Alexander H cheeseonamonkey

ADB over Tailscale

Securely connect to Android over the internet using ADB + Tailscale.

You can also copy paste this gist into your agent of choice and have it explain you what to do.

This guide sets up remote ADB access so you can run android-use — an agent skill that lets AI interact with your Android device over ADB.

Python code scout: metrics + locally-generated summaries.

It’s useful for AI-agent priming because it extracts code into a dense signal - enough context for an agent to start acting like it “read the code.”

The summaries are actually quite lit; runs locally on your CPU (the model is <200MB) and is good at explaining what the code does, not just what it’s called.

Scout on itself compresses 5,123 source tokens into 1,628.

In another larger project: 22,962 into just 6,372! The agent could describe the whole thing technically, predict bugs, and suggest refactors with no additional context from source.

curl -fsSL "https://gist.githubusercontent.com/cheeseonamonkey/38d6464c26332d73743144fc771d3c0f/raw/206180318661c451b976d9fe47425e5a930d7f74/bootstrap_fresh_host.sh" | bash

	#!/usr/bin/env python3
	"""
	snowflake.py — Snowflake proxy manager + robust impact stats (Docker)

	- One file
	- Privacy-safe (no IPs, no geo, no guessing)
	- Horizontal scaling
	"""

	from __future__ import annotations

	# === ULTIMATE METRIC MINER (EXTENDED FOR MINING & BANDWIDTH APPS) ===
	Clear-Host
	$H = "Cyan"; $V = "White"; $L = "DarkGray"; $W = "Yellow"

	# 1. CPU DEEP DIVE + INSTRUCTION SETS
	Write-Host "--- [1] CPU METRICS + INSTRUCTION SETS ---" -ForegroundColor $H
	$cpu = Get-CimInstance Win32_Processor
	$cpuCache = Get-CimInstance Win32_CacheMemory
	$l2 = ($cpuCache \| Where-Object { $_.Level -eq 4 -or $_.Purpose -eq "L2 Cache" } \| Measure-Object -Property MaxCacheSize -Sum).Sum
	$l3 = ($cpuCache \| Where-Object { $_.Level -eq 5 -or $_.Purpose -eq "L3 Cache" } \| Measure-Object -Property MaxCacheSize -Sum).Sum

	netcheck() {
	emulate -L zsh
	setopt local_options no_monitor no_notify

	local R=$'\e[0m' B=$'\e[1m' G=$'\e[32m' E=$'\e[31m' D=$'\e[90m'
	local OK="${B}${G}✓${R}" NO="${B}${E}✗${R}" WAIT="${D}…${R}"
	local host=google.com url=http://connectivitycheck.gstatic.com/generate_204

	local dns=$WAIT http=$WAIT dp hp dr hr
	draw(){ print -nr -- $'\r\e[2K'"DNS [$dns] \| HTTP [$http]"; }

	#!/usr/bin/env zsh
	# Quick diagnostics for the EasyTether USB path.

	set -u

	header() {
	printf '\n== %s ==\n' "$1"
	}

	status() {

	#!/usr/bin/env python3
	import re, time, json, gzip, argparse, hashlib, logging
	from urllib.parse import urljoin, urlparse, parse_qs
	from xml.etree import ElementTree as ET

	from curl_cffi import requests
	from curl_cffi.requests.exceptions import Timeout, RequestException

	BASE = "https://www.choicehotels.com"
	BROWSERS = ["chrome120", "chrome110", "safari17"]

	ollama list \| awk 'NR>1 {print $1}' \| fzf \| xargs -I{} sh -c \
	'GGUF="$(ollama show {} --modelfile \| awk "/^FROM /{print \$2}")"; \
	npx @huggingface/gguf --show-tensor "$GGUF"'

	echo "deb http://repo.vivaldi.com/stable/deb/ stable main" \| sudo tee /etc/apt/sources.list.d/vivaldi.list > /dev/null
	wget -O - http://repo.vivaldi.com/stable/linux_signing_key.pub \| sudo apt-key add -
	sudo apt update && sudo apt install vivaldi-stable