Which OpenAI models are supported?

You can specify various models through the CLI parameters, including high-reasoning models for complex tasks or faster models like o4-mini for quick validations.

Why use this skill if Claude is already analyzing my code?

Using a second AI model like OpenAI's Codex helps identify unique blind spots, reduces hallucination risks, and provides a consensus-based validation for critical architectural decisions.

Does this skill require an OpenAI API key?

Yes, this skill utilizes the Codex CLI which requires authentication via an OpenAI account or a valid API key to execute queries.

Can I get results in a specific data format?

Absolutely. The skill supports JSON schemas, allowing you to define the exact structure of the output for easier parsing and integration into other workflows.

Codex Second Opinion

Name: Codex Second Opinion
Author: keboola

bykeboola

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Security & Testing

Validates code and architectural decisions by leveraging OpenAI Codex models for multi-perspective technical analysis.

About

The Codex Second Opinion skill integrates the OpenAI Codex CLI into the Claude environment, allowing developers to obtain rigorous 'second opinions' on their work. By comparing Claude's analysis with OpenAI's high-reasoning models, users can perform cross-model architectural validation, security audits, and complex technical reviews. This skill is particularly valuable for ensuring consensus on critical implementation paths, providing structured JSON outputs via schemas, and identifying potential blind spots through comparative AI analysis.

Key Features

Automated comparison and synthesis of diverse AI viewpoints
Comprehensive architectural and security review capabilities
Configurable model selection including high-reasoning GPT-5 and O4 variants
14 GitHub stars
Multi-model analysis comparing Anthropic and OpenAI perspectives
Structured JSON output with schema-based validation for predictable parsing

Use Cases

Validating complex architectural decisions through a second AI perspective
Generating structured, schema-compliant assessments for technical documentation
Performing deep security audits on sensitive filesystem or networking code

About

Key Features

Automated comparison and synthesis of diverse AI viewpoints
Comprehensive architectural and security review capabilities
Configurable model selection including high-reasoning GPT-5 and O4 variants
14 GitHub stars
Multi-model analysis comparing Anthropic and OpenAI perspectives
Structured JSON output with schema-based validation for predictable parsing

Use Cases

Validating complex architectural decisions through a second AI perspective
Generating structured, schema-compliant assessments for technical documentation
Performing deep security audits on sensitive filesystem or networking code