用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills --skill europe-pmc-api命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
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.
中英双语学术降 AIGC / bilingual academic de-AIGC skill. Removes AI-generated writing signatures from empirical papers in economics, management, and the social sciences — in both English and Chinese. Covers Turnitin AI, GPTZero, Originality.ai on the English side and 知网 AMLC, 万方, 维普 on the Chinese side. Uses a six-step loop (intake → audit → claim-evidence check → differentiated rewrite → five-dimension self-score → cold-reader recheck) with two pattern libraries (22 English + 17 Chinese patterns), section-by-section strategies for empirical papers, and hard protections that keep every number, coefficient, and citation intact.
Use when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an explicitly approved Kaggle write/delete operation through the official CLI.
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基于 SOC 职业分类
| name | europe-pmc-api |
| description | Search biomedical and life sciences literature via Europe PMC |
| metadata | {"openclaw":{"emoji":"🔍","category":"literature","subcategory":"search","keywords":["academic database search","literature search","citation tracking","field-specific search"],"source":"https://europepmc.org/RestfulWebService"}} |
Europe PMC (PubMed Central) is a free, comprehensive biomedical literature database maintained by the European Bioinformatics Institute (EMBL-EBI) as part of a network of 32 European funders. It provides access to over 40 million biomedical and life sciences publications, including abstracts from PubMed/MEDLINE, full-text articles from PubMed Central, patents from the European Patent Office, and preprints from biomedical preprint servers.
Europe PMC extends beyond PubMed by integrating additional European content, preprints, and rich text-mined annotations. It provides links to biological databases (UniProt, Protein Data Bank, etc.), grant information from funders, and citation data. The annotation features include gene/protein mentions, disease names, organism identifiers, and chemical entities extracted via machine learning.
The API is free, requires no authentication, and supports 10 requests per second. It returns JSON or XML and offers advanced query syntax with field-specific searches, boolean operators, and date range filters.
No authentication required. The Europe PMC API is fully open. No API key, registration, or email is needed. The API enforces a rate limit of 10 requests per second per IP address. Including a descriptive User-Agent header is considered good practice.
GET https://www.ebi.ac.uk/europepmc/webservices/rest/search| Param | Type | Required | Description |
|---|---|---|---|
| query | string | Yes | Search query (supports field codes: TITLE, AUTH, JOURNAL, DOI, etc.) |
| format | string | No | Response format: json (default) or xml |
| resultType | string | No | lite (default) or core (includes full abstract and metadata) |
| pageSize | integer | No | Results per page (default: 25, max: 1000) |
| cursorMark | string | No | Cursor for deep pagination (use nextCursorMark from response) |
| sort | string | No | Sort field: RELEVANCE, CITED, DATE (default: RELEVANCE) |
| synonym | boolean | No | Enable MeSH synonym expansion (default: true) |
curl "https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=CRISPR+AND+cancer&format=json&resultType=core&pageSize=10&sort=CITED+desc"
hitCount, nextCursorMark, and resultList.result array. Each result contains id, source (MED, PMC, PPR, PAT), pmid, pmcid, doi, title, authorString, journalTitle, pubYear, abstractText, citedByCount, isOpenAccess, and fullTextUrlList.GET https://www.ebi.ac.uk/europepmc/webservices/rest/{source}/{id}/citations| Param | Type | Required | Description |
|---|---|---|---|
| source | string | Yes | Source database: MED (PubMed), PMC, PPR (preprint), PAT (patent) |
| id | string | Yes | The publication ID (PMID, PMCID, etc.) |
| format | string | No | json or xml |
| page | integer | No | Page number (default: 1) |
| pageSize | integer | No | Results per page (default: 25) |
curl "https://www.ebi.ac.uk/europepmc/webservices/rest/MED/33116299/citations?format=json&pageSize=10"
hitCount and citationList.citation array containing citing publication metadata.GET https://www.ebi.ac.uk/europepmc/webservices/rest/{source}/{id}/references| Param | Type | Required | Description |
|---|---|---|---|
| source | string | Yes | Source database |
| id | string | Yes | The publication ID |
| format | string | No | json or xml |
| page | integer | No | Page number |
| pageSize | integer | No | Results per page |
curl "https://www.ebi.ac.uk/europepmc/webservices/rest/MED/33116299/references?format=json&pageSize=50"
referenceList.reference array containing reference metadata.The API enforces a rate limit of 10 requests per second per IP address. There is no daily request cap. Exceeding the rate limit returns HTTP 429. For bulk data access, Europe PMC provides OAI-PMH harvesting, FTP bulk downloads, and SPARQL endpoint access. Cursor-based pagination (using cursorMark) is required for retrieving beyond the first 10,000 results.
Perform a structured biomedical search with MeSH terms and date filters:
curl -s "https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=(TITLE:immunotherapy+AND+TITLE:melanoma)+AND+(PUB_YEAR:[2022+TO+2026])&format=json&resultType=core&pageSize=25&sort=CITED+desc" | jq '.resultList.result[] | {title: .title, journal: .journalTitle, year: .pubYear, citations: .citedByCount, oa: .isOpenAccess}'
Search specifically in the preprint sources indexed by Europe PMC:
curl -s "https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=(SRC:PPR)+AND+large+language+models+AND+biology&format=json&pageSize=10" | jq '.resultList.result[] | {title: .title, source: .source, year: .pubYear, doi: .doi}'
Retrieve both citations and references to map a paper's scholarly context:
# Get papers that cite the target
curl -s "https://www.ebi.ac.uk/europepmc/webservices/rest/MED/33116299/citations?format=json&pageSize=50" | jq '.citationList.citation | length'
# Get papers referenced by the target
curl -s "https://www.ebi.ac.uk/europepmc/webservices/rest/MED/33116299/references?format=json&pageSize=100" | jq '.referenceList.reference | length'