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Codex Claude Loop

Community
bear2u
codex-claude-loop

Orchestrates a dual-AI engineering loop where Claude Code plans and implements, while Codex validates and reviews, with continuous feedback for optimal code quality

Overview

Publisherbear2u
Repositorymy-skills
Skill namecodex-claude-loop
Stars
932
Forks
210
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by bear2u on GitHub. Read the source before you install it.

Installation

Install the Codex Claude Loop 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/bear2u/my-skills.git /tmp/my-skills
mkdir -p .claude/skills
cp -r /tmp/my-skills/skills/codex-claude-loop .claude/skills/codex-claude-loop
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codex Claude Loop 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 Codex Claude Loop 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 Codex Claude Loop 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.

Codex-Claude Engineering Loop Skill

Core Workflow Philosophy

This skill implements a balanced engineering loop:

  • Claude Code: Architecture, planning, and execution
  • Codex: Validation and code review
  • Continuous Review: Each AI reviews the other's work
  • Context Handoff: Always continue with whoever last cleaned up

Phase 1: Planning with Claude Code

  1. Start by creating a detailed plan for the task
  2. Break down the implementation into clear steps
  3. Document assumptions and potential issues
  4. Output the plan in a structured format

Phase 2: Plan Validation with Codex

  1. Ask user (via AskUserQuestion):
    • Model: gpt-5 or gpt-5-codex
    • Reasoning effort: low, medium, or high
  2. Send the plan to Codex for validation:
bash
   echo "Review this implementation plan and identify any issues:
   [Claude's plan here]
   
   Check for:
   - Logic errors
   - Missing edge cases
   - Architecture flaws
   - Security concerns" | codex exec -m  --config model_reasoning_effort="" --sandbox read-only
  1. Capture Codex's feedback

Phase 3: Feedback Loop

If Codex finds issues:

  1. Summarize Codex's concerns to the user
  2. Refine the plan based on feedback
  3. Ask user (via AskUserQuestion): "Should I revise the plan and re-validate, or proceed with fixes?"
  4. Repeat Phase 2 if needed

Phase 4: Execution

Once the plan is validated:

  1. Claude implements the code using available tools (Edit, Write, Read, etc.)
  2. Break down implementation into manageable steps
  3. Execute each step carefully with proper error handling
  4. Document what was implemented

Phase 5: Cross-Review After Changes

After every change:

  1. Send Claude's implementation to Codex for review:
    • Bug detection
    • Performance issues
    • Best practices validation
    • Security vulnerabilities
  2. Claude analyzes Codex's feedback and decides:
    • Apply fixes immediately if issues are critical
    • Discuss with user if architectural changes needed
    • Document decisions made

Phase 6: Iterative Improvement

  1. After Codex review, Claude applies necessary fixes
  2. For significant changes, send back to Codex for re-validation
  3. Continue the loop until code quality standards are met
  4. Use codex exec resume --last to continue validation sessions:
bash
   echo "Review the updated implementation" | codex exec resume --last

Note: Resume inherits all settings (model, reasoning, sandbox) from original session

Recovery When Issues Are Found

When Codex identifies problems:

  1. Claude analyzes the root cause
  2. Implements fixes using available tools
  3. Sends updated code back to Codex for verification
  4. Repeats until validation passes

When implementation errors occur:

  1. Claude reviews the error/issue
  2. Adjusts implementation strategy
  3. Re-validates with Codex before proceeding

Best Practices

  • Always validate plans before execution
  • Never skip cross-review after changes
  • Maintain clear handoff between AIs
  • Document who did what for context
  • Use resume to preserve session state

Command Reference

PhaseCommand PatternPurpose
Validate planecho "plan" | codex exec --sandbox read-onlyCheck logic before coding
ImplementClaude uses Edit/Write/Read toolsClaude implements the validated plan
Review codeecho "review changes" | codex exec --sandbox read-onlyCodex validates Claude's implementation
Continue reviewecho "next step" | codex exec resume --lastContinue validation session
Apply fixesClaude uses Edit/Write toolsClaude fixes issues found by Codex
Re-validateecho "verify fixes" | codex exec resume --lastCodex re-checks after fixes

Error Handling

  1. Stop on non-zero exit codes from Codex
  2. Summarize Codex feedback and ask for direction via AskUserQuestion
  3. Before implementing changes, confirm approach with user if:
    • Significant architectural changes needed
    • Multiple files will be affected
    • Breaking changes are required
  4. When Codex warnings appear, Claude evaluates severity and decides next steps

The Perfect Loop

Plan (Claude) → Validate Plan (Codex) → Feedback →
Implement (Claude) → Review Code (Codex) →
Fix Issues (Claude) → Re-validate (Codex) → Repeat until perfect

This creates a self-correcting, high-quality engineering system where:

  • Claude handles all code implementation and modifications
  • Codex provides validation, review, and quality assurance

Frequently asked questions

What does the Codex Claude Loop AI skill do?

Orchestrates a dual-AI engineering loop where Claude Code plans and implements, while Codex validates and reviews, with continuous feedback for optimal code quality

Why use Codex Claude Loop on TypingMind?

Because you install it once and use it with any model. Codex Claude Loop 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 Codex Claude Loop in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bear2u/my-skills/tree/master/skills/codex-claude-loop. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Codex Claude Loop?

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 Codex Claude Loop?

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

Is the Codex Claude Loop AI skill free?

It is published on GitHub by bear2u. 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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