| #!/usr/bin/env bash | |
| # | |
| # install-node.sh | |
| # Installs the latest Node.js Active LTS release (official arm64 build) | |
| # for 64-bit Raspberry Pi OS / Debian aarch64 (e.g. Raspberry Pi 5, Pi 4 64-bit, Pi 400, etc). | |
| # | |
| # Originally based on a script by Steven de Salas, itself based on | |
| # Richard Stanley's Node-MongoDb-Pi script for the armv6l Pi Zero. | |
| # Rewritten for 64-bit Pi hardware using official nodejs.org arm64 builds | |
| # (the unofficial-builds armv6l tarball is no longer needed on 64-bit Pis). |
| #!/bin/bash | |
| # Uptime | |
| upSeconds=$(cut -d. -f1 /proc/uptime) | |
| days=$((upSeconds / 86400)) | |
| hours=$((upSeconds / 3600 % 24)) | |
| mins=$((upSeconds / 60 % 60)) | |
| secs=$((upSeconds % 60)) | |
| UPTIME=$(printf "%d days, %02dh%02dm%02ds" "$days" "$hours" "$mins" "$secs") |
macOS ships grep, find, and cat — decades-old, POSIX-correct, and worse choices than the modern replacements once an LLM is the one calling them. Three reasons that's true, not just aesthetic preference:
- Context economy. ripgrep and fd skip
.git,node_modules, and build output by default and print compactfile:line:matchresults.grep -r/findwithout carefully hand-tuned exclusions dump everything, and every irrelevant line an agent reads is context it paid for and now has to reason past. - Fewer wasted round trips. Models are trained on a decade of GitHub, Stack Overflow, and blog content where these newer tools are increasingly the default. They emit corr
| const DEV = import.meta.env.DEV; | |
| export const bark = { | |
| error: (...args: unknown[]) => { | |
| if (DEV) { | |
| console.error("[Bark]", ...args); | |
| } | |
| }, | |
| warn: (...args: unknown[]) => { | |
| if (DEV) { |
| #!/usr/bin/env python3 | |
| """OpenCode Dashboard — value-first token & usage intelligence.""" | |
| import json | |
| import sqlite3 | |
| import sys | |
| import unicodedata | |
| from pathlib import Path | |
| from datetime import datetime, timezone |
Lakera AI's Gandalf is a public, educational prompt-injection game. Each level hides a secret password. Your goal: make Gandalf reveal it. After each success, Gandalf upgrades its defenses. This document records working extraction techniques for levels 1–8, the defense each technique defeats, and the underlying injection class it belongs to.
Purpose & scope. A defensive/educational knowledge base cataloguing known prompt-injection and jailbreak patterns, the models/systems they have affected, and the defenses against them. Compiled from primary literature (arXiv papers, vendor disclosures) and security research, June 2026.
How to read this. Every technique lists: how it works, an illustrative structural skeleton (the shape of the attack, not a weaponized payload), the models/systems it was reported against, and its current status. Examples are deliberately defanged. >
| class FirstResponderLogger { | |
| private static var isRunning : Bool = false | |
| static func log(){ | |
| if (!FirstResponderLogger.isRunning) { | |
| FirstResponderLogger.isRunning = true | |
| Task { | |
| while true { |