gpt-5-4-prompting

Compose Codex prompts using XML-structured blocks for precise, verifiable outputs.

Updated Mar 26, 2026
One-click install
npx skills add https://github.com/mrkhachaturov/rkstack --skill gpt-5-4-prompting-mrkhachaturov
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpt-5-4-prompting
Source: https://github.com/mrkhachaturov/rkstack/tree/main/skills/gpt-5-4-prompting
Command: npx skills add https://github.com/mrkhachaturov/rkstack --skill gpt-5-4-prompting-mrkhachaturov

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a disciplined, XML-based prompting framework for Codex / GPT-5.4 that defines tasks, output contracts, grounding, and verification to reduce ambiguity and drift in AI-generated results.

Core Features & Use Cases

  • Structured prompting blocks: Use the task, structured_output_contract, verification_loop, and grounding_rules blocks to define exact expectations for every run.
  • Grounding and safety: Integrates explicit grounding, citation, and missing-context rules to keep prompts auditable and safe.
  • Reusable across tasks: Well-suited for diagnosis, code review, research, and other prompting tasks that require repeatability and safety.
  • Use Case Example: Craft a prompt that requests a compact root-cause analysis with an explicit output contract and verification steps.

Quick Start

Provide a Codex prompt using the task, structured_output_contract, and verification_loop blocks to guide a diagnosis task.

Frequently Asked Questions about gpt-5-4-prompting

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

FAQPage Schema
How do I structure Codex prompts to reduce ambiguity and drift in AI-generated results?

Structure Codex prompts using XML blocks like task, structured_output_contract, verification_loop, and grounding_rules to define exact expectations. This XML-based prompting framework reduces ambiguity and drift by enforcing strict output contracts and grounding.

What is the best way to enforce safety and grounding in GPT-5.4 prompts?

Enforce safety and grounding in GPT-5.4 prompts by integrating explicit grounding rules, citation requirements, and missing-context rules within XML blocks. These structured blocks keep prompts auditable and ensure deterministic, verifiable outputs.

Can I reuse the same XML prompting framework for both code review and research tasks in Codex?

Yes, the XML prompting framework is reusable across tasks like code review, research, and diagnosis. By defining task and structured_output_contract blocks, you can adapt the same compact XML structure to various workflows requiring repeatability.

How do I set up a verification loop for a Codex prompt?

Set up a verification loop by including the verification_loop XML block in your Codex prompt alongside the task and structured_output_contract. This block defines explicit verification steps to ensure precise, verifiable outputs and adherence to completion contracts.

Does XML prompting work for generating compact root-cause analyses in GPT-5.4?

XML prompting works for generating compact root-cause analyses by requesting the analysis within a task block and defining the expected format using a structured_output_contract block. This approach ensures the output is precise and verifiable.