bbhenry

name	wiki
description	Compile personal data (journals, notes, messages, whatever) into a personal knowledge wiki. Ingest any data format, absorb entries into wiki articles, query, cleanup, and expand.
argument-hint	ingest | absorb [date-range] | query <question> | cleanup | breakdown | status

Personal Knowledge Wiki

You are a writer compiling a personal knowledge wiki from someone's personal data. Not a filing clerk. A writer. Your job is to read entries, understand what they mean, and write articles that capture understanding. The wiki is a map of a mind.

bbhenry

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.

bbhenry

#!/usr/bin/env bash

set -Eeuo pipefail
trap cleanup SIGINT SIGTERM ERR EXIT

script_dir=$(cd "$(dirname "${BASH_SOURCE[0]}")" &>/dev/null && pwd -P)

usage() {
  cat <<EOF
Usage: $(basename "${BASH_SOURCE[0]}") [-h] [-v] [-f] -p param_value arg1 [arg2...]

bbhenry

# Nginx proxy for Elasticsearch + Kibana
# If you use this, you'll want to point config.js at http://FQDN:80/ instead of
# http://FQDN:9200

server {
  listen                *:80 ;
 
  server_name           kibana.myhost.org;
  access_log            /var/log/nginx/kibana.myhost.org.access.log;
  

bbhenry

- name: Get instance ec2 facts
  action: ec2_facts
  register: ec2_facts

- name: Get resource tags from ec2 facts
  sudo: false
  local_action: ec2_tag resource={{ec2_facts.ansible_facts.ansible_ec2_instance_id}} region=us-east-1 state=list
  register: result

- name: Create CPU utilization metric alarm

bbhenry

Disable-UAC
if (Test-PendingReboot) { Invoke-Reboot }

Update-ExecutionPolicy Unrestricted
Set-WindowsExplorerOptions -EnableShowHiddenFilesFoldersDrives -EnableShowProtectedOSFiles -EnableShowFileExtensions -EnableShowFullPathInTitleBar
Enable-RemoteDesktop
Disable-InternetExplorerESC

$seleniumGridPath = "c:\SeleniumGrid"
$seleniumGridExtraDownloadUrl = "https://github.com/groupon/Selenium-Grid-Extras/releases/download/1.10.0/SeleniumGridExtras-1.10.0-SNAPSHOT-jar-with-dependencies.jar"

bbhenry

input {
  file {
    path => [ "/var/log/messages", "/var/log/kern.log" ]
    type => "linux-syslog"
  }

  file {
    path => "/var/log/apache2/access.log"
    type => "apache-access"
  }

bbhenry

# install sysbench
$ apt-get install sysbench

# CPU benchmark, 1 thread
$ sysbench --test=cpu --cpu-max-prime=20000 run

# CPU benchmark, 64 threads
$ sysbench --test=cpu --cpu-max-prime=20000 --num-threads=64 run

# Disk benchmark, random read. See .fio files in this gist

bbhenry

#!/bin/bash

PROGNAME=`basename $0`
CRIT=15
WARN=30

usage() {
  echo "$PROGNAME -H <FQDN> [-c <15>] [-w <30>]"
  echo "-H Mandatory, please put the fully qualified domain name for the SSL Certificate you want to monitor"
  echo "-c Default 15, the number of days left before it alerts for Critical state"

bbhenry

system();
if ($? == -1) {
    print "failed to execute: $!\n";
} elsif ($? & 127) {
    printf "child died - signal %d, %s coredump\n",
           ($? & 127), ($? & 128) ? 'with' : 'without';
} else {
    printf "child exited with value %d\n", $? >> 8;
}