Doca Sha

DOCA SHA workflows

Where to start: The verbs run configure → build → modify → run → test → debug. Skip ahead only when the user is already past a verb. The ## test verb is an iterative loop (cap check → known-vector smoke → small-bulk → full-bulk → loop back if the algorithm or buffer sizing changed), not a one-shot pass — see the eval-loop overlay in ## test below.

Read this file when the loader sent you here from SKILL.md. For the underlying capability surface, algorithm enums, one-shot-vs-partial task split, capability-query rules, error taxonomy, observability, and safety / path-selection policy, see CAPABILITIES.md. For the cross-library DOCA patterns layered under everything below (the universal lifecycle, the cross-library DOCA_ERROR_* taxonomy, the modify-a-shipped-sample workflow), see doca-programming-guide/SKILL.md.

Each verb below describes the shape of the workflow, not a copy-paste recipe. The agent's job is to walk the user through the steps in order, verifying preconditions before recommending the next call.

configure

Goal: bring up a DOCA SHA context on a host or BlueField and confirm the device's accelerator supports the algorithm and buffer sizes the user actually intends to use.

Steps the agent should walk the user through:

1. Confirm the installed DOCA version. Use the procedure in doca-version TASKS.md ## configure (doca-version/TASKS.md#configure). Quote the version observed (pkg-config --modversion doca-sha, then doca_caps --version); do not assume "latest".

2. Discover the device capability surface for SHA. Run doca_caps --list-devs to see which devices have SHA capability, then run the per-doca_devinfo doca_sha_cap_* queries against the candidate device. Record at minimum: doca_sha_cap_task_hash_get_supported(devinfo, algorithm) and doca_sha_cap_task_partial_hash_get_supported(devinfo, algorithm) for each algorithm the user is considering — these two folded calls cover both task-support and algorithm-support; there is no separate _is_supported or doca_sha_cap_is_algorithm_supported cap query in the public header. Also record doca_sha_cap_get_min_dst_buf_size(devinfo, algorithm) and doca_sha_cap_get_max_src_buf_size(devinfo). The capability surface to compare against lives in CAPABILITIES.md ## Capabilities and modes.

3. Decide whether to offload at all. Per the path-selection bullets in CAPABILITIES.md ## Safety policy, doca-sha is the right answer only when the input is bulk, repeated, or already pinned in doca_mmap memory. For a tiny one-shot hash, recommend CPU — do not invent a doca-sha use case the user did not ask for.

4. Pick the task type. One-shot (doca_sha_task_hash) if the input fits in max_src_buf_size and is available in full at submit time; partial (doca_sha_task_partial_hash) if the input is larger or arrives in chunks. The pick decides the next-step code shape; the trade-off table lives in CAPABILITIES.md ## Capabilities and modes. Do not pick for the user when their intent is ambiguous — ask.

5. Configure the SHA instance. Mandatory before doca_ctx_start(): enable at least one task type (doca_sha_task_hash_set_conf and/or doca_sha_task_partial_hash_set_conf); set source mmap permissions (doca_mmap_set_permissions to include DOCA_ACCESS_FLAG_LOCAL_READ_ONLY); set destination mmap permissions (DOCA_ACCESS_FLAG_LOCAL_READ_WRITE); size the destination buffer to at least doca_sha_cap_get_min_dst_buf_size(devinfo, algorithm). Per the matrix in CAPABILITIES.md ## Safety policy.

6. Sanity check before any task submission. Confirm with the user: which algorithm, which task type, source-buffer size, and destination-buffer size. Select a published NIST SHA test vector and record its expected digest; the actual hash and comparison happen after the binary is built, in ## run step 2 and ## test step 3, before any user data flows. If any step fails with a DOCA_ERROR_*, route through the error taxonomy in CAPABILITIES.md ## Error taxonomy before retrying.

For the canonical DOCA universal lifecycle that underlies steps 4-6, see doca-programming-guide TASKS.md ## configure (doca-programming-guide/TASKS.md#configure). This skill adds the SHA overlay; do not re-explain the lifecycle here.

build

Goal: produce a binary that links DOCA SHA against the user's installed DOCA, using the canonical cross-library build pattern.

The build pattern for any DOCA C/C++ consumer is identical across libraries — pkg-config for include + link flags, meson or CMake as the build system — and is fully documented in doca-programming-guide TASKS.md ## build (doca-programming-guide/TASKS.md#build). This skill carries only the SHA-specific overlay:

For non-C consumers (Rust, Go, Python), the link surface is the same *.so files; the FFI wrapper layer is the language-specific binding and is out of scope for this skill — but the four slots above are still the load-bearing inputs the wrapper needs.

modify

Goal: take a shipped DOCA SHA sample as the verified starting point and apply a minimum-diff modification to express the user's intent.

The universal modify-a-shipped-sample workflow lives in doca-programming-guide TASKS.md ## modify (doca-programming-guide/TASKS.md#modify). Use it as-is. The SHA-specific overlay is the modify-from-sample schema fill — the five slots the agent must elicit from the user before recommending any code-level edit:

The agent emits an intent description + the five filled slots; the actual unified diff against the sample source is produced by the user (this bundle has no diff renderer). The agent must walk the user through the diff line-by-line against the sample source they read on disk, and have the user paste back the result for validation.

run

Goal: actually execute the built binary against the user's installed DOCA on a host or BlueField, with a real input.

Steps the agent should walk the user through:

1. Confirm the device is reachable. SHA runs on a single side (no peer); the only env-side requirement is that the doca_dev the binary opens corresponds to a device whose accelerator the user expects. Mismatched doca_dev selection (opening a NIC without SHA accelerator support) returns DOCA_ERROR_NOT_SUPPORTED at task submit, not at open.

2. Run the known-vector smoke first. A binary that hashes one short input with a published digest and compares the output is the cheapest correctness signal. Do not bulk-hash before this passes.

3. Capture the structured log. Set DOCA_LOG_LEVEL=trace for the first run (see doca-debug CAPABILITIES.md ## Observability (doca-debug/CAPABILITIES.md#observability)). This is the cheapest way to make the lifecycle and task-submit transitions visible on first failure.

4. Capture the completion events on the PE. A run that produces no completion events but doesn't error is almost always a missed doca_pe_progress() call. Confirm the progress engine is being driven on the main thread.

test

Goal: prove the configured SHA context can actually produce correct digests at the user's intended throughput, on the user's hardware, and that the algorithm and buffer sizing were right.

Performance harness routing. For throughput / latency measurement on the configured SHA context (or for cross-library comparison against the other DOCA crypto primitives), route the user to doca-bench TASKS.md ## test (doca-bench/TASKS.md#test) — doca-bench is the cross-library performance harness with documented warm-up / steady-state / outlier semantics, and it explicitly supports SHA. The iteration loop below stays the correctness harness; doca-bench is the performance harness.

This is a loop, not a one-shot pass. Each iteration narrows either the algorithm, the buffer sizing, the task type, or the permission set. The loop terminates when either (a) the user's intended hash workload produces correct digests end-to-end with acceptable throughput, or (b) the agent has narrowed the failure cause to a layer outside DOCA SHA itself (driver / firmware / device) and escalated to the matching skill.

Iteration shape:

1. Capability re-check. Re-run doca_sha_cap_task_hash_get_supported(devinfo, algorithm) (and _task_partial_hash_get_supported(devinfo, algorithm)), doca_sha_cap_get_min_dst_buf_size, and doca_sha_cap_get_max_src_buf_size against the active doca_devinfo. If either task-support query returns anything other than DOCA_SUCCESS, that's the answer: the user's device or DOCA version does not support the requested config. If either buffer-size query fails, route its doca_error_t through the error taxonomy before changing the intent or install.

2. Permission cross-check. Compare the configured source + destination mmap permissions against the matrix in CAPABILITIES.md ## Safety policy. Mismatches surface as DOCA_ERROR_NOT_PERMITTED on the first task submission, not at configure time.

3. Known-vector smoke. Hash one short fixed input (e.g. the empty string, "abc", or the million-a NIST SHA test vector) and compare the accelerator's digest against the published digest byte-for-byte. If the digests differ, the configuration is wrong — do not proceed to bulk input.

4. Completion drain. Confirm completion events arrive on the PE for every submitted task. Submitted but no completion is the most expensive class of bug to discover late; confirm it on the known-vector smoke before bulk submissions.

5. Bulk one-shot test. If the user intends one-shot hashing, submit a series of one-shot tasks (small inputs first, then sizes approaching max_src_buf_size) and verify the digests against a CPU SHA reference (OpenSSL or similar). Throughput numbers come from this step; correctness comes from step 3.

6. Partial-hash test (if used). If the user intends partial / incremental hashing, submit a sequence of intermediate chunks followed by the finalize call; verify the final digest against the equivalent one-shot digest (or against a CPU reference). Order matters here: marking the task final on the first buffer (before any intermediate submit) is undefined behavior, not a defined error — if a single buffer is all you have, use a non-partial doca_sha_task_hash instead. That is the most common partial-hash bug.

7. Negative test. Once the positive path works, intentionally request an algorithm the device should NOT support (per step 1) and confirm the failure is the expected DOCA_ERROR_NOT_SUPPORTED. This validates the agent's capability-discovery is itself correct.

Eval-loop overlay — why this is a loop, not a one-shot pass:

Loop terms are exact: an iteration's kind is the Iteration trigger row selected above; its prescribed change is that row's What changes next iteration action; and its evidence is the cap-query snapshot, submit / completion result, and digest comparison captured before and after that change. The outcome is resolved when the named smoke turns green, shape-changed when the re-run selects a different trigger row or materially changes that evidence, and unchanged when the prescribed change was applied but the re-run selects the same trigger row with the same outcome and materially unchanged evidence. The baseline occurrence and that post-change re-run are the two consecutive iterations; on unchanged, stop and escalate to doca-debug TASKS.md ## debug (doca-debug/TASKS.md#debug) with the captured cap-query snapshot + known-vector diff as evidence.

debug

Goal: when a DOCA SHA call returns a DOCA_ERROR_* (or the program produces no completion event), narrow the cause to a specific layer and act on it.

The cross-library debug ladder lives in doca-debug TASKS.md ## debug (doca-debug/TASKS.md#debug). Walk through it in order — install → version → build → link → runtime → program → driver — before recommending SHA-specific fixes. This skill's overlay names the SHA-specific manifestation at layers 5 (runtime) and 6 (program):

Layer 5 (runtime) — SHA overlay.

• Walk the lifecycle: was the context started? Was the task enabled before start (doca_sha_task_*_set_conf before doca_ctx_start())? Submitting before the task is enabled returns DOCA_ERROR_BAD_STATE, not a clear symptom.

• Confirm the PE is being progressed. No completion events is almost always a missing doca_pe_progress() in the user's main loop.

• Confirm both the source mmap and the destination mmap are still alive at submit time. Destroying either before doca_ctx_destroy is a use-after-free that surfaces as DOCA_ERROR_BAD_STATE from subsequent calls.

Layer 6 (program) — SHA overlay.

• Buffer-sizing matrix: the most common SHA program-layer bug is a destination buffer smaller than doca_sha_cap_get_min_dst_buf_size(devinfo, algorithm) — surfaces as DOCA_ERROR_INVALID_VALUE at submit. The matching source-buffer error is a source larger than doca_sha_cap_get_max_src_buf_size(devinfo); the fix there is to switch to doca_sha_task_partial_hash.

• Algorithm enum drift: an _alloc_init call that quotes a DOCA_SHA_ALGORITHM_* enum for which the cap query returns something other than DOCA_SUCCESS returns DOCA_ERROR_NOT_SUPPORTED. Re-run the cap query against the active doca_devinfo; do not assume from prior installs.

• Partial-hash ordering: marking a doca_sha_task_partial_hash task final on the first buffer (before any intermediate submit) is undefined behavior, not a defined error — use a non-partial doca_sha_task_hash instead when a single buffer is all you have. Walk the user's submit sequence chunk-by-chunk; at least one intermediate chunk must be submitted before the task is marked final.

• Known-vector mismatch: if the digest is the wrong length, the algorithm enum is wrong. If the digest is the right length but the bytes don't match the published vector, the input buffer contents differ from what the user thinks (off-by-one length, a stray trailing newline, or an endian assumption on the comparison).

Once the layer is identified, route to the matching debug verb on the matching skill: install / build / link / driver to doca-setup ## debug (doca-setup/TASKS.md#debug); version to doca-version ## debug (doca-version/TASKS.md#debug); cross-cutting runtime to doca-debug ## debug (doca-debug/TASKS.md#debug); program-layer Core-context patterns to doca-programming-guide TASKS.md ## debug (doca-programming-guide/TASKS.md#debug).

Deferred task verbs

The following verbs are out of scope for this skill but are commonly asked in the same conversations. Route them as follows so the agent does not invent guidance:

• install. Installing DOCA, choosing packages, post-install verification, pkg-config wiring — defer to doca-setup/SKILL.md and to the install-tree layout in doca-public-knowledge-map ## Layout of an installed DOCA package (doca-public-knowledge-map/SKILL.md#layout-of-an-installed-doca-package). This skill assumes DOCA is already installed.

• deploy. Deploying SHA-using applications at scale (file integrity workers across many hosts, content-addressed storage daemons, Kubernetes operator workflows) — out of scope for this skill. For single-host first-run testing, the right verb in this skill is ## run; do not invent a "deploy" workflow.

• rollback. Coordinated rollback of SHA-using applications across many hosts — out of scope. For a single in-session SHA configuration rollback, the right verb in this skill is destroying the context (doca_ctx_stop → doca_ctx_destroy) and re-running ## configure with corrected parameters.

• kernel-level driver install / firmware burn. SHA depends on the underlying ConnectX firmware and BlueField BFB; if the debug ladder lands on a driver-layer issue, the fix is via mlxconfig / mlxfwreset / re-imaging the BFB, all of which belong to doca-setup ## debug (doca-setup/TASKS.md#debug) layer 5.

Command appendix

Every command below is cross-cutting on DOCA SHA — it answers a recurring class of question that comes up in the verbs above. The agent should treat the class as load-bearing; the worked example is a single instance. Run-as user is the unprivileged user unless noted. Rows that need elevated privileges call that out explicitly.

Infra-aware preamble (every row below). Per the bundle's detect → prefer → fall back → report contract documented in doca-structured-tools-contract ## The agent behavior contract (doca-structured-tools-contract/SKILL.md#the-agent-behavior-contract), the agent should:

1. Probe for the matching structured helper FIRST (doca-env --json for version + devices + libraries + drivers + hugepages in one shot; doca-capability-snapshot for per-device capability flags; version-matrix.json for "available since" lookups).

2. If the probe succeeds, the structured tool's output is the authoritative answer and the agent SHOULD NOT also run the manual command in the row below. Report "using structured <tool>".

3. If the probe fails, fall back to the manual command in the row. Report "falling back to manual chain".

4. The schemas the structured tools emit are defined in doca-structured-tools-contract ## Schemas (doca-structured-tools-contract/SKILL.md#schemas); the version-handling semantics (four-way match, NGC, headers-win) are owned by doca-version/SKILL.md.

For commands shared across libraries (pkg-config --modversion, doca_caps, cat /opt/mellanox/doca/applications/VERSION, DOCA_LOG_LEVEL) the cross-library overlay is in doca-debug TASKS.md ## Command appendix (doca-debug/TASKS.md#command-appendix); this table adds the SHA-specific rows on top.