skills/14-luischanci-claude-code-research-starter/dot-claude/skills/review-paper/SKILL.md
Comprehensive manuscript review covering argument structure, identification strategy, econometric specification, citation completeness, and potential referee objections.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research review-paperInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Produce a thorough referee-style review of an academic manuscript.
Identify the paper: Use $ARGUMENTS. Check master_supporting_docs/supporting_papers/ or the paper folder.
Evaluate across 6 dimensions (rate each 1-5):
Generate 3-5 likely referee objections with suggested responses.
Overall recommendation: Strong Accept / Accept / Revise & Resubmit / Reject.
Save report to quality_reports/paper_review_[sanitized_name].md.
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".