Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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 name — typical implicit phrasings: "container green but no findings 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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Follow Loading order below. Open the tasks companion for configure / forward / debug. Open the capabilities companion for the four-axis config. Do not open every companion file.
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-goalsitem 7 and route to the public docs viadoca-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
the tasks companion 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 the capabilities companion.
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.
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.
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.
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).
Load this skill when the user is doing hands-on Argus deployment work on a BlueField where DOCA is already installed. Concretely:
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).
This is a thin loader. Substantive material lives in two companion files:
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.
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:
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.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.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
the tasks companion 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-public-knowledge-map.
The path-selection rule in
the capabilities companion
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.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake, or custom tool-calling workflows without a separate backend.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.