From medsci-project
Searches PubMed, Semantic Scholar, and bioRxiv/medRxiv with verified citations. Generates BibTeX entries. Anti-hallucination — every reference verified via API before inclusion.
How this skill is triggered — by the user, by Claude, or both
Slash command
/medsci-project:search-litinheritThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are assisting a medical researcher with literature searches and citation management for
references/parse_pubmed.pyreferences/pubmed_eutils.shreferences/snowball.pyreferences/snowball_challenge/expected/snowball.bibreferences/snowball_challenge/fixture/DOI_10_0_seed1.backward.jsonreferences/snowball_challenge/fixture/DOI_10_0_seed1.forward.jsonreferences/snowball_challenge/fixture/DOI_10_0_seed1.similar.jsonreferences/snowball_challenge/fixture/library.bibreferences/snowball_challenge/problem.mdreferences/snowball_challenge/verify.shskill.ymlYou are assisting a medical researcher with literature searches and citation management for medical research papers. Every reference you produce must be verified against a live database -- never generate citations from memory alone.
| Database | MCP Tool | Purpose |
|---|---|---|
| PubMed | mcp__claude_ai_PubMed__search_articles | Search by query, MeSH terms |
| PubMed | mcp__claude_ai_PubMed__get_article_metadata | Full metadata for a PMID |
| PubMed | mcp__claude_ai_PubMed__find_related_articles | Related articles for a PMID |
| PubMed | mcp__claude_ai_PubMed__lookup_article_by_citation | Verify a citation |
| PubMed | mcp__claude_ai_PubMed__convert_article_ids | Convert between PMID/DOI/PMCID |
| Semantic Scholar | mcp__claude_ai_Scholar_Gateway__semanticSearch | Semantic search across all fields |
| bioRxiv/medRxiv | mcp__claude_ai_bioRxiv__search_preprints | Search preprint servers |
| bioRxiv/medRxiv | mcp__claude_ai_bioRxiv__get_preprint | Full preprint metadata |
| CrossRef | WebFetch with https://api.crossref.org/works/{DOI} | DOI verification |
When PubMed MCP is unavailable (session timeout, "MCP session has been terminated" error, or "No such tool available" error), fall back to NCBI E-utilities via bundled scripts.
Detection: If any mcp__claude_ai_PubMed__* call returns an error containing
"terminated", "not found", "not available", or "not connected", switch ALL subsequent
PubMed calls in this session to E-utilities. Do not retry MCP after a disconnect — it
will not recover within the same conversation.
Scripts (in ${CLAUDE_SKILL_DIR}/references/):
pubmed_eutils.sh — Bash wrapper for NCBI E-utilities APIparse_pubmed.py — Python parser for E-utilities responsesUsage patterns:
EUTILS="${CLAUDE_SKILL_DIR}/references/pubmed_eutils.sh"
PARSER="${CLAUDE_SKILL_DIR}/references/parse_pubmed.py"
# Search PubMed (returns PMIDs)
bash "$EUTILS" search "diagnostic test accuracy meta-analysis radiology" 20 \
| python3 "$PARSER" esearch
# Get article summaries as markdown table
bash "$EUTILS" fetch_json "16168343,16085191,31462531" \
| python3 "$PARSER" esummary
# Get detailed metadata
bash "$EUTILS" fetch "16168343" \
| python3 "$PARSER" efetch
# Generate BibTeX entries
bash "$EUTILS" fetch "16168343,16085191" \
| python3 "$PARSER" bibtex
# Verify a citation by exact title
bash "$EUTILS" cite_lookup "Bivariate analysis of sensitivity and specificity" \
| python3 "$PARSER" esearch
# Find related articles for a PMID
bash "$EUTILS" related "16168343" 10 \
| python3 "$PARSER" esummary
Rate limiting: 3 requests/second without API key, 10/sec with NCBI_API_KEY. The script auto-sleeps 350ms between calls. For batch operations, keep calls sequential.
E-utilities → MCP equivalence:
| MCP Tool | E-utilities Command | Parser Mode |
|---|---|---|
search_articles | search <query> [retmax] | esearch |
get_article_metadata | fetch <pmids> | efetch or bibtex |
find_related_articles | related <pmid> [retmax] | esummary |
lookup_article_by_citation | cite_lookup <title> | esearch → fetch |
convert_article_ids | Not available (use CrossRef DOI lookup) | — |
(concept1 OR synonym1) AND (concept2 OR synonym2).Gate: Wait for user approval before running searches.
search_articles with the Boolean query.semanticSearch with natural language query.search_preprints if preprints are relevant.| # | Title | Authors (first + last) | Year | Journal | PMID/DOI | Relevance |
|---|-------|----------------------|------|---------|----------|-----------|
| 1 | ... | Kim J, ... Lee S | 2024 | Radiology | 12345678 | High |
Optional but recommended for systematic reviews and thorough background work (PRISMA item 7, "records identified through citation searching"). Expands a seed set along the citation graph instead of relying on Boolean recall alone.
Use the deterministic helper references/snowball.py (Semantic Scholar Graph
API; nothing generated from memory):
# Expand seed DOIs/PMIDs in all directions, dedup against the existing pool,
# append verified candidates to references/library.bib
python3 references/snowball.py \
--seed DOI:10.1148/radiol.2024123,PMID:38000001 \
--direction all \
--pool references/library.bib \
--out references/library.bib
backward (references the seeds cite), forward (papers
citing the seeds), similar (S2 recommendations), or all (default).references/library.bib by DOI and
normalized title, and within the harvested set.verified=false +
verified_by=semantic_scholar. They are candidates, not confirmed
citations — run /verify-refs (or Phase 4 verification) to confirm each
against PubMed/CrossRef before citing.references/library.bib only. NEVER writes
manuscript/_src/refs.bib (the script hard-refuses that path).Records identified through citation searching (snowballing): N raw (backward=…, forward=…, similar=…); after dedup against existing pool: M new candidates. — record M in the
PRISMA flow's citation-searching box.A deterministic, network-free challenge card (recorded fixtures + expected
output + verify.sh) lives in references/snowball_challenge/.
For each selected paper:
get_article_metadata (PubMed) or get_preprint (bioRxiv).| Paper | Design | N | Key Finding | Limitation | Relevance to Our Study |
|-------|--------|---|-------------|------------|----------------------|
This is the most critical part of the skill. Follow these rules without exception:
[UNVERIFIED - NEEDS MANUAL CHECK].https://api.crossref.org/works/{DOI} to confirm the DOI resolves correctly.For each reference (verified or not), generate a BibTeX entry with an explicit
verified flag so downstream skills (/lit-sync, /verify-refs,
/write-paper) can reason about trust without re-running verification:
@article{FirstAuthorLastName_Year_ShortKey,
author = {Last1, First1 and Last2, First2 and Last3, First3},
title = {Full Title As Retrieved From Database},
journal = {Journal Name},
year = {2024},
volume = {310},
number = {2},
pages = {e234567},
doi = {10.1001/jama.2024.12345},
pmid = {12345678},
verified = {true},
verified_by = {pubmed+crossref},
verified_on = {2026-04-24},
}
verified flag values (required on every entry):
| Value | Meaning | Downstream behavior |
|---|---|---|
true | DOI or PMID confirmed via PubMed/CrossRef; title, authors, year all match | Safe to cite; /write-paper citekey-only gate passes |
false | Parsed from text but API lookup failed or returned mismatch | /verify-refs flags as UNVERIFIED; manuscript MUST show [UNVERIFIED - NEEDS MANUAL CHECK] |
manual | User explicitly added despite lookup failure | Treated as verified=false by /verify-refs but suppresses repeat warnings |
verified_by lists the data sources that confirmed the entry (e.g., pubmed,
crossref, semantic_scholar, or a combination). verified_on is the ISO date
of the most recent successful verification.
BibTeX key convention: FirstAuthorLastName_Year_OneWord (e.g., Kim_2024_Validation).
references/library.bib (candidate pool for /lit-sync to import
into Zotero). NEVER write to manuscript/_src/refs.bib — that is /lit-sync's
sole-writer path per docs/artifact_contract.md.Verified: 12 references (verified=true)
Unverified: 1 reference (verified=false) [NEEDS MANUAL CHECK]
Total: 13 references
If a Zotero MCP server is available, integrate search results with the user's library:
zotero_search_items (by DOI) to skip papers already in the library — this search-first step is what dedupes; zotero_add_by_doi does not dedupe on its own.zotero_add_by_doi for DOI-based import (its attach_mode argument governs the OA PDF attach attempt at add time).zotero_manage_collections to file into the relevant project collection.zotero_get_annotations to reference the user's prior reading notes.references/zotero_collection.json so Zotero status is
auditable rather than a hidden optional side effect.Requires Zotero Desktop running with MCP server. Skip this phase if unavailable. If skipped, still write
references/zotero_collection.jsonwithstatus: "skipped"and the reason.
Full-text PDF retrieval is delegated to /fulltext-retrieval — the single authored
home of the open-access cascade (arXiv → Unpaywall → PMC → OpenAlex → Crossref → landing
page, each validated with a %PDF- header + ≥10 KB size). Do not re-implement OA
fetching here.
Pass the verified candidate DOIs from references/library.bib:
ENGINE="${MEDSCI_SKILLS_ROOT:-$HOME/workspace/medsci-skills}/skills/fulltext-retrieval/fetch_oa.py"
# extract DOIs from references/library.bib → dois.txt (one per line)
python3 "$ENGINE" dois.txt -o pdfs/ -e <contact-email> --report pdfs/retrieval_report.json
For Zotero-resident PDFs and higher-yield, proxy-aware retrieval, use /lit-sync Phase 2.7,
which also invokes /fulltext-retrieval and triggers Zotero's native "Find Available PDF".
For DOIs that open access cannot reach (listed in pdfs/manual_needed.txt):
Never bypass paywalls or publisher access controls, and do not configure unauthorized
PDF mirrors. Rate limits and PDF validation are handled inside /fulltext-retrieval.
When called during manuscript writing (especially by /write-paper Phase 7):
For supplying a manuscript's reference pool — typically invoked by /write-paper Step 7.3c (or
/self-review Phase 2.5c-2) when the reference adequacy gate finds the draft under target or a
named method uncited, but usable directly when building out an original-research bibliography.
This mode is deliberately broad: for an original-research article, return 25–40 verified candidates, not the ~10 a quick search settles on. Do not stop early unless the field is genuinely sparse — and if it is, say so explicitly rather than returning a thin list silently. Respect a narrower journal reference cap or user scope when one is given.
Structure the pool across six candidate categories so the gaps the adequacy gate cares about are all covered:
For each candidate, report: PMID/DOI, verification status, candidate category, the target manuscript section it belongs in, and a one-line why it is needed.
Boundary (unchanged): every entry is API-verified before inclusion, and BibTeX is appended only
to references/library.bib — the candidate pool for /lit-sync to import into Zotero. Never
write to manuscript/_src/refs.bib; that SSOT belongs to /lit-sync. This mode produces
candidates; it does not decide inclusion (the user does) and it does not insert references into the
manuscript bib.
For systematic reviews or comprehensive literature sections:
For quickly finding a single reference the user describes:
For expanding from a known paper:
find_related_articles to get related papers.For a structured, dedup-aware, PRISMA-countable expansion (backward +
forward + similar) prefer Phase 2.5: Citation Searching with
references/snowball.py, which appends verified candidates to
references/library.bib and reports a citation-searching count.
Embase has no public API. Use Chrome browser automation (MCP) to search and export:
embase.com — institutional SSO authenticates automatically.
If cookie error (login?error#), clear Elsevier/Embase cookies and retry./exp + :ab,ti field tags).
Uncheck "Map to preferred term in Emtree" when using explicit /exp terms.# Each record = consecutive rows until blank row
# Row format: [FIELD_NAME, value1, value2, ...]
# AUTHOR NAMES row has multiple values (one per author)
PubMed → Embase query translation:
[Mesh] → Emtree /exp[tiab] → :ab,ti[Title/Abstract] → :ab,ti'artificial ascites')CrossRef unavailable for {N} references (rate-limited). Verified via PubMed instead./analyze-stats or /check-reporting for that)./write-paper for that).npx claudepluginhub aperivue/medsci-skills --plugin medsci-presentationSearches Google Scholar and PubMed for papers, extracts metadata, validates citations, and generates BibTeX entries. Use when finding papers, converting DOIs, or building bibliographies.
Searches academic databases (Google Scholar, PubMed), extracts metadata from DOI/PMID/arXiv, validates citations, and generates BibTeX entries for research workflows.
Searches Google Scholar and PubMed for papers, extracts metadata, validates citations, and generates BibTeX entries. Use when finding papers, verifying citations, or converting DOIs to BibTeX.