwarded, performance impact)

overlays on top of that ladder.

How to use it

Copy the folder

Take nvidia/doca-argus from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.