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Use Codex from Claude Code to review code or delegate tasks.
This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.
75
review score
Problem solved
It bridges Claude Code and OpenAI Codex, allowing developers to leverage both AI tools without switching contexts, solving the fragmentation of AI-assisted coding workflows.
Deployment reality
The available setup signal starts with: Install via npm: `npm install @openai/codex-plugin-cc`. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is Apache-2.0. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
Developers can build workflows where Claude Code delegates code review or generation tasks to Codex, enabling multi-model collaboration for complex code analysis, refactoring, and automated task execution.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
openai/codex-plugin-cc is tracked as a JavaScript project in the Automation area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 31k total stars, with +0 today, +0 this week, and +7.7k this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Moderate; the latest push was 98 days ago, and the open issue queue is 407, about 1.30% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 2.1k forks and 31k watchers suggest how often the project is reused or followed. License signal: Apache-2.0. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need JavaScript teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 1 explicit source reference(s) for this report and a recent growth signal of 7.7k. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
LimitedNeeds clearer source references.
License
ReadyApache-2.0 is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
31k Stars
Reuse
2.1k Forks
Attention
31k Watchers
Maintenance
moderate
License
Apache-2.0
Open issues
407
This project provides a plugin that allows Claude Code to interact with OpenAI's Codex, enabling code review and task delegation through a natural language interface.
Automation
Workflow automation, integration glue, and orchestration
Install via npm: `npm install @openai/codex-plugin-cc`70
Health Score
Moderate
Commit Activity
Mar 30, 2026
Created
Jul 8, 2026
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
openai
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✓
License
✓
Forked
~ Moderate
Maintained
Problem Solved
It bridges Claude Code and OpenAI Codex, allowing developers to leverage both AI tools without switching contexts, solving the fragmentation of AI-assisted coding workflows.
Capabilities
Developers can build workflows where Claude Code delegates code review or generation tasks to Codex, enabling multi-model collaboration for complex code analysis, refactoring, and automated task execution.
Bottom Line
This plugin is for developers already using Claude Code who want to integrate Codex's capabilities. It's not for those seeking a standalone tool. The key trade-off is dependency on both AI services.