Publication QA
SkillDev toolsReview regression outputs, tables, and graphs for publication readiness. Use when the user asks whether a result is ready for a paper, appendix, seminar, referee response, or coauthor review.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Publication QA skill
What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/64-tmonk-mcp-stata/skills/stata-publication-qa/SKILL.md and read by ahel’s review.
Use this skill when editorial quality matters.
- Re-run or inspect the relevant model or graph.
- Review statistical clarity, labeling, sample consistency, and visual presentation.
- Distinguish required fixes from optional polish.
Read references/checklist.md for the review checklist and use scripts/graph_qa_checklist.py when generating a graph-specific QA pass.
Signals
- GitHub stars
- 4k
- Forks
- 531
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
stata-publication-qa- Source
- github.com/brycewang-stanford/auto-empirical-research-skills