openai-responses-tool-file-security

Review OpenAI Responses API integrations for unsafe hosted-tool exposure and authorization gaps.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reviews an OpenAI Responses API integration to detect unsafe hosted-tool exposure, out-of-scope file access, and misconfigurations that could leak data or escalate tool privileges.

Core Features & Use Cases

  • Enforces per-request authorization for hosted tools and attached resources.
  • Validates tool outputs, function calls, and inputs against strict schemas to prevent injection and data leakage.
  • Applies to web apps integrating the Responses API, file search tools, and custom functions to ensure per-user isolation and safe request chaining.

Quick Start

Review your OpenAI Responses API integration and implement per-request authorization, strict schema validation, and tool-loop containment to prevent data leakage and unsafe tool usage.

Frequently Asked Questions about openai-responses-tool-file-security

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

FAQPage Schema
How do I prevent unauthorized file access in OpenAI Responses API integrations?

Prevent unauthorized file access in OpenAI Responses API integrations by enforcing per-request authorization checks and strict file-search scope validation. This ensures hosted tools only access permitted resources, eliminating data leakage risks from out-of-scope file retrieval.

What is per-request tool exposure and how does it secure hosted tools?

Per-request tool exposure secures hosted tools by restricting endpoint availability to the specific user and request context. This mechanism ensures custom functions and file search tools are only accessible when explicitly authorized, preventing privilege escalation and unsafe tool chaining.

How do I validate function call arguments to prevent prompt injection in the Responses API?

Validate function call arguments to prevent prompt injection in the Responses API by applying strict schema validation to all tool inputs and outputs. This ensures conversation-state data and custom function parameters conform to expected formats, actively blocking malicious injection attempts.

How do I implement a tool loop circuit breaker for OpenAI Responses API?

Implement a tool loop circuit breaker for OpenAI Responses API by validating previous_response_id and monitoring conversation-state escalation. This containment strategy stops runaway tool chaining loops, preventing unsafe recursive function calls and mitigating excessive automated resource consumption.

Does the OpenAI Responses API support per-user isolation for file search tools?

The OpenAI Responses API can support per-user isolation for file search tools when paired with strict per-request authorization checks. Validating attached resource scopes and enforcing endpoint tool exposure ensures users only retrieve their own explicitly permitted files.

What are the limitations of relying on OpenAI hosted tools without strict schema validation?

Relying on OpenAI hosted tools without strict schema validation allows misconfigurations that leak data and escalate tool privileges. Without per-endpoint tool exposure and argument validation, custom functions become vulnerable to prompt injection and unsafe conversation-state chaining.