mcpbeat

Doca Sha Offload Engine

nvidia/doca-sha-offload-engine

> Use this skill when wiring the DOCA SHA Offload Engine (an OpenSSL ENGINE) into an existing OpenSSL pipeline to offload one-shot SHA-1, SHA-256, or SHA-512 (EVP_Digest) onto DOCA SHA hardware without rewriting against doca-sha. Covers engine load mechanics (`openssl engine dynamic`, `set_pci_addr` ctrl, `-engine_impl`), the SHA-224 negative test that proves offload engaged, the message-size window where offload beats CPU SHA, and engine-vs-library selection. Trigger even when the user does not say "DOCA SHA Offload Engine" or "OpenSSL ENGINE" — typical implicit "offload SHA without code changes", "is openssl using the accelerator or falling back to software", "prove DOCA SHA actually ran", "openssl dgst hashed but I'm not sure it was offloaded". Refuse and route elsewhere for new SHA pipelines (use doca-sha), MD5 / SHA-3 / SHA-224 / HMAC-SHA offload, incremental hashing via chained `EVP_DigestUpdate`, or OpenSSL PROVIDER authoring.

20k tokens
context cost
the whole folder, loaded on every use
8
files
instructions only
0
copies elsewhere
how many repositories repackaged it
2778
stars on the repo
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-sha-offload-engine

What comes with it

64 018 bytes besides the instruction
BENCHMARK.md
CAPABILITIES.md
SKILLCARD.yaml
TASKS.md
evals/evals.json
skill-card.md
skill.oms.sig

The instruction itself

9 sections, as written by the author

DOCA SHA Offload Engine

Where to start: This is a tool skill for the OpenSSL

ENGINE shipped in the DOCA SOURCE tree under

doca/tools/sha_offload_engine/ and INSTALLED on the host

under ${DOCA_DIR}/tools/doca_sha_offload_engine/ as

libdoca_sha_offload_engine.so. The directory-name shift

(sha_offload_engine in the source layout vs

doca_sha_offload_engine in the install layout) is an

NVIDIA packaging convention, not a bundle inconsistency;

both forms appear below and are the same artifact at

different lifecycle stages — quote whichever the prompt is

about (build-from-source vs runtime-load). It is not a CLI

it is a shared object loaded by an OpenSSL-based

application or by openssl itself, that re-routes SHA-1 /

SHA-256 / SHA-512 (one-shot only, via the EVP_Digest

interface) onto the DOCA SHA hardware path. Open

TASKS.md and start at

## configure for the PCIe-address

configuration and the OpenSSL prerequisites; jump to

## run for the *"load the engine and

prove it actually runs"* flow. Open

CAPABILITIES.md when the question is

*what the engine actually offloads vs falls back to*,

*when the engine is a perf win vs not*, or *how to verify

offload actually engaged*. If DOCA is not installed yet,

route to doca-setup first.

If the user is building a new SHA pipeline from scratch

(not wrapping an existing OpenSSL-based one), this skill

is the wrong surface — route to

../../libs/doca-sha/SKILL.md

instead.

Example questions this skill answers well

The CLASSES of doca-sha-offload-engine 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.

  • **"I have an existing OpenSSL-based pipeline doing SHA;

can I offload the SHA to DOCA without rewriting the

app?"** — worked example: *"the app uses

EVP_DigestInit_ex / EVP_DigestUpdate /

EVP_DigestFinal_ex against EVP_sha256(); can I

drop in DOCA-SHA offload via an engine load?"*.

Answered by the *"when this engine is the right

surface"* rule in

CAPABILITIES.md ## Capabilities and modes

+ the engine-load mechanics in

TASKS.md ## configure.

  • **"Did the engine actually load? Or did OpenSSL just

fall back to software SHA?"** — worked example: *"my

openssl dgst invocation completed; how do I know

DOCA SHA actually did the work and OpenSSL did not

silently use the software path?"*. Answered by the

*"prove the engine actually ran"* pattern in

CAPABILITIES.md ## Observability

(the SHA-224 negative test and the -engine_impl

flag) + the verification flow in

TASKS.md ## test.

  • **"For what message-size range is the engine offload a

win vs CPU SHA?"** — worked example: *"my pipeline

hashes 4 KB blocks at a time; is the engine a win

there, or does the round-trip to DOCA SHA cost more

than the CPU hash itself?"*. Answered by the

message-size-window rule in

CAPABILITIES.md ## Capabilities and modes

+ the openssl speed perf-comparison pattern in

TASKS.md ## test.

  • **"What SHA algorithms does the engine actually

support — and what happens for the ones it does not?"**

— worked example: *"my pipeline mixes SHA-1, SHA-256,

SHA-512, and SHA-224 — what does the engine do for

each?"*. Answered by the algorithm-coverage matrix in

CAPABILITIES.md ## Capabilities and modes.

  • **"Should I use this engine, or call doca-sha

directly?"** — worked example: *"I am writing a new

service from scratch; does the engine save me work or

does it add complexity I do not need?"*. Answered by

the *"engine vs library"* selection table in

CAPABILITIES.md ## Capabilities and modes.

  • **"What OpenSSL versions does the engine require, and

what about OpenSSL 3.x's deprecation of the ENGINE

API?"** — worked example: *"my host has OpenSSL 3.0;

will the engine still load?"*. Answered by the version

overlay in

CAPABILITIES.md ## Version compatibility

(verified surface: the engine is documented for

OpenSSL 1.1.1f on Ubuntu 20.04 and OpenSSL 3.0.2 on

Ubuntu 22.04 per the shipped readme.md).

Audience

This skill serves **external developers and operators who

have an existing OpenSSL-based pipeline doing SHA hashing

and want to offload SHA onto DOCA SHA without rewriting

their application against the doca-sha C API**.

Concretely:

  • A developer integrating DOCA SHA acceleration into a

service that already uses EVP_Digest for SHA-1 /

SHA-256 / SHA-512.

  • An operator deploying an openssl dgst / `openssl

speed` based pipeline and wanting to measure the win

from DOCA SHA offload without changing the pipeline's

invocation surface.

  • An SRE / performance engineer producing a *"this is

the engine-offload win vs CPU SHA on this message-size

mix"* artifact to inform a code-change decision (e.g.

*"should we adopt the engine as-is, or rewrite to

doca-sha for finer control?"*).

  • An AI agent answering *"can I drop DOCA SHA into this

OpenSSL-based app without code changes"* honestly —

with the verified algorithm-coverage matrix, the

message-size window, and the verification pattern that

proves the engine actually ran.

It is not for users building a new SHA pipeline from

scratch (route to

../../libs/doca-sha/SKILL.md),

not for users wanting MD5 / SHA-2-224 / SHA-3 /

HMAC-SHA offload (the engine does not implement those —

the verified surface per the engine's source is one-shot

SHA-1, SHA-256, SHA-512 via EVP_Digest), and not a

substitute for the public DOCA SHA programming guide.

Language scope

The DOCA SHA Offload Engine is shipped as a **C dynamic

shared object** (libdoca_sha_offload_engine.so) built

from `doca/tools/sha_offload_engine/{engine/doca_sha_offload_engine.c,

lib/doca_sha_offload_lib.{c,h}} via meson`. Its

*consumer* interface is OpenSSL's ENGINE API; any

language that calls OpenSSL (C, C++, Rust via openssl

crate, Python via cryptography and pyca/cryptography's

backend, Node via node:crypto) can therefore *use* the

engine, provided the language binding either calls

ENGINE_load_dynamic / ENGINE_by_id directly or honors

an OpenSSL engines config that loads it. The skill's

language-neutral contribution is the engine-load mechanics

and the verification pattern; the OpenSSL ENGINE API is

the contract.

When to load this skill

Load this skill when the user is — or the agent needs to

— deploy the DOCA SHA Offload Engine into an OpenSSL-based

pipeline on a host with DOCA installed and a SHA-capable

device. Concretely:

  • Wiring the engine into an existing OpenSSL-based

application or openssl CLI invocation, with the

intent of no source-level code changes (or only the

minimum ENGINE_load_dynamic / ENGINE_by_id block

shown in the verified readme.md).

  • Verifying the engine actually engaged for the

hot-path digests (the *"is offload real or did OpenSSL

fall back to software"* question).

  • Characterizing the message-size range over which the

engine is a perf win vs the CPU sha1 / sha256 /

sha512 paths.

  • Deciding between *"adopt the engine"* (existing

pipeline, minimal change) and *"rewrite to doca-sha"*

(new pipeline, fine-grained control needed).

Do not load this skill for users building a new

SHA-pipeline from scratch — route to

../../libs/doca-sha/SKILL.md.

Do not load this skill for users wanting algorithms the

engine does not implement (MD5, SHA-3, SHA-224, HMAC-SHA,

streaming/incremental SHA via EVP_DigestUpdate chains

that the engine treats as one-shot only).

What this skill provides

This is a thin loader. Substantive material lives in

two companion files:

  • CAPABILITIES.md — what the engine offloads (verified:

one-shot SHA-1, SHA-256, SHA-512 via the OpenSSL

EVP_Digest high-level interface), what it does NOT

offload (anything else — including SHA-224, MD5,

SHA-3, HMAC-SHA, and any chained

EVP_DigestInit_ex / EVP_DigestUpdate /

EVP_DigestFinal_ex pattern that the engine implements

by buffering and then calling DOCA SHA in one shot at

Final), the engine-vs-library selection rule, the

message-size-window rule for when offload is a perf

win, the verified ctrl-cmd surface (set_pci_addr),

the version overlay (OpenSSL ≥ 1.1.1; the engine's

shipped tests cover OpenSSL 1.1.1f and OpenSSL 3.0.2

per the readme.md; OpenSSL 3.x deprecates the ENGINE

API but still supports it via the legacy code path),

the layered error taxonomy, the observability surface

(the *"prove offload engaged"* pattern using the

SHA-224 negative test and -engine_impl), and the

safety overlay.

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

task verbs: install, configure (PCIe address

selection — the engine defaults to 03:00.0 and

exposes the set_pci_addr ctrl-cmd plus a build-time

override per the shipped test_cmdline_mode/readme.md),

build (the meson flow), modify (refuses source

patching; modify the load-time invocation and the

PCIe address instead), run (load the engine via

openssl engine dynamic; the verification pattern;

the OpenSSL programmatic ENGINE_load_dynamic block),

test (the *"prove the engine ran"* SHA-224 negative

test; the openssl speed perf comparison; the

message-size window characterization), debug (walk

the error taxonomy layer by layer), use (the

engine-vs-library decision for the user's specific

pipeline), plus a Deferred task verbs block.

The skill assumes a host where DOCA is already installed,

OpenSSL ≥ 1.1.1 is present (libssl-dev or equivalent),

and the deploying user can access the selected DOCA SHA PCIe device. Verify

device visibility and run the engine-load smoke as that same user before

integration; if either fails with a permission error, stop and route to

doca-setup rather than guessing a group, ACL, or sudo policy.

What this skill deliberately does not ship

This skill is agent guidance, not a samples or

scripts bundle. It deliberately does not contain — and

pull requests should not add:

  • Pre-written OpenSSL ENGINE application source code

beyond the verbatim verified block in the shipped

readme.md (the ENGINE_load_dynamic /

ENGINE_by_id / ENGINE_ctrl_cmd_string /

ENGINE_init / ENGINE_set_default_digests sequence,

cross-referenced into TASKS.md ## run).

The shipped readme is the worked example.

  • **A samples/, bindings/, or reference/

subtree.** This is a thin loader for a shipped

shared-object; substantive material lives in the

shipped readme.md and the doca-sha library docs.

  • Performance numbers from agent memory. The

message-size-window where the engine wins is

device-, firmware-, OpenSSL-version-, and

workload-specific. The openssl speed comparison

pattern in TASKS.md ## test is the

way to capture it on the user's actual hardware;

quoting a number from memory is the cross-platform

failure mode this skill exists to prevent.

  • Wrappers, parsers, or scripts in any language

that consume the engine's stdout or the `openssl

speed` output format.

Loading order

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

question is in scope (the user actually has an

existing OpenSSL-based pipeline and wants to offload

to DOCA SHA *without* code changes; if the user is

building from scratch, route to

../../libs/doca-sha/).

  • **For what the engine offloads vs falls back, the

engine-vs-library selection rule, the message-size-

window rule, the version overlay, the error taxonomy,

the observability surface (and the prove-offload-

actually-engaged pattern), and the safety overlay,

see CAPABILITIES.md.**

  • **For step-by-step workflows — install,

configure, build, modify, run, test,

debug, use — see TASKS.md.**

  • ../../libs/doca-sha/SKILL.md

the underlying DOCA SHA library. The engine is a

thin OpenSSL-ENGINE wrapper around doca-sha; when the

user needs fine-grained control over the SHA task

surface (partial-hash, custom buffer permissions,

cap-query for unusual message sizes), the library is

the right answer. The engine wraps the *one-shot*

task; the library exposes both one-shot and partial-

hash per

../../libs/doca-sha/CAPABILITIES.md#capabilities-and-modes.

  • doca-version — the

canonical version-detection chain. The engine has a

TWO-axis version overlay (DOCA-side and OpenSSL-side);

the version skill carries the four-way match rule

this skill layers on top of.

  • doca-debug — the

cross-cutting debug ladder. The engine surfaces its

own error taxonomy; when the cause is below DOCA

(driver, firmware), the taxonomy hands off here.

  • doca-setup — env

preparation, install verification, the libssl-dev

install path, and the NGC DOCA container path.

  • doca-public-knowledge-map

routing to the public DOCA SHA documentation set on

docs.nvidia.com/doca/sdk/ and to the OpenSSL

ENGINE / openssl-engine upstream documentation on

openssl.org.

  • doca-hardware-safety

the bundle-wide hardware-safety meta-policy. The

engine binds to a specific PCIe device; the

set_pci_addr ctrl is the artifact-specific overlay,

but any host-side change underneath (firmware burn,

BFB reflash) runs through the meta-policy.

How to use it

Copy the folder

Take nvidia/doca-sha-offload-engine 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.