Coordinate parallel Codex code reviews with human approval before commit.
npx skills add https://github.com/corygabrielsen/skills --skill loop-codex-review
Please help me install this Agent Skill. Skill: loop-codex-review Source: https://github.com/corygabrielsen/skills/tree/main/loop-codex-review Command: npx skills add https://github.com/corygabrielsen/skills --skill loop-codex-review
This skill streamlines rigorous code reviews by coordinating parallel Codex analyses and human oversight to reach a fixed point with minimal ambiguity.
Enter loop-codex-review mode, parse args for review mode and starting level (default: low) and launch n parallel codex review commands via Bash tool with run_in_background: true. All n must be clean to advance to the next level. Always set -c model_reasoning_effort explicitly. Do NOT perform the review yourself — delegate to Codex via the CLI. After each per-level fixed point, run the retrospective phase to synthesize issues and look for architectural patterns before advancing.
High-intent search queries and answers about installing and using this skill.
You can run parallel code reviews with Codex and Claude by launching multiple Codex CLI instances in the background, using Claude agents to address issues, and requiring all reviews to be clean before advancing.
Progressive reasoning in automated code reviews is a multi-level analysis approach that escalates from low to xhigh reasoning effort, ensuring a fixed point is reached with minimal ambiguity before human approval.
You can automate pre-PR code reviews by delegating the analysis to Codex via the CLI, running n parallel background commands, and orchestrating retrospective synthesis to find architectural patterns before committing.
Yes, you can configure the number of parallel Codex review agents using the -n argument, and you must explicitly set the model reasoning effort with the -c flag to control the analysis depth.
Human approval before committing is required to ensure oversight after the parallel Codex reviews and Claude agent fixes reach a fixed point, minimizing ambiguity while maintaining developer accountability.
A retrospective synthesis phase in code review workflows is a process run after each per-level fixed point to synthesize issues across multiple parallel Codex reviews and identify broader architectural patterns before advancing.
skills-directoryInvoke Codex CLI to analyze, refactor, and edit codebases.
arpitnathAutomate pre-commit code reviews with structured feedback and blocking commits.
DbillionaerDelegate coding, code review, and refactoring tasks to AI agents.
AndurilCodeTriage problems and route them to reasoning frameworks and subagents.
