GitTaskBench

🥈Silver

GitTaskBench is a benchmark for evaluating code agents on real-world tasks. It measures performance from repo understanding to task delivery, with a cost-aware metric. Benefits operations teams by improving agent efficiency in development and bug-fixing workflows. Integrates with Python-based code agents like Claude.

248180Updated Today

Intermediate30min to implementautomation

Saves ~300 min per use

Quick InstallView Source

git clone https://github.com/QuantaAlpha/GitTaskBench.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/QuantaAlpha/GitTaskBench

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Benchmark the performance of a Code Agent on the [REPOSITORY_NAME] repository. The agent should perform the following tasks: 1) Understand the repository structure and documentation, 2) Set up the development environment, 3) Identify and fix a bug or implement a new feature, and 4) Deliver the task with a cost-aware α metric. Provide a detailed report on the agent's performance.

Example Output

# Repository Benchmark Report

## Repository: ExampleWebApp

### Task 1: Repository Understanding
- **Documentation Review**: The agent successfully reviewed the README.md and identified the key technologies used: React, Node.js, and MongoDB.
- **Structure Analysis**: The agent mapped out the repository structure, noting the presence of a frontend, backend, and database layer.

### Task 2: Environment Setup
- **Dependency Installation**: The agent installed all necessary dependencies using npm and yarn.
- **Database Configuration**: The agent set up the MongoDB database and configured the environment variables.

### Task 3: Bug Fixing
- **Bug Identification**: The agent identified a bug in the user authentication flow.
- **Bug Fix**: The agent implemented a fix by updating the authentication middleware.

### Task 4: Task Delivery
- **Cost-Aware α Metric**: The agent delivered the task with an α metric of 0.85, indicating efficient use of resources.
- **Final Report**: The agent provided a detailed report on the tasks performed and the outcomes achieved.