grill-me-codex  by chaseai-yt

AI coding assistant for plan hardening and validation

Created 1 month ago
568 stars

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Project Summary

grill-me-codex addresses critical gaps in AI-assisted coding by ensuring user-AI plan alignment and validating output quality. It targets developers seeking robust AI-driven planning, offering a novel adversarial review process to prevent echo chambers and enhance plan correctness before code generation.

How It Works

The system employs a two-act adversarial approach. Act 1 involves Claude interrogating the user to lock down a plan. Act 2 then hands this plan to OpenAI Codex, a rival model, which iteratively critiques and tears apart the plan over several rounds. Claude revises based on Codex's feedback until both models approve, ensuring a plan stress-tested by an independent AI perspective. This cross-provider review catches structural flaws Claude might overlook in its own planning.

Quick Start & Requirements

  • Install: Copy skill folders into your Claude Code skills directory (~/.claude/skills/ on macOS/Linux, $env:USERPROFILE.claude\skills\ on Windows PowerShell).
  • Prerequisites:
    • Codex CLI version 0.130+ (npm install -g @openai/codex@latest).
    • Authenticated Codex account (codex login; ChatGPT account sufficient).
    • Default model configuration in Codex (skills use default, not pinned variants).
  • Usage: Invoke via Claude Code commands like /grill-me-codex.
  • Links: Matt Pocock's original skills: https://github.com/mattpocock/skills.

Highlighted Details

  • Dual-Model Adversarial Review: Leverages OpenAI Codex to critically review Claude's plans, preventing self-confirmation bias.
  • Iterative Plan Hardening: The plan undergoes multiple rounds of adversarial critique and revision between Claude and Codex.
  • Safety First: Codex operates in read-only sandbox mode; no code generated until user approval.
  • Artifact Generation: Produces PLAN.md (final plan) and PLAN-REVIEW-LOG.md (review transcript).

Maintenance & Community

Act 1 skills originate from Matt Pocock's MIT-licensed work. Act 2 and packaging are by Chase AI. Further learning is available via the Chase AI+ Claude Code Masterclass.

Licensing & Compatibility

The core components are licensed under MIT, which is permissive for commercial use and closed-source linking.

Limitations & Caveats

Setup requires specific Codex CLI versions and authentication. The system relies on the user's default Codex model configuration, as specific variants are rejected. The adversarial loop has a default maximum of 5 rounds, terminating on approval or deadlock.

Health Check
Last Commit

3 days ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
1
Star History
392 stars in the last 30 days

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