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Grill Me Codex

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chaseai-yt
grill-me-codex

SUPERSEDED by /claudex-loop (formerly /crucible; adds a Phase 0 research/recon pass + rebuilt interview) — prefer that skill unless you explicitly want this one. Two-act plan hardening. ACT 1 (you ↔ Claude) — Claude interviews you relentlessly about a plan or design, one question at a time, recommending an answer for each and exploring the codebase when it can answer itself, until every branch of the decision tree is resolved. ACT 2 (Claude ↔ Codex) — Claude writes the locked plan to PLAN.md and OpenAI Codex adversarially reviews it in a read-only sandbox (VERDICT:APPROVED/REVISE), Claude revises and re-submits to the SAME Codex session until APPROVED or a MAX_ROUNDS cap, then you sign off before any code. Use when the user says "/grill-me-codex", "grill me then have codex review", "grill me and stress-test the plan", "interview me about this plan then get a second model on it", or is about to build something high-stakes (auth, schema, concurrency, migrations, payments) and wants both alignment AND a cross-model sanity check before implementation. Builds on Matt Pocock's grill-me (MIT). For the docs-aware variant use /grill-with-docs-codex; if you already have a plan and want only the Codex review use /codex-review. NOT for reviewing already-written code (use /codex:review) and NOT for trivial changes.

Overview

Publisherchaseai-yt
Repositoryclaudex-loop
Skill namegrill-me-codex
Stars
2.1K
Forks
206
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by chaseai-yt on GitHub. Read the source before you install it.

Installation

Install the Grill Me Codex AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/chaseai-yt/claudex-loop.git /tmp/claudex-loop
mkdir -p .claude/skills
cp -r /tmp/claudex-loop/legacy/grill-me-codex .claude/skills/grill-me-codex
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Grill Me Codex in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Grill Me Codex on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Grill Me Codex is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Grill-Me-Codex — Get Grilled, Then Get Reviewed

Two acts, two different jobs:

  • Act 1 fixes the #1 failure mode: building the wrong thing. Claude interrogates you until intent is locked — no guessing at ambiguity. (This act is Matt Pocock's grill-me, used under MIT — see THIRD-PARTY-NOTICES.md.)
  • Act 2 fixes the #2 failure mode: a plan that sounds right but breaks. A different model (Codex) adversarially attacks the locked plan. Cross-model = no echo chamber.

You enter at two points only: answering the grill, and signing off the converged plan. Codex is read-only the whole time and never touches a file.


ACT 1 — GRILL (you ↔ Claude)

Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.

Ask the questions one at a time, waiting for my answer before continuing.

If a question can be answered by exploring the codebase, explore the codebase instead.

When the decision tree is resolved and we're aligned, write the agreed plan to PLAN.md in this structure, then move to Act 2:

markdown
# Plan: <task>
_Locked via grill — by Claude + <user>_

## Goal
<one paragraph  reflects what the grilling actually settled>

## Approach
<numbered, concrete steps>

## Key decisions & tradeoffs
<the contestable choices the grill resolved  name them so Codex has something to bite>

## Risks / open questions
<anything still genuinely open>

## Out of scope
<bounds the grill established>

Initialize PLAN-REVIEW-LOG.md:

markdown
# Plan Review Log: <task>
Act 1 (grill) complete — plan locked with the user. MAX_ROUNDS=<n>.

ACT 2 — REVIEW (Claude ↔ Codex)

Now hand the locked plan to Codex for adversarial review. Same engine, mechanics verified end-to-end (2026-06-04).

Prerequisites (verify once, fast)

  • codex --version ≥ 0.130 (older CLIs error on the default gpt-5.5 model).
  • Codex authenticated (prior codex login; ChatGPT account is fine). On auth/model error, surface it — don't silently retry.
  • Do NOT pin -m. Use the config default. Pinning gpt-5.x-codex variants 400s on ChatGPT-account auth.
  • Echo the active model before Round 1 so the user can confirm: read the model line from ~/.codex/config.toml (if absent, report "CLI default"). State it alongside the resolved tunables, e.g. Reviewer model: CLI default (config unpinned) — codex-cli 0.137.0. If the user objects, stop and let them adjust config before burning a review round.

Tunables (read from args, else default)

VarDefaultMeaning
MAX_ROUNDS5Hard cap on review rounds. The loop ALWAYS terminates here.
PLAN_FILEPLAN.mdThe plan Act 1 produced.
LOG_FILEPLAN-REVIEW-LOG.mdAppend-only argument transcript. The artifact.

If invoked with e.g. rounds=3, use that for MAX_ROUNDS. Echo resolved values before starting.

The review prompt (sent each round)

You are an adversarial reviewer for an implementation plan. Be skeptical and specific — your job is to find what breaks, not to be agreeable. Read the plan at PLAN.md and any repo files you need (you are read-only). Identify concrete flaws: security holes, race conditions, missing edge cases, schema conflicts, wrong assumptions, observability gaps, simpler alternatives. For each, give a one-line fix. Do NOT modify any files. End your reply with EXACTLY one line: VERDICT: APPROVED if the plan is sound enough to implement, or VERDICT: REVISE if it still has material problems.

Round 1 — fresh session (capture thread_id)

bash
codex exec -s read-only --json -o /tmp/codex-verdict.txt "$(cat REVIEW_PROMPT)" \
  < /dev/null 2>/dev/null | grep '"type":"thread.started"'

Parse thread_id from the {"type":"thread.started","thread_id":"..."} line → that's THREAD_ID. The critique is in /tmp/codex-verdict.txt. Confirm success by the verdict file + a thread.started line; if neither appears, the run failed (auth/model) — stop and tell the user. 2>/dev/null suppresses cosmetic MCP/auth stderr noise. < /dev/null is mandatory: codex exec reads stdin in addition to the prompt arg, so under a non-interactive driver (Claude Code's Bash tool, CI, any non-TTY pipeline) it blocks forever waiting on stdin EOF — a silent ~0% CPU hang. The redirect gives it immediate EOF.

Rounds 2..MAX — resume the SAME session (Codex remembers its prior critiques)

bash
# resume REJECTS -s. Force read-only via -c sandbox_mode, or Codex inherits
# config.toml (possibly danger-full-access) and could WRITE files. This is the
# single most important safety line in the skill — verified 2026-06-04.
codex exec resume "$THREAD_ID" -c sandbox_mode="read-only" --json \
  -o /tmp/codex-verdict.txt \
  "I revised the plan. Re-review PLAN.md — check whether your prior findings are addressed and flag anything new. End with VERDICT: APPROVED or VERDICT: REVISE." \
  < /dev/null 2>/dev/null >/dev/null

Both codex exec and codex exec resume support --json and -o/--output-last-message. The < /dev/null redirect is required on the resume call too — same non-interactive stdin hang as Round 1.

Timeout guard (both rounds): run every codex exec / codex exec resume with a 10-minute ceiling so any future stall fails loud instead of hanging silently. Via Claude Code's Bash tool, pass timeout: 600000 on the tool call (the default 2-minute tool timeout is too short for real reviews and would kill them mid-run). In a plain shell, prefix the command with timeout 600 (Linux / Git Bash) or gtimeout 600 (macOS via coreutils — stock macOS has no timeout). If the ceiling trips, treat it as a failed run: stop and tell the user rather than retrying blind.

Each round, after Codex returns

  1. Read /tmp/codex-verdict.txt; append to LOG_FILE: ## Round <n> — Codex + the full critique.
  2. Grep the last line for the verdict:
    • VERDICT: APPROVED → break to Resolution (converged).
    • VERDICT: REVISE → Claude decides what's actually worth acting on (Claude is final arbiter — Codex advises, doesn't command). Revise PLAN_FILE. Append ### Claude's response to LOG_FILE: what changed, what was rejected, why. Increment round.
  3. If round > MAX_ROUNDS → break to Resolution (deadlock).

Resolution (you sign off — final gate)

  • APPROVED: present the final PLAN_FILE, a 3-bullet summary of what the two acts improved, and the round count. Ask: "Grilled + survived N rounds of Codex. Implement it now — Codex builds it (/codex-build), Claude builds it, or stop here?" Code only on a yes. No code is written during either act.
  • MAX_ROUNDS hit without APPROVED (deadlock): do NOT fake convergence. List each unresolved point + Claude's counter-position; hand it to the user to break the tie. A flagged disagreement beats a false "approved."

ACT 3 (optional) — BUILD (Codex ↔ Claude, roles flipped)

If the user picks Codex: invoke the codex-build skill with SPEC_FILE=PLAN.md and the same LOG_FILE — it appends ## Act 3 — Build to the log, so one artifact tells the whole story (grilled → reviewed → built → verified). Roles flip: Codex writes the code with full access, Claude reviews the diff and runs the proof. If the user picks Claude, implement directly as usual.


Hard rules

  • Act 1 always precedes Act 2 — don't write PLAN.md until the grill has actually resolved the decision tree with the user.
  • Codex is read-only EVERY round — -s read-only first call, -c sandbox_mode="read-only" on every resume (resume has no -s). It never writes.
  • The loop ALWAYS terminates at MAX_ROUNDS.
  • Claude is final arbiter on every REVISE — incorporate good critiques, reject bad ones with a logged reason. Don't cave to everything (defeats the cross-model check) and don't ignore it (defeats the point).
  • Code only after the user's final sign-off.
  • LOG_FILE is the deliverable — keep the whole argument.

What NOT to do

  • Don't review already-written code — that's /codex:review.
  • Don't pin a -codex model variant on ChatGPT-account auth — it 400s.
  • Don't let Codex edit files. Read-only, always.
  • Don't skip Act 1 — the grill is half the value.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Grill Me Codex AI skill do?

SUPERSEDED by /claudex-loop (formerly /crucible; adds a Phase 0 research/recon pass + rebuilt interview) — prefer that skill unless you explicitly want this one. Two-act plan hardening. ACT 1 (you ↔ Claude) — Claude interviews you relentlessly about a plan or design, one question at a time, recommending an answer for each and exploring the codebase when it can answer itself, until every branch of the decision tree is resolved. ACT 2 (Claude ↔ Codex) — Claude writes the locked plan to PLAN.md and OpenAI Codex adversarially reviews it in a read-only sandbox (VERDICT:APPROVED/REVISE), Claude r...

Why use Grill Me Codex on TypingMind?

Because you install it once and use it with any model. Grill Me Codex is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Grill Me Codex in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chaseai-yt/claudex-loop/tree/main/legacy/grill-me-codex. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Grill Me Codex?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Grill Me Codex?

As many as you like. As long as a model supports skills, you can use Grill Me Codex with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Grill Me Codex AI skill free?

It is published on GitHub by chaseai-yt. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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