@claude-flow/codex
Integrates OpenAI Codex capabilities into Claude-flow workflows, enabling teams to leverage code generation and completion within existing automation pipelin…
Codex CLI integration for Ruflo (claude-flow) - OpenAI Codex platform adapter
- Generate boilerplate code for common backend patterns using OpenAI Codex
- Automate code completion suggestions within your existing development workflow
- Transform natural language descriptions into working code snippets instantly
Integrates OpenAI Codex capabilities into Claude-flow workflows, enabling teams to leverage code generation and completion within existing automation pipelines without building custom adapters.
Development teams using Claude-flow orchestration who need on-demand code generation integrated into CI/CD or local development workflows.
https://www.npmjs.com/package/@claude-flow/codex
By ruvnet
How to Get It
npx @claude-flow/codex
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate boilerplate code for common backend patterns using OpenAI Codex
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 65,945 GitHub stars; 37 contributors; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 65,945 GitHub stars; 37 contributors; last commit 0d ago; license MIT.