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
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.