openai-assistants-legacy-security

Identify and remediate legacy OpenAI Assistants API integrations with per-user thread isolation.

4|Updated Apr 27, 2026
One-click install
npx skills add https://github.com/maruakshay/mii-ai-security --skill openai-assistants-legacy-security
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-assistants-legacy-security
Source: https://github.com/maruakshay/mii-ai-security/tree/main/skills/openai-assistants-legacy-security
Command: npx skills add https://github.com/maruakshay/mii-ai-security --skill openai-assistants-legacy-security

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Legacy OpenAI Assistants integrations often reuse threads, expose tools, or attach files in ways that leak context between users or tasks. This creates persistent memory surfaces that attackers can exploit or that hinder migration to newer interfaces.

Core Features & Use Cases

  • Inventory and scope assistants, threads, files, and tools to minimize cross-user leakage.
  • Enforce per-thread isolation, per-user authorization, and migration-safe wrappers during transitions to new interfaces.
  • Use Case: A security team audits an organization's legacy assistants to identify over-privileged tool access and to plan a migration path.

Quick Start

Identify legacy OpenAI Assistants definitions and document thread reuse patterns to begin remediation.

Frequently Asked Questions about openai-assistants-legacy-security

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I secure legacy OpenAI Assistants API integrations that leak context between users?

Secure legacy OpenAI Assistants integrations by enforcing per-user, per-task thread isolation and per-thread file authorization. This prevents cross-user context leakage by eliminating shared persistent memory surfaces and unauthorized tool access.

What causes cross-user context leakage in legacy OpenAI Assistants threads?

Cross-user context leakage occurs when legacy OpenAI Assistants integrations reuse threads, expose broad tool access, or attach files without per-user authorization. These patterns create persistent memory surfaces that attackers can exploit to access other users' data.

How do I inventory legacy OpenAI Assistants to identify over-privileged tool access?

Inventory legacy OpenAI Assistants by scoping and documenting all assistants, threads, and attached files. This process identifies over-privileged tool access and thread reuse patterns to plan a secure migration path to newer interfaces.

Can I use migration-safe wrappers to prevent unauthorized tool use in OpenAI Assistants?

Yes, migration-safe wrappers prevent unauthorized tool use during transitions to new OpenAI interfaces. They enforce per-thread file authorization and restrict tool exposure, eliminating legacy patterns before completing your migration.

What is a migration blocklist for legacy OpenAI Assistants integrations?

A migration blocklist is a documented inventory of legacy OpenAI Assistants patterns to eliminate before moving to newer interfaces. It targets thread reuse, broad tool access, and unmanaged file attachments to ensure secure migration.