codex-review is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Independently validate the current analysis with a second model (OpenAI Codex). Codex re-derives the same answer from the same data — blind to Claude's SQL and numbers — and the skill reports AGREE / DISAGREE / PARTIAL per finding. Use when the user types "/codex-review", or says "validate with codex", "codex review", "second opinion from codex", "have the other model check this", "independently verify this analysis", "does codex agree", "cross-check this with gpt/codex", or wants a different mo.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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
…
Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
GET https://markdownregistry.com/api/v1/artifacts/art_tp6i7o2dr7movean
GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/codex-review
GET https://markdownregistry.com/api/v1/blob/d82cd3bf8c5fd7fb55eec7b4d8f62facff2ade3cb8599111e20ee75b22f6952a
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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