vllm-sota-humanize-loop

vllm-sota-humanize-loop is a skill for Claude Code from BBuf/AI-Infra-Auto-Driven-SKILLS. It costs 115 tokens per session (4,707 once invoked), scanned A, original, no licence file.

An automated performance-improvement workflow for one large language model running with vLLM. SOTA means aiming for performance close to the best available result, while the workflow compares frameworks, profiles bottlenecks, analyzes code, and applies vLLM changes.

In plain words
What is it for?
Use it to benchmark vLLM against SGLang and TensorRT-LLM, identify bottlenecks, analyze layers and kernels, and patch vLLM code as part of the performance loop.
Why use it?
It provides a repeated process for finding performance gaps and investigating the code or computation responsible for them.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ai-infra-auto-driven-skills plugin — 12 skills shipped together

Good fit Use it to benchmark vLLM against SGLang and TensorRT-LLM, identify bottlenecks, analyze layers and kernels, and patch vLLM code as part of the performance loop.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bbuf/ai-infra-auto-driven-skills/vllm-sota-humanize-loop
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 BBuf/AI-Infra-Auto-Driven-SKILLS --skill vllm-sota-humanize-loop
Clone the repo
git clone --depth 1 https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS

Made for: Claude Code.

Or install ai-infra-auto-driven-skills, the plugin that ships this one along with the rest of its 12 skills.

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 vllm-sota-humanize-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/bbuf/ai-infra-auto-driven-skills/vllm-sota-humanize-loop/github.svg)](https://agentmods.dev/skills/bbuf/ai-infra-auto-driven-skills/vllm-sota-humanize-loop)
Your own site
<a href="https://agentmods.dev/skills/bbuf/ai-infra-auto-driven-skills/vllm-sota-humanize-loop"><img src="https://agentmods.dev/badge/skills/bbuf/ai-infra-auto-driven-skills/vllm-sota-humanize-loop/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 vllm-sota-humanize-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/bbuf/ai-infra-auto-driven-skills/vllm-sota-humanize-loop"><img src="https://agentmods.dev/badge/skills/bbuf/ai-infra-auto-driven-skills/vllm-sota-humanize-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,707 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00115 $0.04707
Opus 5 $0.00057 $0.02354
Sonnet 5 $0.00023 $0.00941
Haiku 4.5 $0.00012 $0.00471

Measured 11d ago against content hash a13ef9214439, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

vllm-sota-humanize-loop scanned grade A with 0 findings 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 11d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/vllm-sota-humanize-loop/SKILL.md · 460 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

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 460 lines · 115 tokens per session scan A a13ef9214439

Subscribe to this mod's changes

vllm-sota-humanize-loop is a skill published in the GitHub repository BBuf/AI-Infra-Auto-Driven-SKILLS (811 stars, last pushed 18d ago), with no licence file. It adds 115 tokens to every session and 4,707 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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