Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/dsouza-anush/browser-use-herokuWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/dsouza-anush/browser-use-heroku/browser-use-rules)<a href="https://agentmods.dev/rules/dsouza-anush/browser-use-heroku/browser-use-rules"><img src="https://agentmods.dev/badge/rules/dsouza-anush/browser-use-heroku/browser-use-rules/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/dsouza-anush/browser-use-heroku/browser-use-rules"><img src="https://agentmods.dev/badge/rules/dsouza-anush/browser-use-heroku/browser-use-rules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00662 | $0.00662 |
| Opus 5.5 | $0.00265 | $0.00265 |
| Sonnet 5.5 | $0.00132 | $0.00132 |
| Haiku 4.5 | $0.00066 | $0.00066 |
Grade A, and why
browser-use-rules scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🧠 General Guidelines for Contributing to browser-use
Browser-Use is an AI agent that autonomously interacts with the web. It takes a user-defined task, navigates web pages using Chromium via Playwright, processes HTML, and repeatedly queries a language model (like gpt-4o) to decide the next action—until the task is completed.
🗂️ File Documentation
When you create a new file:
-
For humans: At the top of the file, include a docstring in natural language explaining:
- What this file does.
- How it fits into the browser-use system.
- If it introduces a new abstraction or replaces an old one.
-
For LLMs/AI: Include structured metadata using standardized comments such as:
# @file purpose: Defines <purpose>
🧰 Development Rules
- ✅ Always use
uvinstead ofpipFor deterministic and fast dependency installs.
uv venv --python 3.11
source .venv/bin/activate
uv sync
-
✅ Use real model names Do not replace
gpt-4owithgpt-4. The modelgpt-4ois a distinct release and supported. -
✅ Type-safe coding Use Pydantic v2 models for all internal action schemas, task inputs/outputs, and controller I/O. This ensures robust validation and LLM-call integrity.
-
✅ Pre-commit formatting ALWAYS make sure to run pre-commit before making PRs.
⚙️ Adding New Actions
To add a new action that your browser agent can execute:
from playwright.async_api import Page
from browser_use.core.controller import Controller, ActionResult
controller = Controller()
@controller.registry.action("Search the web for a specific query")
async def search_web(query: str, page: Page):
# Implement your logic here, e.g., query a search engine and return results
result = ...
return ActionResult(extracted_content=result, include_in_memory=True)
Notes:
- Use descriptive names and docstrings for each action.
- Prefer returning
ActionResultwith structured content to help the agent reason better.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 91 lines · 662 tokens per session scan A 2f754f2606a7
browser-use-rules is a cursor rule published in the GitHub repository dsouza-anush/browser-use-heroku (1 stars, last pushed 1y ago), licensed MIT. It adds 662 tokens to every session, about $0.0026 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other cursor rules, from other repositories
vasu-playwright-utils
../../templates/cursor-rules/vasu-playwright-utils.mdc.
chrome-extension-manifest-rules
Specific rules related to the Chrome extension manifest file, ensuring proper structure and content.
vla-registry
Multi-model GUI/VL registry — browser wllama grounding (ShowUI-2B is default + E2E gate).
safari
This file, safari.mdc, serves as a repository for detailed working notes, observations, and learnings acquired during the process of automating Safari interactions, particularly for the MCP Inspector UI. It's intended to capture the nuances of trial-and-error, debugging steps, and insights into what worked, what…
scrapy
Cursor rule "scrapy" from Solihatun1/AI-Cursor-Scraping-Assistant, covering scrapy best practices, 1. code organization and structure, 1.1. directory structure, 1.2. file naming conventions and 1.3. module organization.
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.