Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLIAbout this skill
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.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 88bca3e3522c99c05af27e874cc8357e20705b4070dff932f1424f476df31ed1
About this listing
- Category
- General
- Reported license
- MIT-0
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.