ai-agent

llm_benchmark: Gauge LLM Performance to Sharpen Your AI Products

Name: llm_benchmark: Gauge LLM Performance to Sharpen Your AI Products
Author: llm2014

Measure and compare large‑language‑model outputs quickly, helping AI‑focused founders make data‑driven decisions. Backed by 1.7k+ GitHub stars.

From the repo · “No description available”

1,726 stars+33★ this week25 forksGuide quality 9/10 · reviewed Oct 10Updated 10/22/2026100% free · open source

What it does

llm_benchmark measures the performance of AI models, providing founders with actionable insights to inform their decisions.

When to use it

•When evaluating the accuracy of different AI models for a startup's application
•To compare the performance of various AI models on a specific dataset
•Before deploying an AI model to production, to ensure it meets performance requirements

Ready-to-paste prompt

python scripts/run_benchmark.py --model_name bert-base-uncased --dataset_name sst-2

Heads up: The repository uses Python 3.8 or later, and some models may require specific dependencies or GPU acceleration, so ensure your environment meets these requirements before running the benchmark

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/llm-benchmark && curl -fsSL https://workflowstacks.com/api/skills/llm-benchmark/claude-skill -o ~/.claude/skills/llm-benchmark/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How llm_benchmark: Gauge LLM Performance to Sharpen Your AI Products works

Codeflow

Free to inspect

Llm_benchmark: Gauge LLM Performance to Sharpen Your AI Products is a medium project (~4.1k lines across 4 code files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit this month, no license file, no tests found.

Size

Medium codebase

~4.1k lines · 4 code files · 35 min skim

Setup

Some technical setup

Comfortable with a terminal? 20–40 min. Otherwise ask a dev.

Runs on

See README

No API keys detected

Where to start reading

1
README.md
Start here — what it does and how to install it

What's in each folder

docs/Documentation121 files

logic/Folder19 files

code/Folder5 files

vision/Folder4 files

code_v2/Folder1 files

READMENo tests foundDocumentedNo CINo licenseUpdated this month