Claude Skill

Benchmark browser agents on repeatable Playwright web tasks with Bananalyzer

Run a repeatable evaluation suite for browser agents against static web task snapshots instead of judging them from demos or one-off tests.

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Part of agentskillexchange/skills — 249 skills

Install

skills CLI npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/benchmark-browser-agents-on-repeatable-playwright-web-tasks-with-bananalyzer
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart
Git git clone https://github.com/agentskillexchange/skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Benchmark browser agents on repeatable Playwright web tasks with Bananalyzer

Run a repeatable evaluation suite for browser agents against static web task snapshots instead of judging them from demos or one-off tests.

Prerequisites

Python environment, Playwright browser runtime, pytest-based test execution, a custom AgentRunner implementation, example web task snapshots

Installation

Requirements and caveats from upstream:

  • Python
  • individual website. For an agent to best generalize, we require building a diverse dataset of websites across
  • In the future we will support more complex evaluation methods and examples that require multiple steps to complete. The

Basic usage or getting-started notes:

Documentation

Source

Files (skills)
  • SKILL.md 2.1 KB
    ---
    name: "Benchmark browser agents on repeatable Playwright web tasks with Bananalyzer"
    slug: "benchmark-browser-agents-on-repeatable-playwright-web-tasks-with-bananalyzer"
    description: "Run a repeatable evaluation suite for browser agents against static web task snapshots instead of judging them from demos or one-off tests."
    github_stars: 327
    verification: "security_reviewed"
    source: "https://github.com/reworkd/bananalyzer"
    author: "Reworkd"
    publisher_type: "organization"
    category: "Browser Automation"
    framework: "Multi-Framework"
    tool_ecosystem:
      github_repo: "reworkd/bananalyzer"
      github_stars: 327
    ---
    
    # Benchmark browser agents on repeatable Playwright web tasks with Bananalyzer
    
    Run a repeatable evaluation suite for browser agents against static web task snapshots instead of judging them from demos or one-off tests.
    
    ## Prerequisites
    
    Python environment, Playwright browser runtime, pytest-based test execution, a custom AgentRunner implementation, example web task snapshots
    
    ## Installation
    
    Requirements and caveats from upstream:
    - <img alt="Python" src="https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54" />
    - individual website. For an agent to best generalize, we require building a diverse dataset of websites across
    - In the future we will support more complex evaluation methods and examples that require multiple steps to complete. The
    
    Basic usage or getting-started notes:
    - Banana-lyzer is a CLI tool that runs a set of evaluations against a set of example websites.
    - The CLI tool will sequentially run examples against a user defined agent by dynamically constructing a pytest test suite
    - AgentRunner exposes the example, and a playwright browser context to use.
    
    - Source: https://github.com/reworkd/bananalyzer
    - Extracted from upstream docs: https://raw.githubusercontent.com/reworkd/bananalyzer/HEAD/README.md
    
    ## Documentation
    
    - https://github.com/reworkd/bananalyzer
    
    ## Source
    
    - [Agent Skill Exchange](https://agentskillexchange.com/skills/benchmark-browser-agents-on-repeatable-playwright-web-tasks-with-bananalyzer/)
    

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