doca-sha-offload-engine

doca-sha-offload-engine is a Servers, networking & Linux skill for AI agents, published by NVIDIA in the skills repository on GitHub. Skillspace rates doca-sha-offload-engine D (69/100) and it passed the safety scan; the rating is based on static analysis only.

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 phrasings: "speed up openssl SHA on BlueField", "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.

Grade
D
Quality
69 / 100
Safety
Passed
GitHub stars
2,517

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubNVIDIA/skills

Our review

Architecture
78 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 1 other repositories, in 0 collections
Scope
Vendor-specific: built around one product. wires NVIDIA's public DOCA SHA hardware offload engine

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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