Automate peer review of code changes with OpenAI Codex CLI.
npx skills add https://github.com/antoniocascais/claude-code-toolkit --skill codex-antoniocascais
Please help me install this Agent Skill. Skill: codex Source: https://github.com/antoniocascais/claude-code-toolkit/tree/main/skills/codex Command: npx skills add https://github.com/antoniocascais/claude-code-toolkit --skill codex-antoniocascais
Automates peer review of code changes using OpenAI Codex CLI to improve quality, consistency, and decision transparency.
Run codex CLI against your current changes to start a peer review: codex exec review --uncommitted "Review changes in the working tree focusing on quality, architecture, and trade-offs."
High-intent search queries and answers about installing and using this skill.
Automate peer review for code changes by running Codex CLI against your working tree to analyze diffs, propose alternative approaches, and document rationale. This structured review loop evaluates quality, architecture, and trade-offs.
Yes, you can use Codex CLI to evaluate significant diffs and refactoring risks. The review process flags potential issues in your code changes and highlights architectural trade-offs through up to three iterative review rounds.
Document rationale for architectural trade-offs by running a structured 3-round review loop with Codex CLI. This ensures thorough analysis by proposing alternative approaches and documenting the reasoning behind code decisions.
Yes, you need Codex CLI access to perform an iterative AI code review. The workflow also requires defined review prompts to execute the structured 3-round loop that analyzes uncommitted changes.
The 3-round review loop works by iteratively applying Codex CLI to your uncommitted changes. It repeatedly analyzes diffs, flags potential issues, and proposes alternative approaches to reach a clear consensus on architectural decisions.
Avoid using AI for peer review of code decisions if your changes do not involve significant diffs, architectural decisions, or refactors. The structured review loop is designed for evaluating complex trade-offs rather than minor updates.
ofelixdevExecute external LLM code reviews using Codex or Gemini CLIs.
HomericIntelligenceGenerate Architecture Decision Records with standardized templates and lifecycle statuses.
julianobarbosaReview code for quality, bugs, security issues, and best practices using Codex.
umbracoAnalyze pull requests for code quality, architectural compliance, and breaking changes.
