doca-flow-dpa-perf SKILL.md skillA
doca-flow-dpa-perf 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-flow-dpa-perf@git:20261014.bbb601aPins git:20261014.bbb601a 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-flow-dpa-perf/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261014.bbb601a, committed Oct 14, 2026
- First version recorded
- Jul 17, 2026
- Size
- 15,713 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Use this skill when the user is invoking doca_flow_dpa_perf on DPA-capable hardware (ConnectX-7 minimum supported, ConnectX-8 recommended, or BlueField-3) to measure rule update / disable rates on the DPA-offloaded DOCA Flow path — picking the active / passive device split, choosing workload-shape axes (burst, queue, completion threshold, workers, hash pipe algo, PSL tables), or reading Kops/sec iteration stats and the optional self-test. Trigger even when the user does not explicitly mention…
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 Flow DPA Perf (`doca_flow_dpa_perf`) ## Examples - **"How fast can the DPA program path-selector entries?"** — this is in scope on DPA-capable hardware. Do not use this for the host / DPU-CPU Flow path. - **"Tool reports zero ops on my BlueField."** — confirm BlueField-3 + VNF mode + PF/VF before changing burst or queue axes. ## Instructions Follow Loading order below. Open the tasks companion for configure / run / debug. Open the capabilities companion for device split and workload axes. Do not open every companion file. **Where to start:** This is a tool skill for invoking `doca_flow_dpa_perf`, the DPA-accelerated Flow performance tool. Open the tasks companion and start at `## configure` to confirm DPA-capable hardware + VNF Flow mode + the active / passive device split, then `## run` for the smoke-before-bulk flow with a small operation count before any sweep, then `## test` for the eval-loop overlay that gates defensible Kops/sec numbers. Open the capabilities companion when the question is *what `doca_flow_dpa_perf` can measure*, *what the DPA preconditions are*, *which devices it runs on*, or *how to interpret update / disable / self-test output without …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/doca-flow-dpa-perf@sha256:18d70cf30f08e806The line at the top of this page pins the label git:20261014.bbb601a, 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_frov3lcx3do6lsub)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 17, 2026 and Oct 14, 2026, about one every 44 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261014.bbb601a latest | 2026-10-14 | bbb601a | 15,713 B | A | view · diff |
| git:20260727.a5736e4 | 2026-07-27 | a5736e4 | 15,670 B | A | view · diff |
| git:20260717.f64fa0e | 2026-07-17 | f64fa0e | 15,323 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 (15713 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_frov3lcx3do6lsub GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/doca-flow-dpa-perf GET https://markdownregistry.com/api/v1/blob/18d70cf30f08e806e27d03de3e95f6040a31686316c888b6587cc5abc76c788f
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.