What is codex-review?

A second-model check of an analysis, in which OpenAI Codex independently recreates the result from the same data without seeing the first model's queries or numbers. It then marks each finding as agreeing, disagreeing, or partly agreeing.

Use it to cross-check important findings, metrics, or conclusions before acting on them, especially when you want a second opinion from another model.

A single analysis can contain a query, calculation, or interpretation error that looks plausible. An independent reconstruction helps reveal where the result needs investigation.

codex-review — Skill for Claude Code by ai-analyst-lab/ai-analyst

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst

agentmods

npx agentmods add skills/ai-analyst-lab/ai-analyst/codex-review

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/codex-review/github.svg)](https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/codex-review)

Your own site

<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/codex-review"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/codex-review/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/codex-review"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/codex-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 178 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,000 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00178	$0.03000
Opus 5.5	$0.00071	$0.01200
Sonnet 5.5	$0.00036	$0.00600
Haiku 4.5	$0.00018	$0.00300

Measured 1mo ago against content hash d82cd3bf8c5f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codex-review 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 1mo 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

1 near-identical copy found in the catalogue:

codex-review — 88% identical, 34 lines differ

.claude/skills/codex-review/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Codex review

Purpose

Have a second model (OpenAI Codex) independently re-derive the current analysis from the same data and compare it to Claude's original. Codex gets the question and the metric definitions, but never sees Claude's SQL, numbers, or conclusions — it writes its own queries and computes its own results. The skill then reconciles the two: AGREE, DISAGREE, or PARTIAL per finding. Two models agreeing from independent derivations is strong evidence the analysis is sound; a disagreement points to exactly where to look.

This pairs with /reliability (same model, run N times — tests stability). /codex-review uses a different model once — it tests correctness by independent agreement.

When to Use

User says /codex-review, "validate with codex", "codex review", "second opinion from codex", "independently verify this", "does codex agree", "cross-check with the other model"
After producing a finding the user is about to act on and wants a second model to confirm
Routed here whenever multi-model validation of an analytical result is wanted

Invocation

/codex-review [finding or artifact path] — validate the most recent analysis by default, or scope to a single finding/file if given. Example: /codex-review after answering "What's our 30-day retention?"

Instructions

⛔ HARD GATE — read before anything else

This skill is worthless unless a different model (Codex) does the validation. If Codex is not ready, you (Claude) MUST NOT perform the validation yourself. Claude re-checking Claude's analysis is circular — it produces a confident "validated ✓" that means nothing and actively misleads the student.

The rule: if Step 1's preflight returns a non-empty missing list, your ONLY job this turn is to help the student set up Codex. You may not proceed to Steps 2–7, and you may not substitute any other model, your own reasoning, a re-run of the SQL, or an "approximate" check. There is no fallback that uses Claude. Setup is the task when Codex is missing — completing it is the helpful outcome, not skipping ahead to a verdict.

Read the full file on GitHub · 214 lines

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.

1mo ago First seen · 214 lines · 178 tokens per session scan A d82cd3bf8c5f

Subscribe to this mod's changes

codex-review is a skill published in the GitHub repository ai-analyst-lab/ai-analyst (322 stars, last pushed 1mo ago), licensed MIT. It adds 178 tokens to every session and 3,000 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-09-12.

Analytics and metrics

codex-review next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
codex-reviewai-analyst-lab/ai-analyst	Skill	322	1mo ago	MIT	A	178	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code