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Bench Open Model

Category: General  ·  Sub-category: general-misc  ·  Last updated:
cloud:awsai:llm
Benchmark any open-weight vLLM-servable Hugging Face model on AWS GPU hardware. Sizes the model's VRAM needs, picks the right EC2 GPU instance type and region, provisions it, serves the model on vLLM, runs a cache-honest concurrency sweep, writes a report, and tears everything down. Use when asked to benchmark / test / evaluate the throughput, latency, or serving capacity of an open-weight model on AWS, pick a GPU instance type for a model, size VRAM for a model, or measure tokens-per-second or requests-per-day. Covers text LLMs and multimodal / vision / OCR models.
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From the source SKILL.md

Takes a Hugging Face model ID and produces a defensible throughput number on real GPU hardware, then cleans up. Works for any model vLLM can serve - text LLMs, MoE models, and multimodal (vision / document) models. The sizing and provisioning path is common to all; only the load-generation step branches on modality.

What this skill does

Bench Open Model is a community-contributed Claude Code skill in the general-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/bench-open-model/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when asked to benchmark / test / evaluate the throughput, latency, or serving capacity of an open-weight model on AWS, pick a GPU instance type for a model, size VRAM for a model, or measure tokens-per-second or requests-per-day. Covers text LLMs and multimodal / vision / OCR models.

Who uses this skill

The Bench Open Model Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 206,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/bench-open-model
curl -L https://claudskills.com/skills/bench-open-model/SKILL.md \
  -o ~/.claude/skills/bench-open-model/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/bench-open-model/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/bench-open-model/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\bench-open-model\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

See pricing → Download desktop app

Frequently asked questions

How do I install the Bench Open Model Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/bench-open-model/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Bench Open Model skill do?
Benchmark any open-weight vLLM-servable Hugging Face model on AWS GPU hardware. Sizes the model's VRAM needs, picks the right EC2 GPU instance type and region, provisions it, serves the model on vLLM, runs a cache-honest concurrency sweep, writes a report, and tears everything down. Use when asked to benchmark / test / evaluate the throughput, latency, or serving capacity of an open-weight model on AWS, pick a GPU instance type for a model, size VRAM for a model, or measure tokens-per-second or requests-per-day. Covers text LLMs and multimodal / vision / OCR models.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Bench Open Model skill?
Use Bench Open Model when your Claude Code task falls under the General category — specifically in the general misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Bench Open Model" or describe the task and let Claude pick). Browse related skills at /category/general/.
What is a Claude Code skill and how does the Bench Open Model skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Bench Open Model is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
aws-samples. (2026). Bench Open Model [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/bench-open-model/
BibTeX
@misc{bench-open-model-2026,
  author    = {aws-samples},
  title     = {Bench Open Model [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/bench-open-model/}
}

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Security scan

Grade A · scanned 2026-10-11 — free static scan against the OWASP Agentic Skills Top 10.

The scan flagged 1 of 10 categories (network), including lower-severity patterns. Patterns shown inside code fences are weighted as examples rather than instructions — read the grading methodology for what this does and does not guarantee.

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