gpt-5-4-prompting — Claude Code skill: prompts
This skill structures Codex and GPT-5.4 prompts for coding, review, diagnosis, and research work.
npx skills add openai/codex-plugin-cc --skill gpt-5-4-prompting -a claude-codeWhat gpt-5-4-prompting does
gpt-5-4-prompting helps compose compact prompts for Codex and GPT-5.4-based workflows. It separates the task, output contract, default follow-through, verification, and evidence rules. XML tags keep the prompt structure stable.
For coding and debugging, the skill recommends completeness_contract, verification_loop, and missing_context_gating. Reviews use grounding_rules, structured_output_contract, and dig_deeper_nudge; research tasks use research_mode and citation_rules. It also points to reusable prompt blocks, end-to-end recipes, and common antipatterns.
The skill is intended for internal use through codex:codex-rescue, so check how your workflow invokes it before relying on it. Use task --resume-last for a follow-up on the same Codex thread and send only the changed instruction.
What it helps with
- compose a prompt for an implementation task
- split unrelated requests into separate Codex runs
- define an exact Codex output shape
- add verification to debugging and risky fixes
- ground review findings in observed evidence
Example prompts for the agent
- Use `gpt-5-4-prompting` to draft a debugging prompt with a `verification_loop`.
- Build a local-change review prompt with `grounding_rules` and `structured_output_contract`.
- Continue the last Codex thread with `task --resume-last` and provide only the new instruction.
How to install gpt-5-4-prompting
1Skills CLI (Vercel)
npx skills add openai/codex-plugin-cc --skill gpt-5-4-prompting -a claude-code2Manually: put the files in place
~/.claude/skills/gpt-5-4-prompting/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/gpt-5-4-prompting/
1Skills CLI (Vercel)
npx skills add openai/codex-plugin-cc --skill gpt-5-4-prompting -a codex2Manually: put the files in place
.agents/skills/gpt-5-4-prompting/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add openai/codex-plugin-cc --skill gpt-5-4-prompting -a cursor2Manually: put the files in place
.cursor/skills/gpt-5-4-prompting/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install openai/codex-plugin-cc gpt-5-4-prompting2Manually: put the files in place
.github/skills/gpt-5-4-prompting/SKILL.md1Skills CLI (Vercel)
npx skills add openai/codex-plugin-cc --skill gpt-5-4-prompting -a gemini-cli2Platform CLI
gemini skills install https://github.com/openai/codex-plugin-cc --path plugins/codex/skills/gpt-5-4-promptingManually: put the files in place
.devin/skills/gpt-5-4-prompting/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add openai/codex-plugin-cc --skill gpt-5-4-prompting -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set3
The whole set →Similar
Questions about gpt-5-4-prompting
How do I install gpt-5-4-prompting in Claude Code?
Run npx skills add openai/codex-plugin-cc --skill gpt-5-4-prompting -a claude-code, then run npx skills add openai/codex-plugin-cc --skill gpt-5-4-prompting -a claude-code again. Use the resulting file at ~/.claude/skills/gpt-5-4-prompting/SKILL.md.
What does gpt-5-4-prompting do?
It helps build compact prompts for coding, review, diagnosis, and research. The skill defines XML blocks, output contracts, and verification rules.
When should I add verification_loop and grounding_rules?
Use verification_loop for coding, debugging, and risky fixes. Add grounding_rules for reviews and tasks where claims must stay tied to evidence.
Source text
SKILL.md · Apache-2.0
--- 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).
© openai · Apache-2.0 · openai/codex-plugin-cc