dynamo-interconnect-check SKILL.md skillA
dynamo-interconnect-check 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/dynamo-interconnect-check@git:20260529.efd358aPins git:20260529.efd358a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia/skills
- Path
skills/dynamo-interconnect-check/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260529.efd358a, committed May 29, 2026
- Size
- 6,405 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to confirm the KV transport is correct; use troubleshoot for diagnosing already-failed pods.
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
# Dynamo Interconnect Check <!-- SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. SPDX-License-Identifier: CC-BY-4.0 --> ## Purpose Confirm that the transport disaggregated serving depends on actually works. A deployment can pass an endpoint smoke test while disagg is silently wrong: if NIXL/UCX cannot reach the peer worker over RDMA or NVLink, KV transfer falls back to a slow or broken path. Catch that with read-only checks before trusting a disagg deployment or its benchmark numbers. This skill is read-only. It never mutates the cluster and never prints secrets. ## Prerequisites - Python 3.10+ on the operator machine. - `kubectl exec` access to a worker pod in the target Dynamo deployment. - Read access to the recipe directory (`recipes/<model>/<framework>/<mode>`). - For node-capability checks: tools like `ibstat`, `nvidia-smi`, `lsmod` available in the worker pod image (missing tools are reported as `skipped`, not failures). ## When To Use - After `dynamo-recipe-runner` deploys a **disagg** or multi-node recipe. - Before reporting disagg throughput/latency, so numbers reflect the real transport. …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/dynamo-interconnect-check@sha256:55090c73dcd785d0The line at the top of this page pins the label git:20260529.efd358a, 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_wtdokqswwzjsth3m)
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Versions
The registry has recorded 1 version of this file, committed on May 29, 2026.
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 (6405 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_wtdokqswwzjsth3m GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/dynamo-interconnect-check GET https://markdownregistry.com/api/v1/blob/55090c73dcd785d0661458b646d2d84381330ed163c13d2cd590c9c09d373884
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.