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GitHub Recon
CLI tool for GitHub repository reconnaissance with CSV, HTML, and Excel (XLSX) report generation. Includes MCP server for AI agent integration and auto-category detection.
GitHub Tools Reference
Quick reference for the GitHub MCP tools for searching Algorand code examples.
Heti AI Ökoszisztéma Figyelő
title: "Heti AI Ökoszisztéma Figyelő"
MCP Tools Reference for Context Agents
This guide documents the Model Context Protocol (MCP) tools required for the Context-Aware Agent system and provides usage examples for each.
AI Agent Builder & Orchestrator
**Purpose:** Conversational AI system that understands user goals, discovers the best tools/frameworks, and automatically builds complete agent solutions with UI, backend, MCP integration, and documentation.
Idea Hunt Team Diagnostic Report
**Purpose:** End-to-end diagnostic of agent team creation, orchestration, and execution
TOOLS.md - Local Notes
Skills define _how_ tools work. This file is for _your_ specifics — the stuff that's unique to your setup.
Tasklist: Sprint 05 - AssemblyAI Deep Analysis
**Duration**: 4 weeks
Sensitive Data Protection
Define strategies and best practices for protecting sensitive data in logging systems while maintaining observability and compliance requirements.
PROJECT 8: Enterprise-Grade AI Knowledge Copilot
**Project Name:** KnowledgeForge AI Copilot
🤖 Agentic Finance Director — Agent Inventory (Batch 3: AGT-101 → AGT-150)
> **50 Agents | Cross-Cutting, RAG Infrastructure, Data Pipeline, Multi-Agent Orchestration, Advanced Analytics**
README
<h1 align="center">Zorya Proxy</h1>
LlmGuard Framework - Complete Implementation Buildout
**LlmGuard** is a comprehensive AI Firewall and Guardrails framework for LLM-based Elixir applications. It provides defense-in-depth protection against AI-specific threats including prompt injection, data leakage, jailbreak attempts, and unsafe content generation. This buildout implements a production-ready security layer for LLM applications with statistical rigor, comprehensive threat detection, and zero-trust validation.
Command Configuration
description: Get mitigation strategies and defensive measures for identified vulnerabilities
Advanced Module 9: AI Security Fundamentals
**Duration:** 45 min live workshop + 75 min self-paced exercises
hl_overview
High level overview of the codebase
Terraform AWS CloudWatch Module
- **Module Name**: `cloudwatch`
Chatbot & Prompt Injection Pentesting Playbook
- **[Overview](#overview)** — Scope and framework
AIP-C01 Exam Concepts: Ranked by Importance
Comprehensive concept inventory for the AWS Certified Generative AI Developer - Professional
Comprehensive ETL/ELT Interview Questions by Topic
1. [ETL/ELT Fundamentals](#etlelt-fundamentals)
Privacy Computing and Secure Execution Solutions - Comprehensive Research Report
**Date:** March 13, 2026
DQML Platform - Feature Brainstorm Mind Map
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Simplified pseudocode
In this scenario—as a **Senior Software Developer** building **AI agents** and ML infrastructure at Global Relay—the approach needs to be **practical, scalable, and production-ready**. Below is a high-level architectural and development plan tailored to the responsibilities and use cases described.
Annex A.8: Technological Controls
**Document Classification:** Internal