Can I set a time limit for GPT responses?

Yes, you can pass a timeout argument, such as 'timeout:30', to define how many seconds the skill should wait for a response.

Does this skill allow GPT to modify my local files?

Yes, the skill is granted access to Bash, Write, and Edit tools, allowing the GPT model to read from and write to your local repository.

What is 'mode:plan' used for?

Mode:plan allows the model to outline a strategy or architectural approach for a task before making any actual code changes.

Which OpenAI models does this skill use?

It typically uses the codex binary or falls back to high-reasoning models like GPT-4 or specified agent versions.

What is the difference between the GPT CLI and Codex skills?

They are interchangeable aliases for the same backend. You can use either /model-cli:gpt or /model-cli:codex to achieve the same result.

GPT CLI Access

Name: GPT CLI Access
Author: tony

bytony

0•

Data Science & ML

Facilitates direct interaction with OpenAI GPT models through a command-line interface within the Claude environment.

The GPT CLI skill provides a seamless bridge between Claude and OpenAI’s GPT models, allowing developers to route prompts directly to GPT backends. Acting as an alias for the Codex skill, it enables the execution of complex coding tasks, plan generation, and model-to-model verification within a single workflow. This skill is particularly useful when developers need to cross-reference logic between different LLM architectures or leverage specific GPT reasoning capabilities without leaving their current terminal session.

Key Features

01Direct invocation of OpenAI GPT models from the Claude interface

02Full compatibility with Codex CLI backend and triggers

03Configurable execution timeouts for complex prompt processing

04Support for planning mode to architect solutions before implementation

050 GitHub stars

06Integrated file system access for automated code editing and reading

Use Cases

01Cross-validating Claude's code suggestions with GPT for increased accuracy

02Automating multi-step coding tasks that benefit from secondary model verification

03Generating high-level implementation plans using GPT's specific reasoning patterns

Key Features

01Direct invocation of OpenAI GPT models from the Claude interface

02Full compatibility with Codex CLI backend and triggers

03Configurable execution timeouts for complex prompt processing

04Support for planning mode to architect solutions before implementation

050 GitHub stars

06Integrated file system access for automated code editing and reading

Use Cases

01Cross-validating Claude's code suggestions with GPT for increased accuracy

02Automating multi-step coding tasks that benefit from secondary model verification

03Generating high-level implementation plans using GPT's specific reasoning patterns