Rakesh-2006-r

Self Healing AI Cybersecurity Platform For Smart Power Grids — Security skill for Claude Code

Security community

Self-Healing Multi-Agent AI Cybersecurity Platform for Smart Power Grids.

How to install Self Healing AI Cybersecurity Platform For Smart Power Grids

This entry records only its repository, not the path inside it, so there is no exact command to give. Open Rakesh-2006-r/Self-Healing-AI-Cybersecurity-Platform-for-Smart-Power-Grids and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Self Healing AI Cybersecurity Platform For Smart Power Grids does

Self-Healing Multi-Agent AI Cybersecurity Platform for Smart Power Grids. Features Spatial PyTorch GNNs, LangGraph Multi-LLM Orchestration (Claude, DeepSeek, OpenAI, Gemini, Ollama), MITRE ICS Threat Mapping, ChromaDB Vector RAG, and Sub-5ms Autonomous Grid Reconfiguration.

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README

Self-Healing AI Cybersecurity Platform for Smart Power Grids

[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/) [![PyTorch](https://img.shields.io/badge/PyTorch-2.0+-ee4c2c.svg)](https://pytorch.org/) [![Streamlit](https://img.shields.io/badge/Streamlit-1.35+-ff4b4b.svg)](https://streamlit.io/) [![ChromaDB](https://img.shields.io/badge/ChromaDB-Vector--RAG-purple.svg)](https://www.trychroma.com/) [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE) [![NERC CIP](https://img.shields.io/badge/NERC%20CIP-Compliant-green.svg)](https://www.nerc.com/pa/Stand/Pages/CIPStandards.aspx) [![MITRE ICS](https://img.shields.io/badge/MITRE-ATT%26CK%20ICS-red.svg)](https://attack.mitre.org/matrices/ics/)

**Department of Data Science | Batch DSA-13**

An autonomous cyber-physical defense and self-healing platform engineered to detect, classify, and mitigate critical smart grid cyber intrusions (FDIA, SCADA DDoS, Breaker Hijacking) with sub-5ms automated restoration using Graph Neural Networks, LangGraph Multi-LLM Agent Orchestration, and ChromaDB Vector RAG.

Project Overview

AEGIS-GRID simulates a full IEEE 14-Bus / IEEE 33-Bus smart power distribution network and applies an AI-driven security stack to detect, analyze, and autonomously mitigate cyber-physical threats in real time. The platform is designed to meet NERC CIP, IEEE 1547, and IEEE 1159 grid security standards.

Key Features

Spatial PyTorch GNN AutoEncoder for real-time anomaly localization across the power graph
LangGraph Multi-Agent Orchestration with 4 specialized AI agents:
- Triage Agent, Risk Assessment Agent, Healing Planner Agent, Safety Validator Agent
Universal LLM Support: Anthropic Claude, DeepSeek, Mistral AI, OpenAI, Google Gemini, HuggingFace, Ollama, and offline heuristics
ChromaDB Vector RAG: Semantic retrieval of IEEE standards, NERC CIP protocol