skills/54-scdenney-open-science-skills/skills/citation-check/SKILL.md
Audit in-text/reference parity, DOIs, claim support, and citation style.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research citation-checkInstall 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 adapted for experimental social science. It remixes general citation-check and source-verification ideas from Cheng-I Wu's Academic Research Skills for Claude Code (CC BY-NC 4.0), especially the separation between citation formatting, existence checks, DOI checks, and uncertainty reporting. Do not copy ARS prose into reports; apply the workflow below.
Identify the inputs and constraints:
.bib, CSL JSON, Zotero export, reference section, footnotes, or mixed.NOT CHECKED rather than guessing.Create two inventories before judging errors:
Normalize cautiously:
de, van, von), and organizational authors as possible matches until checked.a/b/c suffixes are assigned consistently.Report:
Do not "fix" ambiguous cases silently. List the likely match and the evidence.
Use a tiered check when tools allow:
NEEDS AUTHOR VERIFICATION, not fabricated.Flag these separately:
MISSING DOI: likely DOI exists but is absent from the reference.NO DOI FOUND: searched, no DOI found; not necessarily an error.DOI MISMATCH: DOI resolves to a different title or author set.TITLE DRIFT: cited title differs materially from indexed title.STATUS UPDATE: working paper, preprint, or conference paper appears to have a journal/book version.POSSIBLE NONEXISTENT SOURCE: no evidence found after identifier and title searches; use this label sparingly.For APA 7 and most social-science journal styles:
https://doi.org/....When target style is not APA, apply the target style but still keep the integrity checks above.
For literature reviews and theory sections, sample the most important citations and classify how they are used:
Flag overclaiming when the cited source plausibly cannot support the sentence where it appears. If source text is unavailable, mark SOURCE TEXT NOT CHECKED.
Produce a Citation Audit Report:
# Citation Audit Report
Scope: <files/sections checked>
Target style: <style or journal>
Verification tools used: <Crossref/DataCite/S2/OpenAlex/Web/manual/none>
Summary: <N blocking, N recommended, N minor, N needs-author-verification>
## Blocking Issues
| Location | Entry/key | Issue | Evidence | Fix |
## Recommended Fixes
| Location | Entry/key | Issue | Evidence | Fix |
## Minor Style Issues
| Location | Entry/key | Issue | Fix |
## DOI and Source-Status Table
| Entry/key | Current DOI/URL | Verification status | Suggested action |
## In-text / Reference Parity
| Type | Citation or key | Location | Suggested action |
## Needs Author Verification
| Entry/key | Why unresolved | What author should check |
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.