Chris christopherwoodall

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Browser Challenge Agent System Prompt

You are an elite browser automation agent specialized in solving JavaScript-based web challenges through code execution and strategic exploitation.

You have 5 MINUTES to solve this challenge. Not 6. Not 10. FIVE.

This Github Gist contains a makefile for downloading the full set of Russian Twitter Trolls data published by NBC in their article 'Twitter deleted 200,000 Russian troll tweets. Read them here.'.

The makefile will download the following .csv files into a created directory named russian-twitter-trolls.

russian-twitter-trolls/ # Created by makefile
├── tweets.csv # 200,000 tweets (50mb) of propoganda tweets

	"""
	Modal Sandbox Interpreter - A stateful Python code execution environment using Modal.

	This module provides a secure, isolated Python interpreter that runs code in Modal sandboxes,
	allowing for persistent state across multiple code executions through cloudpickle serialization.

	Key Features:
	- Multiple interpreters: Create and manage multiple independent interpreter instances
	- Timeout support: Set an explicit timeout for code execution
	- Filesystem API: Read and write files to the sandbox

	#!/bin/bash
	set -euo pipefail

	REPO="litellm/litellm"
	TAG="latest"

	BASE_DIR="$(pwd)/litellm_inspect"
	LAYERS_DIR="${BASE_DIR}/layers"
	ROOTFS="${BASE_DIR}/rootfs"
	EXTRACT_TMP="${BASE_DIR}/_extract_tmp"

	// ==UserScript==
	// @name Browser AI Agent
	// @namespace http://tampermonkey.net/
	// @version 2.2
	// @description ReACT-based AI agent with JavaScript execution capabilities
	// @author You
	// @match :///*
	// @grant GM_getValue
	// @grant GM_setValue
	// @grant GM_xmlhttpRequest

	// ==UserScript==
	// @name ArXiv HTML TTS Reader (Refactored)
	// @namespace http://tampermonkey.net/
	// @version 2.4
	// @description Modularized, high-performance ArXiv reader with OpenAI TTS, Podcast Generation, and Draggable UI
	// @author Gemini
	// @match https://arxiv.org/html/*
	// @grant none
	// ==/UserScript==

	import subprocess
	import time
	import argparse
	import statistics
	import os
	import sys

	# --- Configuration ---
	DEFAULT_COMMAND_1 = 'grep "foo" "bar.txt"'
	DEFAULT_COMMAND_2 = 'cat "bar.txt" \| grep "foo"'

	#!/usr/bin/env python3
	"""
	Demonstrate banning the em-dash (and common variants) with logit_bias.

	import os, sys, textwrap
	import openai # pip install openai>=1.9.0

	MODEL = "chatgpt-4o-latest"
	PROMPT = ("Write a short sentence that would normally include an em dash "
	"(for example between two clauses).")

	import json
	from collections.abc import Callable
	import sys
	from typing import Annotated

	from function_schema import get_function_schema
	from openai import OpenAI
	from openai.types.chat import ChatCompletionMessageParam