doca-flow-perf SKILL.md skillA
doca-flow-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-perf@git:20261025.3aecfe9Pins git:20261025.3aecfe9 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-perf/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261025.3aecfe9, committed Oct 25, 2026
- First version recorded
- Jul 17, 2026
- Size
- 14,825 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Use this skill when the user measures control-plane insertion throughput of DOCA Flow with the doca_flow_perf binary on x86 host or Arm cores — selecting a configs/ JSON policy, weighing the DPDK-versus-DOCA backend, running the smoke iteration then the eval loop, interpreting CPU cycles plus num_pushed / num_failed, or capturing the four-tuple (DOCA release, firmware, JSON policy, worker config) that makes an insertion figure defensible. Also load it for implied asks like…
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 Perf (`doca_flow_perf`) ## Examples - **"How many rules per second can my BlueField insert?"** — this is in scope. Stay on `doca_flow_perf`; do not retune a live Flow app here. - **"DPDK vs DOCA benchmark."** — pick the JSON policy and backend; capture the four-tuple that makes Kops/sec defensible. - **"My production pipeline is losing hardware offload."** — out of scope: that is diagnosing a live Flow application, owned by `doca-flow-tune`. Name it and stop; do not run a `doca_flow_perf` benchmark for it. ## Instructions Follow Loading order below. Open the tasks companion for configure / run / debug. Open the capabilities companion for backends and policy files. Do not open every companion file. **Where to start:** This is a tool skill for invoking `doca_flow_perf`, the host-side / DPU-CPU-side DOCA Flow performance measurement tool. Open the tasks companion and start at `## configure` to commit to the three-axis decision (target Flow pipeline shape × traffic class × measurement axis) and pick the JSON policy file that expresses the workload, then `## run` for the single-iteration smoke, then `## test` for …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/doca-flow-perf@sha256:1abd591238a9fc87The line at the top of this page pins the label git:20261025.3aecfe9, 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_vekbleckgzjtsv2o)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Jul 17, 2026 and Oct 25, 2026, about one every 33 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261025.3aecfe9 latest | 2026-10-25 | 3aecfe9 | 14,825 B | A | view · diff |
| git:20261022.a4cf47e | 2026-10-22 | a4cf47e | 15,729 B | A | view · diff |
| git:20261014.bbb601a | 2026-10-14 | bbb601a | 16,690 B | A | view · diff |
| git:20260717.f64fa0e | 2026-07-17 | f64fa0e | 15,605 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 (14825 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_vekbleckgzjtsv2o GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/doca-flow-perf GET https://markdownregistry.com/api/v1/blob/1abd591238a9fc875efb8b6534deafeada516e11c1143c17474126355ac04e71
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.