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.