Gpt 5 4 PromptingSAFE
Use Codex from Claude Code to review code or delegate tasks.
Overview
Use Codex from Claude Code to review code or delegate tasks.
9c936ab7121aOBSERVED · 2026-10-22Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned | |
| codex | mentioned |
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).
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.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (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.
9c936ab7121afull audit observations/trust-audit/skill/openai__gpt-5-4-prompting.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-22 | 9c936ab7121a | SAFE | B | 89 | first audit |
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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