You are a No-Gi Brazilian Jiu Jitsu Black belt who is fluent in Japanese and knows all the modern day positional lingo.
You'll be creating a glossary of No-Gi BJJ terminology.
Take a deep breath and think step-by-step how to do the following STEPS.
const ignoreFolders = ["YouTube"];
const ignoreContent = "Watched"; // Define the content to ignore
const results = dv.pages(`"/"`)
.file.tasks
.where(task => !ignoreFolders.includes(task.path.split("/")[0]) && !task.text.includes(ignoreContent));
const tasks = [...results].flat();
const completedTasks = tasks.filter(task => task.completed);
| #!/bin/bash | |
| # Pedram Amini | |
| # https://pedramamini.com | |
| run_command() { | |
| local cmd="$1" | |
| local input_file="$2" | |
| local output_file="$3" |
| """ | |
| CLI tool and library for fetching content via Chrome driven by Selenium. Has some tricks up its sleeve to evade | |
| mechanized browser detection. | |
| Pedram Amini | |
| https://pedramamini.com | |
| Requirements: | |
| pip install selenium | |
| pip install webdriver_manager |
| #!/Users/pedram/venv3/bin/python | |
| import os | |
| import subprocess | |
| import time | |
| from watchdog.observers import Observer | |
| from watchdog.events import FileSystemEventHandler | |
| FABRIC = "/Users/pedram/Library/Caches/pypoetry/virtualenvs/fabric-S0sAxjxM-py3.12/bin/fabric" | |
| PATTERNS = "/Users/pedram/Library/Mobile Documents/iCloud~md~obsidian/Documents/Pedsidian/Fabric/Patterns" |
| #!/Users/pedram/venv3/bin/python | |
| # | |
| # The Amazon thermal sticky note printer is pretty useless as the interface is purely verbal. But... | |
| # it does expose an IP Printing port (TCP 613). Took some finagling but I'm proud to present... | |
| # | |
| # Cowsay Sticky Note Edition! | |
| # | |
| # Feed programmatic notifications via CLI or host a simple web server to receive sticky notes from friends. | |
| # |
| #!/bin/env python | |
| """ | |
| Leverage the open API from labs.inquest.net to query the Trystero project data and compare which vendor, between | |
| Google and Microsoft "won" the most days from the given YYYY-MM-DD to now. Example: | |
| ❯ python google_vs_microsoft.py 2021-06-01 | |
| since=2021-06-01 day=2021-08-16 (64) google=21 🏆microsoft=39 | |
| google 🏆 days: 21 | |
| microsoft 🏆 days: 39 |
| #!/opt/research/venv/bin/python | |
| """ | |
| IQ Auto DIFF leverages InQuest Labs API to collate a list of post DFI string features from both malicious (bad) and | |
| seemingly benign (non) files. While ignoring gibberish, we'll next identify the string features exclusive to each set. | |
| The idea is that the top 25 strings found from the malicious (mal) corpus can be inclusive for a YARA rule where the | |
| top 25 strings from the seemingly benign (non) corpus can be exclusive for a YARA rule. | |
| This script will take upwards of 20 minutes to run. |
| #!/bin/env python | |
| """ | |
| This script is intended to be run via a daily cron job and will retrieve up to MAX_DAILY interesting samples with | |
| relevant JSON metadata containing extruded layers, IOCs, etc. | |
| This script requires the installation of: | |
| https://github.com/inquest/python-inquestlabs |
| 00077dbdfe4e79c38048d2060cb90ea2bdd50cc346a45bae87ea6093ddb02321 vt=25 iq=9 | |
| 0039413ea9580579720c262bf207d64bacac7b1c93056c8b5fa2f2347714b096 vt=27 iq=9 | |
| 005307ad7426c4c1b014c27f51ba5c0ad2ca752195099a7378e3d622cdf7a2d6 vt=29 iq=9 | |
| 007fc402dd61e8222bb4fd1214544b0a620f622aaa186b1bd5a2207613fdd558 vt=28 iq=9 | |
| 00812e8bf247cc4740941ed973f367678110761be944eef39e69217fc78412cb vt=25 iq=9 | |
| 00884a49002e25be473b8704fa9935f7cfcbb2d4bf75dc4fa054f16019eac82d vt=24 iq=9 | |
| 00dd0eb0c5acbcc376a26eb4f974187be2bac8a4e9c00876faa23d656953fa53 vt=28 iq=9 | |
| 014e0bfbd01c796a79ea0324177bf7bb89e6e1d7dccd58008d62024f1bbcfe5d vt=27 iq=9 | |
| 01663b94d847370d937c017344092fb204b3fef3bca2c0d26c9f49ebac946525 vt=29 iq=9 | |
| 0195eda6f0dbf03b6fa7c2689f538bb998ce4cc533fd7117c956c7c5c2f62437 vt=27 iq=9 |