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chaseai-ytAI coding assistant for plan hardening and validation
Top 55.9% on SourcePulse
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
~/.claude/skills/ on macOS/Linux, $env:USERPROFILE.claude\skills\ on Windows PowerShell).npm install -g @openai/codex@latest).codex login; ChatGPT account sufficient)./grill-me-codex.https://github.com/mattpocock/skills.Highlighted Details
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.
3 days ago
Inactive