vllm SKILL.md skillC

vllm from magnus919/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add magnus919/agent-skills/vllm@git:20260803.6181f17

Pins git:20260803.6181f17 in mdr.lock. Pin the fingerprint instead.

Audit grade
C, 15 of 17 checks passed
Kind
SKILL.md skill
Repository
magnus919/agent-skills
Path
vllm/SKILL.md
Versions recorded
1
Latest version
git:20260803.6181f17, committed Aug 3, 2026
Size
16,598 bytes
Repository stars
166
License
MIT

Operate, configure, benchmark, and troubleshoot vLLM inference servers: Docker and Kubernetes deployment, quantization-aware model configuration (tensor parallelism, KV cache), OpenAI-compatible API serving, throughput and latency benchmarking, continuous batching tuning, GPU operation, and upgrade/rollback. Use when deploying or running a vLLM server (vllm serve, vllm/vllm-openai), sizing a model and its KV cache for GPUs, selecting quantization and parallelism, serving via /v1 endpoints…

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

# vLLM Inference Serving

Use this skill to operate **vLLM** as a production inference server: deploy it with Docker or Kubernetes, configure the model and engine (quantization, tensor parallelism, KV cache, context length), serve the OpenAI-compatible API surface, benchmark throughput and latency with comparable evidence, tune continuous batching, operate the GPUs underneath, and upgrade or roll back safely. This is a **tool skill** for one named engine. Serving *methodology* — engine selection, quantization trade-offs, deployment plans, regression triage — belongs to [ml-engineering](../ml-engineering/SKILL.md); local single-node GGUF serving with the llama.cpp stack belongs to [llama-cpp](../llama-cpp/SKILL.md). This skill owns the day-to-day operation of vLLM itself.

## Operating contract

1. **Record the deployment before tuning it.** Capture the vLLM version or image digest, model and revision, quantization, parallelism, `max-model-len`, KV cache settings, batching limits, GPU inventory, and workload. The [serving config template](templates/serving-config.md) exists for exactly this.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add magnus919/agent-skills/vllm@sha256:a90c5f21dc2b290a

The line at the top of this page pins the label git:20260803.6181f17, 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_5fptsztqn5pzewq5.svg)](https://markdownregistry.com/a/art_5fptsztqn5pzewq5)

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

Versions

The registry has recorded 1 version of this file, committed on Aug 3, 2026.

versioncommittedcommitsizeaudit
git:20260803.6181f17 latest2026-08-03 6181f17 16,598 BC view

Audit of the latest version

C  15 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No instruction to read or print local credentials (matched: dump full server logs, `.env)
  • fail: No link to a raw IP address (matched: http://127.0.0.1:8000)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (16598 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 base64 blob over 200 characters
  • pass: No script tag

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

magnus919/agent-skills · 166 stars · license MIT · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5fptsztqn5pzewq5
GET https://markdownregistry.com/api/v1/resolve?ref=magnus919/agent-skills/vllm
GET https://markdownregistry.com/api/v1/blob/a90c5f21dc2b290a52c7172fd1021f93a11a4553551875be5f93e7457949f173

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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