Eleanor Berger intellectronica

Simple LISP Interpreter in Go, created by GPT-OSS-120B

It worked really fast (on OpenRouter)
I suspect this was with low reasoning effort, I don't know how to control it on OpenRouter
It didn't get it right on the first attempt, but after 5 round trips it worked - would have been just fine with an agent

NICE!!!

Source	../.config/ruler/instructions.md

You have useful tools available as MCP or command-line. Use them.
Unless you are absolutely sure that you have correct and, crucially, up-to-date information in your knowledge, always get information from the web. You can use Tavily for searching and getting information, and you can always use curl to fetch web pages.
If you are working on something that presents web pages, you should use Playwright to open these pages, take snapshots, and inspect them.
When working in a git repository, always switch to a new branch, unless explicitly insutrcted not to.
If the git repo has a corresponding repo on GitHub, use the gh tool for things like looking at issues, opening pull requests, reading review comments, and looking at CI results.

Create a gist with multiple files (including binaries) in a directory

By Eleanor Berger < @intellectronica > and Codex CLI / GPT-5.

usage: gistify.py [-h] [--public | --secret] [directory]

You can auto-approve tool calls and terminal commands in Copilot’s Agent mode.

With ❤️ from Eleanor < @intellectronica > ( OKIGU Consulting | Elite AI-assisted Coding )

Roots: Self was designed in 1986 by David Ungar and Randall Smith as a radical simplification of Smalltalk: no classes, just prototypes (objects cloning and specialising other objects). Early work started at Xerox PARC, then moved to Stanford; the first compiler appeared in 1987. Public release: 1990. In 1991 the team joined Sun Microsystems. ([Self Language][1], [Wikipedia][2])
The feel of the system: a live, image-based environment (like Smalltalk), with the Morphic GUI later ported to Squeak/Pharo and even the Lively Kernel. ([Wikipedia][3], [Gbracha][4])
Why performance mattered: Self aimed for interactive, exploratory programming and speed. By the mid-90s, Self’s VMs hit ~½ the speed of optimised C on some benchmarks—astonishing for a dynamic, prototype-based language then. ([Wikipedia][2])

	#!/usr/bin/env python3
	# /// script
	# requires-python = ">=3.12"
	# dependencies = [
	# "rich>=13.0.0",
	# "pyfiglet>=0.9.0",
	# ]
	# ///

	"""Display a full-screen colorful banner that reads "I ❤️ GPT-5-mini".

	# --- OTel + log file prep (before nginx starts) ---
	# Ensure /var/log/nginx exists
	mkdir -p /var/log/nginx

	# Replace default Docker symlinks (to stdout/stderr) with real files so the collector can tail them
	for f in access.log error.log; do
	if [ -L "/var/log/nginx/$f" ]; then
	mv -f "/var/log/nginx/$f" "/var/log/nginx/$f.dockerlink" \|\| true
	fi
	: > "/var/log/nginx/$f"

	[
	{
	"key": "tab",
	"command": "workbench.action.chat.switchToNextModel",
	"when": "chatInputHasFocus && chatIsEnabled && !lockedToCodingAgent && !quickChatHasFocus && chatLocation == 'panel'"
	}
	]