zvineyard

<form action="" enctype="multipart/form-data" method="post">
<input id="file" name="file" type="file" />
<input id="Submit" name="submit" type="submit" value="Submit" />
</form>

sdellis

#!/bin/bash

#
# sqlite3_backup.sh
# Script for backing up sqlite3 database with integrity checking
# Intended for use with cron for regular automated backups
#
# @author <[email protected]>
#

antoviaque

Third Party Authentication Features in Open edX: Technical Knowledge Transfer

Part 1: Background / Notes

• Open edX has full, integrated support for three different types of third party auth provider:
  1. OAuth based providers (OAuth2 and the older OAuth v1). Google, Facebook, LinkedIn, and Azure Active Directory are available by default. Any other OAuth backends supported by python-social-auth v0.2.12 can be enabled by changing a configuration setting. Contributed by Google (John Cox).
  2. SAML / Shibboleth. SAML is an SSO standard mostly used by universities and corporations. Shibboleth is the name of a particular implementation of SAML, commonly used by higher ed. institutions.
  3. LTI. Users can use Learning Tools Interoperability® (LTI®) to authenticate. Support for this was contributed by UBC.
• The Open edX platform also includes limited support for the following SSO providers.

1. [

CyberPunkCodes

#!/bin/bash

echo "\n\n--- Killing Stupid Adobe Auto Load Crap ---\n\n"

launchctl unload -w /Library/LaunchAgents/com.adobe.AdobeCreativeCloud.plist
launchctl unload -w /Library/LaunchAgents/com.adobe.AAM.Updater-1.0.plist

echo "\n\n--- Done! ---\n\n"

aashari

The Autonomous Agent Prompting Framework

This repository contains a disciplined, evidence-first prompting framework designed to elevate an Agentic AI from a simple command executor to an Autonomous Principal Engineer.

The philosophy is simple: Trust, but verify. Autonomy through discipline.

This framework is not just a set of prompts; it is a complete operational system for managing AI agents. It enforces a rigorous workflow of reconnaissance, planning, safe execution, and self-improvement, ensuring every action taken by the AI is deliberate, verifiable, and aligned with senior engineering best practices.

Core Philosophy