Vlad Sazonau VladSez

name	description
capture-skill	Capture learnings, patterns, or workflows from the current conversation into a new or existing skill. Use when the user wants to save what was learned, discovered, or built during a conversation as a reusable skill for future sessions.

Capture Skill from Conversation

This skill helps you extract knowledge, patterns, and workflows from the current conversation and persist them as a reusable skill.

When to Use

hi, i'm daniel. i'm a 16-year-old high school senior. in my free time, i hack billion dollar companies and build cool stuff.

about a month ago, a couple of friends and I found serious critical vulnerabilities on Mintlify, an AI documentation platform used by some of the top companies in the world.

i found a critical cross-site scripting vulnerability that, if abused, would let an attacker to inject malicious scripts into the documentation of numerous companies and steal credentials from users with a single link open.

(go read my friends' writeups (after this one))
how to hack discord, vercel, and more with one easy trick (eva)
Redacted by Counsel: A supply chain postmortem (MDL)

Bank‑Based Anonymous Age Verification (BAV)

A zero‑storage, privacy‑preserving age check that leverages banks’ existing KYC — with the user as the transport layer.

TL;DR

Banks sign an age claim, not an identity. They never learn which site you’re visiting.
Merchants verify a short‑lived token against their own nonce and a one‑time WebAuthn key. No database required.

What you NEED to Know Before Touching a Video File

Hanging out in subtitling and video re-editing communities, I see my fair share of novice video editors and video encoders, and see plenty of them make the classic beginner mistakes when it comes to working with videos. A man can only read "Use Handbrake to convert your mkv to an mp4 :)" so many times before losing it, so I am writing this article to channel the resulting psychic damage into something productive.

If you are new to working with videos (or, let's face it, even if you aren't), please read through this guide to avoid making mistakes that can cost you lots of time, computing power, storage space, or video quality.

	"""
	The most atomic way to train and inference a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp

	"workbench.editor.customLabels.enabled": false,
	"workbench.editor.customLabels.patterns": {
	"*/page.": "${dirname}.${extname}",
	"*/layout.": "${dirname}/layout.${extname}",
	"*/default.": "${dirname}/default.${extname}",
	"*/error.": "${dirname}/error.${extname}",
	"*/forbidden.": "${dirname}/forbidden.${extname}",
	"*/instrumentation.": "${dirname}/instrumentation.${extname}",
	"*/instrumentation-client.": "${dirname}/instrumentation-client.${extname}",
	"*/loading.": "${dirname}/loading.${extname}",

	import os
	import json
	import subprocess
	from anthropic import Anthropic

	# Tool definitions
	TOOLS = [
	{
	"name": "list_files",
	"description": "List files and directories at a given path",

	import { Sandbox } from "@vercel/sandbox";
	import z from 'zod';
	import { chromium } from 'playwright'

	export async function retryWithBackoff<T>(fn: () => Promise<T>, retries = 3) {
	let delay = 1000;
	for (let i = 0; i < retries; i++) {
	try {
	return await fn();
	} catch {

	<div style="position:absolute;top:-999px;left:-999px">
	<svg
	id="effectSvg"
	width="200"
	height="200"
	viewBox="0 0 200 200"
	xmlns="http://www.w3.org/2000/svg">


	<filter id="displacementFilter4">

	"use client";

	import { useRouter } from "next/navigation";
	import type { ReactNode } from "react";
	import { useCallback, useEffect, useState } from "react";

	interface ProximityPrefetchProps {
	children: ReactNode;
	threshold?: number;
	predictionInterval?: number;