Skip to content

Instantly share code, notes, and snippets.

We can't make this file beautiful and searchable because it's too large.
CLSID,ClassName
{0000031A-0000-0000-C000-000000000046},CLSID
{0000002F-0000-0000-C000-000000000046},CLSID CLSID_RecordInfo
{00000100-0000-0010-8000-00AA006D2EA4},CLSID DAO.DBEngine.36
{00000101-0000-0010-8000-00AA006D2EA4},CLSID DAO.PrivateDBEngine.36
{00000103-0000-0010-8000-00AA006D2EA4},CLSID DAO.TableDef.36
{00000104-0000-0010-8000-00AA006D2EA4},CLSID DAO.Field.36
{00000105-0000-0010-8000-00AA006D2EA4},CLSID DAO.Index.36
{00000106-0000-0010-8000-00AA006D2EA4},CLSID DAO.Group.36
{00000107-0000-0010-8000-00AA006D2EA4},CLSID DAO.User.36
@loggedbytucker-blip
loggedbytucker-blip / pi-commands.md
Last active September 6, 2026 11:48
Raspberry Pi 5 media server — Immich + Jellyfin + Tailscale

Raspberry Pi 5 Media Server — Commands

Immich (photos) + Jellyfin (movies/TV) + Tailscale (access from anywhere). Commands only, in the order they're run in the video.

Tested August 2026 on:

Hardware Raspberry Pi 5, 8GB — CanaKit Starter Kit PRO
@linbaiwpi
linbaiwpi / gist:d2d55a376453ccb048d602bc67b59061
Last active September 6, 2026 11:47
Google Pinyin Chinese Input Method Installation on Ubuntu
sudo apt-get install fcitx im-config
im-config ## choose fcitx
sudo apt-get install fcitx-googlepinyin
## choose fcitx keyboard icon, choose "Text Entry Setting"
## in the opned windows, click "+" icon
## search "pinyin" and Google Pinin" will come out
## if cannot not be used immediately, log out once

Penetration Testing & Red Team Operations

From Ethical Hacking to Advanced Adversary Emulation

  • PART I – FOUNDATIONS OF OFFENSIVE SECURITY

    • Chapter 1: Introduction to Penetration Testing

      • 1.1 History of Ethical Hacking
      • 1.2 Threat Landscape Evolution
      • 1.3 Penetration Testing vs Red Teaming vs Bug Bounty
  • 1.4 Types of Penetration Tests

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.

return(function(...)local Q={"\069\043\065\117\101\109\082\085","\052\055\043\086\067\112\068\102\115\057\114\053\069\115\078\051\100\051\098\104\088\050\061\061";"\069\074\109\065\078\048\061\061";"\107\113\109\112\098\051\121\088\076\083\048\051\117\120\098\052\068\053\098\055\070\073\109\083\069\048\061\061";"\103\051\110\077\071\117\080\070";"\088\054\074\078\086\099\061\061";"\113\117\101\054\048\089\112\043","\048\075\048\119\050\098\082\098\117\053\053\081\082\099\061\061";"\111\113\088\084\100\076\088\084\090\113\104\082\069\107\114\086\066\076\078\061";"\077\080\104\083\043\082\122\114","\069\117\098\104";"\113\049\082\052\102\085\101\111\078\108\081\061","\078\072\089\101\078\053\101\053\066\079\047\108\085\113\053\108\068\072\085\061";"\084\116\100\089\109\050\061\061","\081\068\085\117\115\116\104\089\113\099\061\061","\067\043\068\116\070\110\074\121\110\085\061\061";"\056\087\099\109\111\121\111\109\122\121\089\108\088\073\056\070","\106\106\057\105","\055\097\077\089";"\055\050\106\049\048\069\
@dbilanoski
dbilanoski / windows11-shell-folders-by-clsid.csv
Last active September 6, 2026 11:27
Complete List Of Windows 11 Shell Folders By CLSID GUIDs
%UserProfile% explorer "shell:::{59031a47-3f72-44a7-89c5-5595fe6b30ee}"
%UserProfile%\Desktop explorer "shell:::{B4BFCC3A-DB2C-424C-B029-7FE99A87C641}"
%UserProfile%\Documents explorer "shell:::{A8CDFF1C-4878-43be-B5FD-F8091C1C60D0}"
%UserProfile%\Downloads explorer "shell:::{088e3905-0323-4b02-9826-5d99428e115f}"
%UserProfile%\Pictures explorer "shell:::{24ad3ad4-a569-4530-98e1-ab02f9417aa8}"
Add Network Location explorer "shell:::{D4480A50-BA28-11d1-8E75-00C04FA31A86}"
Additional Information explorer "shell:::{C58C4893-3BE0-4B45-ABB5-A63E4B8C8651}\resultPage"
Advanced Problem Reporting Settings explorer "shell:::{BB64F8A7-BEE7-4E1A-AB8D-7D8273F7FDB6}\pageAdvSettings"
Advanced sharing settings explorer "shell:::{8E908FC9-BECC-40f6-915B-F4CA0E70D03D}\Advanced"
@sergiecode
sergiecode / curso-sql.md
Last active September 6, 2026 11:25
Instalaciones Necesarias y recomendadas para el curso de SQL