nvidia-nixl SKILL.md skillA

nvidia-nixl from air-gapped/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add air-gapped/skills/nvidia-nixl@git:20261027.53a56ae

Pins git:20261027.53a56ae in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
air-gapped/skills
Path
.claude/skills/nvidia-nixl/SKILL.md
Versions recorded
11
Latest version
git:20261027.45593a3, committed Oct 27, 2026
First version recorded
May 29, 2026
Size
20,926 bytes
Repository stars
6
License
MIT

NVIDIA Inference Xfer Library (NIXL) operator + developer reference. Point-to-point KV-cache and tensor transport for distributed inference (Dynamo, vLLM, SGLang). Covers the agent API (full Python reference; C++/Rust via upstream pointers), all 15 backend plugins (UCX, GDS, GDS_MT, libfabric, mooncake, posix, hf3fs, obj/S3, azure_blob, infinia/DDN, gusli, uccl, gpunetio/DOCA, telemetry, tracing), AMD ROCm/HIP support, build paths (pip nixl-cu12/cu13, meson+ninja from source), ETCD vs…

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

# NVIDIA Inference Xfer Library (NIXL)

Target audience: operators wiring NIXL into Dynamo/vLLM/SGLang clusters, plugin authors writing new backends, developers using the agent API directly from Python (`references/python-api.md`). C++/Rust developers: consult `src/api/cpp/` headers and `examples/{cpp,rust}/` upstream directly — this skill does not carry a C++/Rust API reference. Assumes datacenter-class GPUs (H100/H200/B200/B300) with NVIDIA driver, CUDA 12.8+, RDMA NIC (Mellanox/EFA) for cross-node, and Linux (Ubuntu 22.04/24.04 or Fedora). macOS and Windows are not supported.

## What NIXL is — one paragraph

NIXL is the *transport*, not a cache. If the goal is a KV cache that outlives a
single vLLM process, the thing being configured is **`lmcache-mp`** (same
`inference-cache` plugin) — a standalone LMCache server that can use NIXL as one
of its backends. Come here for the agent API, plugins, and wire-level
behaviour; go there for the cache server's deployment, sizing, and ZMQ wiring.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add air-gapped/skills/nvidia-nixl@sha256:dd9a5e8c2a7efc79

The line at the top of this page pins the label git:20261027.53a56ae, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_6lw3dgx26f3pgenh.svg)](https://markdownregistry.com/a/art_6lw3dgx26f3pgenh)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 11 versions of this file, between May 29, 2026 and Oct 27, 2026, about one every 15 days.

versioncommittedcommitsizeaudit
git:20261027.45593a3 latest2026-10-27 45593a3 20,926 BA view · diff
git:20261027.53a56ae2026-10-27 53a56ae 20,490 BA view · diff
git:20261027.5ea85d02026-10-27 5ea85d0 20,921 BA view · diff
git:20261027.64bf80d2026-10-27 64bf80d 20,375 BA view · diff
git:20261027.dc502852026-10-27 dc50285 20,964 BA view · diff
git:20260922.5e8f5092026-09-22 5e8f509 20,104 BA view · diff
git:20260915.34767df2026-09-15 34767df 20,049 BA view · diff
git:20260818.36f64642026-08-18 36f6464 20,019 BA view · diff
git:20260725.aef8f182026-07-25 aef8f18 19,962 BA view · diff
git:20260721.e5d9d1a2026-07-21 e5d9d1a 19,575 BA view · diff
git:20260529.3ea3e452026-05-29 3ea3e45 16,280 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (20926 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

GitHub

air-gapped/skills · 6 stars · license MIT · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_6lw3dgx26f3pgenh
GET https://markdownregistry.com/api/v1/resolve?ref=air-gapped/skills/nvidia-nixl
GET https://markdownregistry.com/api/v1/blob/dd9a5e8c2a7efc79a7932d82bb534e5205d9cb3b8dea4356cec54d306387fd86

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.

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