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AF 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 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.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 3 551 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

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…

As a process F 65/100 · Will not run — References files that are not bundled: TASKS.md, TASKS.md, TASKS.md

ProcedureInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
65/100
Will not run
References files that are not bundled: TASKS.md, TASKS.md, TASKS.md
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: TASKS.md
  • warning missing-ref reference to a missing file: TASKS.md
  • warning missing-ref reference to a missing file: TASKS.md
  • warning missing-ref reference to a missing file: CAPABILITIES.md
  • warning missing-ref reference to a missing file: ../../doca-setup/SKILL.md
  • warning missing-ref reference to a missing file: ../../libs/doca-sha/SKILL.md
  • warning missing-ref reference to a missing file: CAPABILITIES.md
  • warning missing-ref reference to a missing file: CAPABILITIES.md
  • warning missing-ref reference to a missing file: TASKS.md
  • warning missing-ref reference to a missing file: CAPABILITIES.md
  • warning missing-ref reference to a missing file: ../../libs/doca-sha/CAPABILITIES.md
  • warning missing-ref reference to a missing file: ../../doca-version/SKILL.md
  • warning missing-ref reference to a missing file: ../../doca-debug/SKILL.md
  • warning missing-ref reference to a missing file: ../../doca-public-knowledge-map/SKILL.md
  • warning missing-ref reference to a missing file: ../../doca-hardware-safety/SKILL.md

Process rating: all ten parameters 65/100

Will not run. References files that are not bundled: TASKS.md, TASKS.md, TASKS.md
  • 0Tools and files. 15 referenced file(s) missing: TASKS.md, TASKS.md, TASKS.md
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 5 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 31 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3551 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 993: 120–800 characters recommended
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 31 items
  • +3Output format is stated explicitly
  • +4Has examples (0 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.