gpt-5-4-prompting

gpt-5-4-prompting is a skill for Claude Code from openai/codex-plugin-cc. It costs 40 tokens per session (778 once invoked), scanned A, original, Apache-2.0.

Guidance for writing compact prompts for Codex and GPT-5.4-based coding, review, diagnosis, and research tasks.

In plain words
What is it for?
Use it when preparing prompts for code changes, reviews, troubleshooting, or research inside the Codex Claude Code plugin.
Why use it?
It helps make the requested job, expected answer, constraints, and checks clear so the coding assistant knows when it is done.

Skill for Claude Code ✓ vendor

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions Claude Code; mentions Codex.

Part of the codex plugin — 3 skills, 8 commands, 1 agent, 3 hooks shipped together

Good fit Use it when preparing prompts for code changes, reviews, troubleshooting, or research inside the Codex Claude Code plugin.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openai/codex-plugin-cc/gpt-5-4-prompting
About the project

Codex plugin for Claude Code brings Codex into Claude Code so users can request code reviews or delegate tasks from that existing workflow. It is for Claude Code users with a ChatGPT subscription or OpenAI API key who want commands for reviews, handoffs, background jobs, and session management. The catalogue entries are the plugin's commands, skills, hooks, and agent.

openai/codex-plugin-cc · 32,896 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add openai/codex-plugin-cc --skill gpt-5-4-prompting
Clone the repo
git clone --depth 1 https://github.com/openai/codex-plugin-cc

Made for: Claude Code.

Or install codex, the plugin that ships this one along with the rest of its 3 skills, 8 commands, 1 agent, 3 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gpt-5-4-prompting

README.md
[![agentmods](https://agentmods.dev/badge/skills/openai/codex-plugin-cc/gpt-5-4-prompting/github.svg)](https://agentmods.dev/skills/openai/codex-plugin-cc/gpt-5-4-prompting)
Your own site
<a href="https://agentmods.dev/skills/openai/codex-plugin-cc/gpt-5-4-prompting"><img src="https://agentmods.dev/badge/skills/openai/codex-plugin-cc/gpt-5-4-prompting/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gpt-5-4-prompting

Your own site · 80×15
<a href="https://agentmods.dev/skills/openai/codex-plugin-cc/gpt-5-4-prompting"><img src="https://agentmods.dev/badge/skills/openai/codex-plugin-cc/gpt-5-4-prompting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 778 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Snyk pass 30 Mar 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00778
Opus 5 $0.00020 $0.00389
Sonnet 5 $0.00008 $0.00156
Haiku 4.5 $0.00004 $0.00078

Measured 9d ago against content hash 48222490b629, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

gpt-5-4-prompting scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

plugins/codex/skills/gpt-5-4-prompting/SKILL.md · 55 lines

What it actually says

GPT-5.4 Prompting

Use this skill when codex:codex-rescue needs to ask Codex or another GPT-5.4-based workflow for help.

Prompt Codex like an operator, not a collaborator. Keep prompts compact and block-structured with XML tags. State the task, the output contract, the follow-through defaults, and the small set of extra constraints that matter.

Core rules:

  • Prefer one clear task per Codex run. Split unrelated asks into separate runs.
  • Tell Codex what done looks like. Do not assume it will infer the desired end state.
  • Add explicit grounding and verification rules for any task where unsupported guesses would hurt quality.
  • Prefer better prompt contracts over raising reasoning or adding long natural-language explanations.
  • Use XML tags consistently so the prompt has stable internal structure.

Default prompt recipe:

  • <task>: the concrete job and the relevant repository or failure context.
  • <structured_output_contract> or <compact_output_contract>: exact shape, ordering, and brevity requirements.
  • <default_follow_through_policy>: what Codex should do by default instead of asking routine questions.
  • <verification_loop> or <completeness_contract>: required for debugging, implementation, or risky fixes.
  • <grounding_rules> or <citation_rules>: required for review, research, or anything that could drift into unsupported claims.

When to add blocks:

  • Coding or debugging: add completeness_contract, verification_loop, and missing_context_gating.
  • Review or adversarial review: add grounding_rules, structured_output_contract, and dig_deeper_nudge.
  • Research or recommendation tasks: add research_mode and citation_rules.
  • Write-capable tasks: add action_safety so Codex stays narrow and avoids unrelated refactors.

How to choose prompt shape:

  • Use built-in review or adversarial-review commands when the job is reviewing local git changes. Those prompts already carry the review contract.
  • Use task when the task is diagnosis, planning, research, or implementation and you need to control the prompt more directly.
  • Use task --resume-last for follow-up instructions on the same Codex thread. Send only the delta instruction instead of restating the whole prompt unless the direction changed materially.

Working rules:

  • Prefer explicit prompt contracts over vague nudges.
  • Use stable XML tag names that match the block names from the reference file.
  • Do not raise reasoning or complexity first. Tighten the prompt and verification rules before escalating.
  • Ask Codex for brief, outcome-based progress updates only when the task is long-running or tool-heavy.
  • Keep claims anchored to observed evidence. If something is a hypothesis, say so.

Prompt assembly checklist:

  1. Define the exact task and scope in <task>.
  2. Choose the smallest output contract that still makes the answer easy to use.
  3. Decide whether Codex should keep going by default or stop for missing high-risk details.
  4. Add verification, grounding, and safety tags only where the task needs them.
  5. Remove redundant instructions before sending the prompt.

Reusable blocks live in references/prompt-blocks.md. Concrete end-to-end templates live in references/codex-prompt-recipes.md. Common failure modes to avoid live in references/codex-prompt-antipatterns.md.

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 55 lines · 40 tokens per session scan A 48222490b629

Subscribe to this mod's changes

gpt-5-4-prompting is a skill published in the GitHub repository openai/codex-plugin-cc (32,896 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 778 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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