Mike Preston Darkflib

Native Secure Enclave backed ssh keys on MacOS

It turns out that MacOS Tahoe can generate and use secure-enclave backed SSH keys! This replaces projects like https://github.com/maxgoedjen/secretive

There is a shared library /usr/lib/ssh-keychain.dylib that traditionally has been used to add smartcard support to ssh by implementing PKCS11Provider interface. However since recently it also implements SecurityKeyProivder which supports loading keys directly from the secure enclave! SecurityKeyProvider is what is normally used to talk to FIDO2 devices (e.g. libfido2 can be used to talk to your Yubikey). However you can now use it to talk to your Secure Enclave instead!

Claude Memory Template

Copy-Paste Instructions for Optimal AI Interaction

⸻

1. Core Identity and Objective

I am [Your Name/Role], focused on:

Bank‑Based Anonymous Age Verification (BAV)

A zero‑storage, privacy‑preserving age check that leverages banks’ existing KYC — with the user as the transport layer.

TL;DR

Banks sign an age claim, not an identity. They never learn which site you’re visiting.
Merchants verify a short‑lived token against their own nonce and a one‑time WebAuthn key. No database required.

AGENTS.md spec

Containers often contain AGENTS.md files. These files can appear anywhere in the container's filesystem. Typical locations include /, ~, and in various places inside of Git repos.
These files are a way for humans to give you (the agent) instructions or tips for working within the container.
Some examples might be: coding conventions, info about how code is organized, or instructions for how to run or test code.
AGENTS.md files may provide instructions about PR messages (messages attached to a GitHub Pull Request produced by the agent, describing the PR). These instructions should be respected.
Instructions in AGENTS.md files:
- The scope of an AGENTS.md file is the entire directory tree rooted at the folder that contains it.
- For every file you touch in the final patch, you must obey instructions in any AGENTS.md file whose scope includes that file.
Instructions about code style, structure, naming, etc. apply only to code within the AGENTS.md file's scope, unless the f

gitls

git ls-files --sparse --full-name -z | 
  xargs -0 -I FILE -P 20 git log --date=iso-strict-local --format='%ad %>(14) %cr %<(5) %an  %h ./FILE' -- FILE | 
  sort --general-numeric-sort

This lists the files and hashes for each git commit and file:

2021-12-05T13:32:32-06:00  1 year, 11 months ago  Jacob Chapman  cc91fa0 ./.gitattributes

2021-12-05T13:32:32-06:00 1 year, 11 months ago Jacob Chapman cc91fa0 ./.gitignore

You probably don't know how to do Prompt Engineering

(This post could also be titled "Features missing from most LLM front-ends that should exist")

Apologies for the snarky title, but there has been a huge amount of discussion around so called "Prompt Engineering" these past few months on all kinds of platforms. Much of it is coming from individuals who are peddling around an awful lot of "Prompting" and very little "Engineering".

Most of these discussions are little more than users finding that writing more creative and complicated prompts can help them solve a task that a more simple prompt was unable to help with. I claim this is not Prompt Engineering. This is not to say that crafting good prompts is not a difficult task, but it does not involve doing any kind of sophisticated modifications to general "template" of a prompt.

Others, who I think do deserve to call themselves "Prompt Engineers" (and an awful lot more than that), have been writing about and utilizing the rich new eco-system

	'system':
	[
	{
	'type': 'text',
	'text': "You are Claude Code, Anthropic's official CLI for Claude.",
	'cache_control': {'type': 'ephemeral'}
	},
	{
	'type': 'text',
	'text': 'You are an interactive CLI tool that helps users with software engineering tasks.

	function fractalNoise(x, y, frequency, octaves, persistence = 0.5, lacunarity = 2) {
	let total = 0;
	let amplitude = 1;
	let maxValue = 0; // Used for normalizing result to 0.0 - 1.0

	for (let i = 0; i < octaves; i++) {
	total += noise2D(x * frequency, y * frequency) * amplitude;
	maxValue += amplitude;
	amplitude *= persistence;
	frequency *= lacunarity;

	# Clone llama.cpp
	git clone https://github.com/ggerganov/llama.cpp.git
	cd llama.cpp

	# Build it
	make clean
	LLAMA_METAL=1 make

	# Download model
	export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin

	# coding=utf-8
	# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software