research-review
Research Review via Codex MCP (xhigh reasoning)
Get a multi-round critical review of research work from an external LLM with maximum reasoning depth.
Constants
- REVIEWER_MODEL =
gpt-5.4— Model used via Codex MCP. Must be an OpenAI model (e.g.,gpt-5.4,o3,gpt-4o) - REVIEWER_BACKEND =
codex— Default: Codex MCP (xhigh). Override with— reviewer: oracle-profor GPT-5.4 Pro via Oracle MCP. Seeshared-references/reviewer-routing.md.
Context: $ARGUMENTS
Prerequisites
- Codex MCP Server configured in Claude Code:
claude mcp add codex -s user -- codex mcp-server - This gives Claude Code access to
mcp__codex__codexandmcp__codex__codex-replytools
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Full research pipeline: Workflow 1 (idea discovery) → implementation → Workflow 2 (auto review loop) → Workflow 3 (paper writing, optional). Goes from a broad research direction all the way to a polished PDF. Use when user says \"全流程\", \"full pipeline\", \"从找idea到投稿\", \"end-to-end research\", or wants the complete autonomous research lifecycle.
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Generate publication-quality figures and tables from experiment results. Use when user says \"画图\", \"作图\", \"generate figures\", \"paper figures\", or needs plots for a paper.
130