| #!/usr/bin/env python3 | |
| # default verbose | |
| import os | |
| import time | |
| from pathlib import Path | |
| def convert_fish_to_zsh_history(): | |
| fish_history_path = Path.home() / '.local/share/fish/fish_history' | |
| zsh_history_path = Path.home() / '.zsh_history' |
| import unittest | |
| import yaml | |
| import dns.resolver | |
| # Load the YAML file | |
| with open('dns_tests.yaml', 'r') as file: | |
| test_cases = yaml.safe_load(file) | |
| class TestDNSLookup(unittest.TestCase): | |
| def dns_lookup(self, host, record_type): |
| /* Catppuccin Mocha Theme for Kagi */ | |
| .search-input-container { | |
| position: relative; | |
| width: 100%; | |
| color: #d9e0ee; | |
| background-color: #1e1e2e; | |
| border-radius: 2rem !important; | |
| border: 1px solid #f5c2e7 !important; | |
| transition-duration: 0.2s; |
| name: CI Pipeline | |
| on: [push, pull_request] | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Checkout code | |
| uses: actions/checkout@v2 |
| { | |
| description = "Colmena nixflake demo"; | |
| inputs = { | |
| nixpkgs.url = "github:NixOS/nixpkgs/nixos-unstable"; | |
| flake-utils.url = "github:numtide/flake-utils"; | |
| colmena.url = "github:zhaofengli/colmena"; | |
| }; | |
| outputs = { self, nixpkgs, flake-utils, colmena }: |
#troxide user? You can import your tatulli information like this.
$ sqlite3 /opt/stacks/tautulli/tautulli.db 'SELECT
json_extract(tvmaze_json, \'$.id\') AS show_id,
json_extract(tvmaze_json, \'$.name\') AS show_name
FROM tvmaze_lookup;' > tvm.export
$ echo '( version:1, series: [' > tatulli.import
$ awk -F\| '{print "(id:$1,name:\"$2\", is_tracked: true; seasons: {}),"}' >> tatulli.import
So I was reading https://fedi.simonwillison.net/@simon blog post https://simonwillison.net/2023/May/18/cli-tools-for-llms/
He had a neat workflow to summarize web pages.
So I extended it, and used pup and strip-tags to get the frontpage links from the Drudge Retort (NOT DRUDGE REPORT), processed all the links through curl and use 4o to summarize them. THen I summarized the summaries, and I get a quick hit read of what happened today. Kinda like WTFJHT.
# Create a file to store all summaries
echo -n "" > all_summaries.txt
| from newspaper import Article | |
| import markdownify | |
| def extract_article(url): | |
| article = Article(url) | |
| article.download() | |
| article.parse() | |
| return article.text | |
| def convert_to_markdown(html_content): |
> ssh-audit 10.0.0.74
# general
(gen) banner: SSH-2.0-dropbear_2016.74
(gen) software: Dropbear SSH 2016.74
(gen) compatibility: OpenSSH 7.3+ (some functionality from 6.6), Dropbear SSH 2016.73+ (some functionality from 2014.66)
(gen) compression: disabled
# security
(cve) CVE-2018-15599 -- (CVSSv2: 5.0) remote users may enumerate users on the system