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serving-llms-vllm

serving-llms-vllm is a skill for Claude Code, Codex from danielw-sudo/skill-quiver. It costs 27 tokens per session (2,515 once invoked), scanned A, original, no licence file.

A guide to deploying language models as production APIs with vLLM, including OpenAI-compatible endpoints and methods for reducing hardware use.

In plain words
What is it for?
Use it to run LLM APIs, apply GPTQ, AWQ, or FP8 quantization, and split model work across multiple GPUs with tensor parallelism.
Why use it?
It helps serve models with lower response delay, higher request capacity, or limited GPU memory.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 2repo 4mo ago A scan 27 tokens no licence

Good fit Use it to run LLM APIs, apply GPTQ, AWQ, or FP8 quantization, and split model work across multiple GPUs with tensor parallelism.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielw-sudo/skill-quiver/vllm
View source ↗ danielw-sudo/skill-quiver
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add danielw-sudo/skill-quiver --skill vllm
Clone the repo
git clone --depth 1 https://github.com/danielw-sudo/skill-quiver

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for serving-llms-vllm

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielw-sudo/skill-quiver/vllm/github.svg)](https://agentmods.dev/skills/danielw-sudo/skill-quiver/vllm)
Your own site
<a href="https://agentmods.dev/skills/danielw-sudo/skill-quiver/vllm"><img src="https://agentmods.dev/badge/skills/danielw-sudo/skill-quiver/vllm/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for serving-llms-vllm

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielw-sudo/skill-quiver/vllm"><img src="https://agentmods.dev/badge/skills/danielw-sudo/skill-quiver/vllm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,515 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.02515
Opus 5.5 $0.00011 $0.01006
Sonnet 5.5 $0.00005 $0.00503
Haiku 4.5 $0.00003 $0.00251

Measured 2mo ago against content hash ab72192b7aee, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

serving-llms-vllm scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl http://localhost:9090/metrics | grep vllm
mlops/vllm/SKILL.md · 373 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 373 lines · 27 tokens per session scan A ab72192b7aee

Subscribe to this mod's changes

serving-llms-vllm is a skill published in the GitHub repository danielw-sudo/skill-quiver (2 stars, last pushed 4mo ago), with no licence file. It adds 27 tokens to every session and 2,515 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Backend and APIsCloudDevOps and cloud
Related

serving-llms-vllm compared with skills from other repositories

serving-llms-vllm next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
serving-llms-vllmdanielw-sudo/skill-quiverSkill24mo agononeA27Claude Code, Codex
stripe-projectsNousResearch/hermes-agentSkill262ktodayMITA15Claude Code, Codex
alchemy-providerpingdotgg/t3codeSkill52ktodayMITA153Claude Code, Codex
django-storages-s3Jeffallan/claude-skillsSkill12k8d agoMITA138Claude Code
websocket-engineerJeffallan/claude-skillsSkill12k8d agoMITA36Claude Code
azure-eventhub-dotnetmicrosoft/skillsSkill3.2kyesterdayMITA94Claude Code
azure-mgmt-botservice-dotnetmicrosoft/skillsSkill3.2kyesterdayMITA78Claude Code