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gpt-5-4-prompting

Internal guidance for composing Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks inside the Codex Claude Code plugin

ソース情報

リポジトリ
openai/codex-plugin-cc
ソースの最終更新活動
2026年3月30日 16:42
検出された SKILL.md の言語
英語
スター
34,080
フォーク
2,390

インストール方法

デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。

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インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。

ファイルエクスプローラー
4 ファイル

SKILL.md を表示中

SKILL.md
ソースの指示 · 読み取り専用プレビュー
name
gpt-5-4-prompting
description
Internal guidance for composing Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks inside the Codex Claude Code plugin
user-invocable
false
# 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](references/prompt-blocks.md). Concrete end-to-end templates live in [references/codex-prompt-recipes.md](references/codex-prompt-recipes.md). Common failure modes to avoid live in [references/codex-prompt-antipatterns.md](references/codex-prompt-antipatterns.md).
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