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Collaborate with Claude and GPT to review plans and iteratively refine code execution.
The material indicates an open-source, prompt-only skill with no declared secrets, remote endpoints, or local installation/execution steps, so overall risk appears low. The description mentions collaborative code execution, but the provided material does not substantiate actual execution or exfiltration capability, so the assessment remains low with minor caution.
The material explicitly states there are no required keys or environment variables. No API tokens, account credentials, or other sensitive authentication data are requested, so credential exposure risk appears low based on the provided material.
The material explicitly lists no remote endpoints, and it is classified as prompt-only. There is no stated behavior indicating user data is sent to third-party services or unknown hosts.
The description mentions 'orchestrated code execution,' suggesting it may guide a host agent to run code or commands. However, there is no README, installation procedure, or concrete system-call detail in the provided material, so this warrants caution as a normal capability rather than a high-risk finding.
The provided material does not state that it can directly read or write local files, databases, or other resources, nor does it request additional data permissions. As a prompt-only skill, no data access beyond normal conversational context is described.
The source is an open-source GitHub repository, which improves auditability, and it has some community adoption (61 stars), both of which lower risk. However, the missing license, unknown maintenance status, and absent README reduce supply-chain transparency and warrant caution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "claude-gpt-workflow" yet — see the docs or source repo.
First have Claude produce a feature development plan, then ask GPT to adversarially review it for risks, edge cases, and maintainability, and finally merge both into an actionable implementation plan.
An implementation plan cross-reviewed by both models, including risks, revisions, and execution steps.
Based on this requirement, have Claude write the first version of the code and explain the design, then ask GPT to review defects and improvement points, and iteratively revise it until it passes: build an API client with retries and logging.
Refined code after multiple iterations, plus a summary of key review comments and final improvements.
Have Claude plan the execution steps for a code refactoring task, run them step by step, pass the results to GPT to analyze failures and suggest fixes, then let Claude continue with the next repair round.
A closed-loop workflow result containing execution logs, failure analysis, fix suggestions, and next actions.
Use Claude skills to automate Git, testing, and code review workflows.
Enhance coding workflows with testing, reviews, automation, and multi-LLM delegation.
Production-ready Claude Code workflows powered by specialized AI agents.
Adds reusable Claude Code workflows with agents, skills, hooks, and commands.
Brainstorm with multiple LLMs before presenting an implementation plan to users.
Understand your codebase in terminal and accelerate coding with natural language.