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Multi-Modal Lie Detection System using an Agentic ReAct Approach: Step-by-Step Tutorial

Author: rUv
Created by: rUv, cause he could

WTF? The world's most powerful lie dector.

🤯 Zoom calls will never be the same. I think I might have just created the world’s most powerful lie detector tutorial using deep research.

Deobfuscating / Unminifying Obfuscated Web App / JavaScript Code

Some notes and tools for reverse engineering / deobfuscating / unminifying obfuscated web app code.

Beast Mode

Beast Mode is a custom chat mode for VS Code agent that adds an opinionated workflow to the agent, including use of a todo list, extensive internet research capabilities, planning, tool usage instructions and more. Designed to be used with 4.1, although it will work with any model.

Below you will find the Beast Mode prompt in various versions - starting with the most recent - 3.1

Installation Instructions

Go to the "agent" dropdown in VS Code chat sidebar and select "Configure Modes".
Select "Create new custom chat mode file"

[RAMDisk for macOS]

A minimal ZSH function to create and destroy APFS-formatted RAM disks on macOS.

Features

💾 Create APFS RAM disks up to 128 GiB

✅ Safe teardown - unmounts & detaches cleanly

👮🏼‍♂️ Input validation - enforces valid size and context

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.

General rules

Follow standard conventions.
Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
Boy scout rule. Leave the campground cleaner than you found it.
Always find root cause. Always look for the root cause of a problem.

Design rules

Try Public APIs for free

The Public APIs repository is manually curated by community members like you and folks working at APILayer. It includes an extensive list of public APIs from many domains that you can use for your own products. Consider it a treasure trove of APIs well-managed by the community over the years.

	import hashlib
	import time
	from datetime import datetime
	from tqdm import tqdm


	class Talisman:
	"""
	基于六爻算法的计算符咒生成器
	结合量子随机性原理与传统周易智慧

	# train_grpo.py
	#
	# See https://github.com/willccbb/verifiers for ongoing developments
	#
	"""
	citation:

	@misc{brown2025grpodemo,
	title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models},
	author={Brown, William},

	import axios from "axios";
	import * as cheerio from "cheerio";

	async function scrapeBingSearch(q) {
	let query = q \|\| "Hello, World!";
	const url = 'https://www.bing.com/search?q=' + encodeURIComponent(query);
	try {
	const { data: html } = await axios.get(url, {
	headers: {
	'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',

	#!/bin/bash

	curl https://mise.run \| sh
	~/.local/bin/mise --version
	# output 👉 mise 2024.x.x

	# bash install
	echo 'eval "$(~/.local/bin/mise activate bash)"' >> ~/.bashrc

	# local install (for the current .mise.toml)