skills/54-scdenney-open-science-skills/skills/figure-table-audit/SKILL.md
Audit figures, tables, captions, cross-references, and statistical notes.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research figure-table-auditInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This is an original Open Science Skills workflow for manuscript QA. It remixes general figure/table and citation-compliance ideas from Cheng-I Wu's Academic Research Skills for Claude Code (CC BY-NC 4.0), but is rewritten for open-science social-science manuscripts. It is not a visual hallucination engine: when a claim requires reading plotted values from an image, prefer source data or mark the issue as needing author verification.
This is the end-stage auditor. For figure design and production guidance during drafting, use the figures skill; for table design, use the tables skill. Run figure-table-audit once the figure and table set is stable and you are preparing for submission.
Identify:
If only a PDF is available, state that cross-reference and value checks are lower confidence.
Build an inventory with:
Check:
For each figure/table used to support a substantive claim:
Do not infer exact values by eyeballing a plot unless the figure encodes labeled values. If source data are unavailable, write VISUAL READ ONLY - AUTHOR VERIFY.
Captions and table notes should let a reader understand the evidence without hunting:
For conjoint, list-experiment, topic-modeling, LLM-classification, and OCR studies, invoke or recommend the relevant sibling skill when table/figure interpretation depends on method-specific standards.
Flag:
Check whether:
Produce a Figure and Table Audit Report:
# Figure and Table Audit Report
Scope:
Inputs checked:
Build/source status:
Summary: <N blocking, N recommended, N minor, N author-verification>
## Inventory
| ID | Path/location | Caption/title | First callout | Source/script |
## Blocking Issues
| Location | Figure/table | Issue | Evidence | Fix |
## Recommended Fixes
| Location | Figure/table | Issue | Fix |
## Minor / Production Issues
| Figure/table | Issue | Fix |
## Author Verification Needed
| Figure/table | Why verification is needed |
## Readiness Checklist
| Dimension | PASS/FAIL/PARTIAL/NA | Notes |
Severity:
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".