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benchmark-models

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Cross-model AI benchmark for gstack skills.

Data & Analytics#models#quality#comparison#latency#benchmark#cross-model#cost
Authorsteadyfall
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Cross-model benchmarking across AI providers to objectively compare performance on the same prompt, helping you choose the best model for your gstack workflows without manual reruns.

Core Features & Use Cases

  • Cross-model benchmarking: run the same prompt across Claude, GPT, and Gemini to compare latency, token usage, and cost.
  • Quality judging: optionally include an external quality judge to assess output quality.
  • Guided workflow: step-by-step prompts to pick a prompt, verify authentication, and run the benchmark; saves results for future comparisons.
  • Use cases: quickly evaluate which model best suits your needs for a given task, or compare model updates over time.

Quick Start

Run the benchmark by selecting a prompt source, choosing authed providers, and reviewing the results.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: benchmark-models
Download link: https://github.com/steadyfall/fspeek/archive/main.zip#benchmark-models

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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