Skip to main content

crossref-search

Academic metadata search via CrossRef API. Use when: user needs DOI resolution, citation counts, journal metadata, or publisher info. NOT for: full-text access or downloading papers.

Informations de source

Dépôt
beita6969/ScienceClaw
Dernière activité de la source
12 mars 2026 à 04:53
Langue détectée de SKILL.md
anglais
Étoiles
907
Forks
104

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
name
crossref-search
description
Academic metadata search via CrossRef API. Use when: user needs DOI resolution, citation counts, journal metadata, or publisher info. NOT for: full-text access or downloading papers.
metadata
{"openclaw":{"emoji":"🔗","requires":{"bins":"[Truncated]"}}}
# CrossRef Search Academic metadata search and DOI resolution via the public CrossRef REST API. ## When to Use - Resolving a DOI to get full citation metadata - Searching for papers by title, author, or keywords - Looking up journal ISSN metadata or publisher info - Finding citation counts and reference lists - Retrieving funder information for grants/awards ## When NOT to Use - Full-text access or downloading papers (use publisher sites) - Preprint search (use arxiv-search) - Biomedical literature (use pubmed-search) - Author profile pages or h-index (use openalex-search) ## DOI Resolution ```bash curl -s "https://api.crossref.org/works/10.1038/nature12373" | python3 -c " import sys, json data = json.load(sys.stdin)['message'] title = data.get('title', [''])[0] authors = ', '.join(f\"{a.get('given','')} {a.get('family','')}\" for a in data.get('author', [])) journal = data.get('container-title', [''])[0] cited = data.get('is-referenced-by-count', 0) print(f'Title: {title}') print(f'Authors: {authors}') print(f'Journal: {journal} | Citations: {cited}') " ``` ## Works Search ```bash # Search by query terms curl -s "https://api.crossref.org/works?query=machine+learning+protein+folding&rows=5&mailto=user@example.com" | python3 -c " import sys, json data = json.load(sys.stdin)['message'] for item in data['items']: title = item.get('title', [''])[0] doi = item.get('DOI', '') cited = item.get('is-referenced-by-count', 0) print(f'{title}') print(f' DOI: {doi} | Citations: {cited}') " # Filter by date, type, and sort by citations curl -s "https://api.crossref.org/works?query=CRISPR&filter=from-pub-date:2023-01-01,type:journal-article&rows=10&sort=is-referenced-by-count&order=desc&mailto=user@example.com" # Search by author curl -s "https://api.crossref.org/works?query.author=Jennifer+Doudna&rows=10&sort=published&order=desc&mailto=user@example.com" ``` ## Journal Lookup ```bash # Search journals by title curl -s "https://api.crossref.org/journals?query=nature+biotechnology&rows=5" | python3 -c " import sys, json for j in json.load(sys.stdin)['message']['items']: print(f\"{j['title']} (ISSN: {', '.join(j.get('ISSN', []))})\") " # Get journal metadata by ISSN curl -s "https://api.crossref.org/journals/0028-0836" # Recent works from a journal curl -s "https://api.crossref.org/journals/0028-0836/works?rows=5&sort=published&order=desc" ``` ## Funder Search ```bash curl -s "https://api.crossref.org/funders?query=national+institutes+of+health&rows=5" | python3 -c " import sys, json for f in json.load(sys.stdin)['message']['items']: print(f\"{f['name']} (ID: {f['id']})\") " # Works funded by a specific funder curl -s "https://api.crossref.org/funders/100000002/works?rows=5&sort=is-referenced-by-count&order=desc" ``` ## Reference Lists ```bash curl -s "https://api.crossref.org/works/10.1038/nature12373" | python3 -c " import sys, json refs = json.load(sys.stdin)['message'].get('reference', []) for r in refs[:10]: doi = r.get('DOI', 'no DOI') text = r.get('unstructured', r.get('article-title', 'N/A')) print(f' [{doi}] {text[:100]}') " ``` ## Filters and Pagination Filters: `type:journal-article`, `from-pub-date:YYYY-MM-DD`, `until-pub-date:YYYY-MM-DD`, `has-abstract:true`, `is-referenced-by-count:>100`, `funder:FUNDER_ID`. Sorting: `sort=published|is-referenced-by-count|relevance`, `order=asc|desc`. Pagination: `rows=N` (max 1000), `offset=N`, or `cursor=*` for deep paging. ## Best Practices 1. Add `mailto=user@example.com` to join the polite pool (faster, more reliable). 2. URL-encode query parameters (spaces as `+` or `%20`). 3. Use `select=DOI,title,author` to reduce payload size. 4. Use `cursor=*` pagination for result sets larger than 10,000 items. 5. Cache DOI resolution results; metadata changes infrequently. ## Zero-Hallucination Rule NEVER fabricate results from training data. Every paper title, author, DOI, PMID, citation count, and metadata detail presented to the user MUST come from an actual API response in this conversation. If the API returns no results or partial data, report exactly what was returned. Do not "fill in" missing details from memory.
Voir sur GitHub