doca-bench SKILL.md skillA
doca-bench from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/doca-bench@git:20261028.3d06e7ePins git:20261028.3d06e7e in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia/skills
- Path
skills/doca-bench/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261028.3d06e7e, committed Oct 28, 2026
- First version recorded
- Jul 17, 2026
- Size
- 13,816 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Run `doca_bench` (DOCA 2.7.0 or newer) to measure throughput, bulk latency, precision latency, or maximum bandwidth for RDMA, Compress, AES-GCM, SHA, DMA, EC, Ethernet, Comch, or GPUNetIO on a host or BlueField Arm. Use it to discover enabled benchmark libraries, capture a reproducible command/version/device/environment baseline, compare stable runs against a declared tolerance, or diagnose configuration, device-binding, workload-precondition, and measurement failures. Trigger for requests…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# DOCA Bench (`doca_bench`) ## Examples - **"What does this DOCA library actually deliver on this device?"** — this is in scope. Stay on `doca_bench`; do not write a custom microbenchmark. - **"Which DOCA libraries can `doca_bench` drive on this install?"** — probe the built-in query first; empty enumeration is a missing library, not a bench failure. ## Instructions Follow Loading order below. Open the tasks companion for configure / run / debug. Open the capabilities companion for modes and measurement soundness. Do not open every companion file. **Where to start:** This is a tool skill for invoking `doca_bench`, the cross-library micro-benchmark harness. Open the tasks companion and start at `## configure` for the three-axis decision (target library × workload shape × measurement axis), then `## run` for the smoke-before-bulk flow. Open the capabilities companion when the question is *what `doca_bench` can measure*, *which DOCA libraries it can drive*, or *how to interpret throughput / latency / op-rate output without fooling yourself on warm-up or steady-state*. If DOCA is not installed yet, route to `doca-setup/SKILL.md` first; if the install …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/doca-bench@sha256:cb70c7974e436e61The line at the top of this page pins the label git:20261028.3d06e7e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_yjdlgh5hh7wmelps)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jul 17, 2026 and Oct 28, 2026, about one every 26 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261028.3d06e7e latest | 2026-10-28 | 3d06e7e | 13,816 B | A | view · diff |
| git:20261022.a4cf47e | 2026-10-22 | a4cf47e | 13,895 B | A | view · diff |
| git:20261014.bbb601a | 2026-10-14 | bbb601a | 14,128 B | A | view · diff |
| git:20260727.a5736e4 | 2026-07-27 | a5736e4 | 13,923 B | A | view · diff |
| git:20260717.f64fa0e | 2026-07-17 | f64fa0e | 14,022 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13816 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_yjdlgh5hh7wmelps GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/doca-bench GET https://markdownregistry.com/api/v1/blob/cb70c7974e436e61c46c73a4bf929216d03f435e13474cddb18696137652492d
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.