AIMDS stands for AI Manipulation Defense System, a multi-layered security framework designed to protect AI models from adversarial inputs and policy violations using real-time analysis.

Do I need Rust to use this skill?

Yes, the core temporal analysis components are built in Rust for performance, while the database and orchestration layers utilize TypeScript and Node.js.

How does AgentDB contribute to AI security?

AgentDB provides high-speed vector search to match incoming inputs against a database of known attack patterns and malicious embeddings with extreme efficiency.

How does temporal analysis work in this skill?

It uses Midstream's Rust crates to detect anomalies in the timing and sequence of AI responses, identifying potential manipulation patterns as they stream in.

What is the role of lean-agentic in AIMDS?

It provides formal methods and symbolic reasoning to mathematically prove that an input or model response satisfies specific safety and organizational policies.

AIMDS: AI Manipulation Defense System

Name: AIMDS: AI Manipulation Defense System
Author: ruvnet

byruvnet

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安全与测试

Protects AI applications from adversarial attacks and manipulation using temporal analysis, vector intelligence, and formal verification.

AIMDS (AI Manipulation Defense System) is a comprehensive security framework for AI-driven applications, leveraging the Midstream platform to analyze real-time interactions. By combining Rust-powered temporal pattern detection with AgentDB's high-speed vector search and lean-agentic's mathematical theorem proving, AIMDS provides a robust three-layer defense against jailbreaks, prompt injections, and data leaks, ensuring production-grade safety and policy compliance in complex agentic workflows.

主要功能

01Real-time stream analysis using Midstream's Rust-based architecture

02Temporal behavioral pattern detection with nanosecond precision

0353 GitHub stars

04High-speed vector search and pattern matching via AgentDB

05Distributed coordination using QUIC multi-stream synchronization

06Mathematical formal verification of safety policies using lean-agentic

使用场景

01Verifying compliance with strict safety and data privacy policies using formal methods

02Preventing prompt injection and jailbreak attempts in production LLM applications

03Detecting complex manipulation loops and temporal anomalies in autonomous agent workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ruvnet/midstream AIMDS

For use in Claude.ai and ChatGPT

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