Can it validate both official SDKs and custom HTTP calls?

Yes, it is designed to identify the integration surface regardless of whether the project uses the official OpenAI SDK or raw HTTP requests.

How does this skill help with API security?

The skill specifically checks for hard-coded secrets and ensures that authentication is handled via environment variables and that sensitive keys are not leaked in logs.

Does it support rate-limiting checks?

Yes, part of its workflow includes reviewing response handling to ensure that rate-limit headers and backoff behaviors are handled defensively.

Can it perform live tests?

The skill suggests and helps document minimal smoke tests or dry-runs to validate that the implementation produces the expected outputs.

OpenAI API Implementation Validator

Name: OpenAI API Implementation Validator
Author: rozwer

byrozwer

API 개발

Audits and validates OpenAI API integrations for security, parameter correctness, and robust error handling.

소개

The OpenAI API Implementation Validator is a specialized skill designed to review and audit how applications interact with OpenAI's services. It provides a structured workflow to identify integration surfaces, verify that sensitive API keys are managed securely via environment variables, and ensure that request parameters match required schemas. Furthermore, the skill evaluates the robustness of the implementation by checking for proper timeout configurations, retry logic, and defensive response handling, making it an essential tool for developers building production-grade AI applications.

주요 기능

Audits error handling, rate-limit backoff, and retry logic
Generates minimal smoke tests to document expected API outputs
Identifies SDK versus raw HTTP integration patterns
Verifies secure authentication and secret management practices
Validates request parameter types, shapes, and required fields
0 GitHub stars

사용 사례

Debugging inconsistent API responses or unexpected integration errors
Auditing LLM-powered features for production-ready security and reliability
Ensuring new OpenAI API updates are correctly implemented in existing code

소개

주요 기능

Audits error handling, rate-limit backoff, and retry logic
Generates minimal smoke tests to document expected API outputs
Identifies SDK versus raw HTTP integration patterns
Verifies secure authentication and secret management practices
Validates request parameter types, shapes, and required fields
0 GitHub stars

사용 사례

Debugging inconsistent API responses or unexpected integration errors
Auditing LLM-powered features for production-ready security and reliability
Ensuring new OpenAI API updates are correctly implemented in existing code