codex-oracle

To delegate complex reasoning and architecture planning, you structure a clear prompt and pass it to the Codex Oracle script, which forwards the request to the GPT-5.2-Codex model for extended analysis and deterministic outcomes.

Yes, you can use GPT-5.2-Codex for deep debugging and root-cause analysis by invoking the script with your specific debugging prompt, leveraging the model's extended reasoning effort controls for thorough investigation.

The best way to run multi-step planning and large refactors is executing the call-openai shell script with your prompt, specifying the desired model and reasoning effort parameters to guide the analysis depth.

You need a structured prompt format specifying your code review requirements to get deterministic outcomes, passing the prompt to the script along with optional model and reasoning effort arguments for precise control.

This approach works without external dependencies for algorithm design, as the Skill only requires a shell script invocation to communicate with the model API, needing no additional libraries or modules.

You should not use an extended reasoning model for simple prompt engineering tasks or straightforward code generation that does not require complex evaluation, synthesis, or multi-step investigative analysis to avoid unnecessary overhead.