legale

#!/bin/sh
#set -x

WG_CONFIG=""
INTERFACE=""
ADDRESSES=""
MTU=""
DNS=""
DNS_SEARCH=""
TABLE=""

win3zz

GitHub Search Syntax for Finding API Keys/Secrets/Tokens

As a security professional, it is important to conduct a thorough reconnaissance. With the increasing use of APIs nowadays, it has become paramount to keep access tokens and other API-related secrets secure in order to prevent leaks. However, despite technological advances, human error remains a factor, and many developers still unknowingly hardcode their API secrets into source code and commit them to public repositories. GitHub, being a widely popular platform for public code repositories, may inadvertently host such leaked secrets. To help identify these vulnerabilities, I have created a comprehensive search list using powerful search syntax that enables the search of thousands of leaked keys and secrets in a single search.

Search Syntax:

(path:*.{File_extension1} OR path:*.{File_extension-N}) AND ({Keyname1} OR {Keyname-N}) AND (({Signature/pattern1} OR {Signature/pattern-N}) AND ({PlatformTag1} OR {PlatformTag-N}))

Examples:

**1.

Klerith

// Admin Dashboard https://tailwindcomponents.com/component/dashboard-12
import { CiBellOn, CiBookmarkCheck, CiChat1, CiLogout, CiMenuBurger, CiSearch } from 'react-icons/ci';

export default function DashboardLayout({
  children
}: {
  children: React.ReactNode;
}) {
  return (
    <>

ejdyksen

patch-edid.rb

A script to fix EDID problems on external monitors in macOS.

Instructions

1. Connect only the problem display.

2. Create this directory structure (if it doesn't already exist):

hqman

Workflow Orchestration

1. Plan Node Default

• Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions)
• If something goes sideways, STOP and re-plan immediately - don't keep pushing
• Use plan mode for verification steps, not just building
• Write detailed specs upfront to reduce ambiguity

2. Subagent Strategy

• Use subagents liberally to keep main context window clean

ryanhossain9797

For Windows 10

Step 1 - Open PowerShell or Command Prompt as administrator

Step 2 - Install KMS client key

slmgr /ipk your_license_key

Replace your_license_key with following volumn license keys according to Windows Edition:

hoangitk

Powershell Collection

Install new powershell

• iex "& { $(irm https://aka.ms/install-powershell.ps1) } -UseMSI"
• wget https://aka.ms/install-powershell.sh; sudo bash install-powershell.sh; rm install-powershell.sh

Run ps1

> powershell -executionpolicy bypass -File .\RemoveApps.ps1

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.