dynamo-interconnect-check
Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink.
Skill by Dan Gil <dagil@nvidia.com>
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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- Python package
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codeload.github.com· found in install command
Files it touches
~/.claude/skills/dynamo-interconnect-check
What's inside
- Skill name
dynamo-interconnect-check- Description
- 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.
- License
- Apache-2.0
- Metadata
- author: Dan Gil <dagil@nvidia.com>
- Instructions
- 148 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (7)
- BENCHMARK.md
- SKILL.md
- evals.json · evals/
- interconnect-env-vars.md · references/
- check_interconnect.py · scripts/
- skill-card.md
- skill.oms.sig
SKILL.md (first lines)
# 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.
- When agg works but disagg is slow, hangs, or returns wrong output and you
suspect the fabric rather than the model.
For diagnosing pods that are already crashing or unschedulable, use
`dynamo-troubleshoot` first.
## Instructions
### 1. Check Transport Env Vars On The Recipe
```bash
python3 scripts/check_interconnect.py env recipes/<model>/<framework>/<mode>
```
Reports which NIXL/UCX/NCCL transport variables are set and flags
disagg-critical ones (e.g. `UCX_TLS`, `UCX_NET_DEVICES`, `NCCL_IB_HCA`) that are
absent. Missing here is only a warning — they may be baked into the image — so
confirm with the node and NIXL checks. See
`references/interconnect-env-vars.md` for what each variable does.
### 2. Check Node Capabilities
Locally on a GPU node, or inside a running worker pod:
```bash
python3 scripts/check_interconnect.py node \
--namespace "${NAMESPACE}" --pod <worker-pod>
```
Probes (read-only) for: InfiniBand devices and Active links, GPUDirect RDMA
(`nvidia_peermem`), GDRCopy, and NVLink in the GPU topology. Missing tools are
reported as `skipped`, not failures.
### 3. Validate NIXL Reachability
```bash
python3 scripts/check_interconnect.py nixl \
--namespace "${NAMESPACE}" --pod <worker-pod>
```
Looks for NIXL test tooling in the pod and surfaces the exact next step to run a
pairwise prefill↔decode transfer test. A full cross-pod transfer test requires
two scheduled GPU pods on the fabric.
## Available Scripts
| Script | Purpose | Arguments |
|---|---|---|
| `scripts/check_interconnect.py env` | Inspect NIXL/UCX/NCCL env vars on a recipe | positional recipe path |
| `scripts/check_interconnect.py node` | Probe InfiniBand, GPUDirect RDMA, GDRCopy, NVLink on a node or pod | `--namespace`, `--pod` |
| `scripts/check_interconnect.py nixl` | Surface NIXL transfer-test readiness for a pod | `--namespace`, `--pod` |
Invoke via the agentskills.io `run_script()` protocol:
```python
run_script("scripts/check_interconnect.py", args=["env", "recipes/qwen3-coder-480b/sglang/disagg"])
run_script("scripts/check_interconnect.py", args=["node", "--namespace", "dynamo-demo", "--pod", "qwen-worker-0"])
```
## Examples
Verify a disagg recipe's transport env shape before deploy:
```bash
python3 scripts/check_interconnect.py env recipes/qwen3-coder-480b/sglang/disagg
```
After deploy, validate a worker pod's fabric:
```bash
python3 scripts/check_interconnect.py node \
--namespace dynamo-demo --pod qwen-worker-0
python3 scripts/check_interconnect.py nixl \
--namespace dynamo-demo --pod qwen-worker-0
```
Equivalent through the agent protocol:
```python
run_script("scripts/check_interconnect.py", args=["nixl", "--namespace", "dynamo-demo", "--pod", "qwen-worker-0"])
```
## Output Contract
Each check returns `ok` / `warn` / `fail` / `skipped` with a one-line detail,
plus a rolled-up verdict on disagg transport readiness. Report:
- transport env vars present vs. disagg-critical ones missing
- RDMA / GPUDirect / NVLink capability status
- whether NIXL reachability was validated, and the next command if notFrom NVIDIA/skills, Apache-2.0.
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Signals
- Stars
- 3,718
- Forks
- 457
- Open issues
- 8
- Last commit (this folder)
- May 29, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/NVIDIA/skills
- Website
- docs.nvidia.com/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
dynamo-interconnect-check skill. Agent Mart. https://agentmart.dev/skills/nvidia-dynamo-interconnect-check (last updated 2026-10-24)