Atlas / Skills / openai / Gpt 5 4 Prompting

Gpt 5 4 PromptingSAFE

skills/openai/gpt-5-4-prompting

Use Codex from Claude Code to review code or delegate tasks.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
2 documented
License
Apache-2.0
Stars
34,452
01

Overview

Use Codex from Claude Code to review code or delegate tasks.

Read from source at commit 9c936ab7121aOBSERVED · 2026-10-22
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02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
codexmentioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
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).
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-22 · audit v0.4.1 · source sha 9c936ab7121afull audit observations/trust-audit/skill/openai__gpt-5-4-prompting.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-229c936ab7121aSAFEB89first audit
06

Questions

What does the gpt-5-4-prompting — openai/codex-plugin-cc skill do?

Use Codex from Claude Code to review code or delegate tasks.

Is gpt-5-4-prompting — openai/codex-plugin-cc safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can gpt-5-4-prompting — openai/codex-plugin-cc access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does gpt-5-4-prompting — openai/codex-plugin-cc work with?

Its documentation mentions claude-code and codex. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (9c936ab7121a), read on 2026-10-22. The repository is watched, and a new audit runs when it changes — this is the first audit.

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