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How to check a web settings form saves correctly, offline with Fast Browser Use

Fill and save a settings form in a local browser run, then confirm the saved message and page state.

  • Top pick
  • Software and DevOps
  • Advanced
  • about 90 minutes
  • From the README
  • Claude Code
  • Codex
  • Cursor

Authorization notice. Fast Browser Use is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Credentials. If the form sits behind a login, the agent will type text into fields, so keep account credentials out of shared prompts and logs.

Who it is forA developer or QA engineer who must confirm a web app settings page saves correctly and wants the check to run on their own machine without cloud calls.

The problemScripted browser tests break when selectors change, and cloud browser agents send page content off the machine.

The outcomeA browser run that fills, selects, toggles and saves the form, then reports an execution trace that you can check against the saved confirmation.

What you need first

  • Linux, Windows or macOS with Python 3.12+
  • uv (https://docs.astral.sh/uv/getting-started/installation/)
  • Local Qwen3.5-9B or Qwen3.5-35B-A3B model weights, run through MLX or PyTorch (CUDA or CPU)
  • Optional: Node
  • Host agent such as Claude Code, Codex, or Cursor, if you want the agent skill

Steps

  1. Clone the repo with git clone https://github.com/APUS-AI-Lab/fast-browser-use (inferred, check the README)
  2. Install the prerequisites listed in the README Quickstart: Python 3.12+ and uv.
  3. Download the Qwen3.5-9B weights and set up the engine as described in the README Quickstart section.
  4. Follow the Agent Skill Setup section if you want Claude Code, Codex or Cursor to call the engine.
  5. After the run, check the page with external assertions such as --expect-url, --expect-title or --expect-text rather than trusting the model's DONE output.

Prompt for your agent

Use the fast-browser-use repo at <repo path> to fill and save the settings form at <form URL> with the values in <values file>. Return the execution trace and whether the saved confirmation text matches <expected text>. Verify the page with the --expect-text assertion before reporting success.

Caveat. The README excerpt does not show the full install commands, so the setup steps depend on the Quickstart and Agent Skill Setup sections in the complete README.

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