技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
ssrn-econpapers【数据与研究】Search social science research papers across SSRN, RePEc/IDEAS, CrossRef, and Semantic Scholar. Use when: (1) finding working papers in economics, finance, law, or political science, (2) searching RePEc for economics papers, (3) querying CrossRef for social science journal articles, (4) retrieving citation metadata for social science research. NOT fo…
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Search working papers and published articles across SSRN, RePEc/IDEAS, CrossRef, and Semantic Scholar. Covers economics, finance, law, management, political science, and related social sciences.
CrossRef provides the most reliable structured search for published social science:
# Search social science articles
curl -s "https://api.crossref.org/works?query=behavioral+economics+nudge&filter=subject:social-science&rows=10&sort=relevance" \
| python3 -c "
import sys, json
data = json.load(sys.stdin)
for item in data.get('message', {}).get('items', []):
title = item.get('title', ['N/A'])[0]
doi = item.get('DOI', 'N/A')
year = item.get('published-print', item.get('published-online', {}))
yr = year.get('date-parts', [[None]])[0][0] if year else 'N/A'
authors = '; '.join(
f\"{a.get('family','')}, {a.get('given','')}\"
for a in item.get('author', [])[:3]
)
print(f'[{yr}] {title}')
print(f' DOI: {doi}')
print(f' Authors: {authors}\n')
"
# Filter by date range and subject
curl -s "https://api.crossref.org/works?query=inequality+mobility&filter=from-pub-date:2020-01-01,subject:economics&rows=10&sort=published&order=desc"
# Search within a specific journal (by ISSN)
curl -s "https://api.crossref.org/journals/0002-8282/works?query=monetary+policy&rows=10"
# Lookup by DOI
curl -s "https://api.crossref.org/works/10.1257/aer.20171330"
Search the largest economics-specific paper database:
# Search IDEAS/RePEc
curl -s "https://ideas.repec.org/cgi-bin/htsearch?q=trade+tariffs+welfare&cmd=Search%21&ul=&m=all&fmt=long&wm=wrd&sp=1&sy=1&dt=range&db=2020-01-01&de=" \
| python3 -c "
import sys, re
html = sys.stdin.read()
titles = re.findall(r'<dt>\d+\.\s*<a href=\"([^\"]+)\">([^<]+)</a>', html)
for url, title in titles[:10]:
print(f'{title.strip()}')
print(f' https://ideas.repec.org{url}\n')
"
Search SSRN working papers (HTML scraping, structured API not public):
# Search SSRN by keyword
curl -s "https://papers.ssrn.com/sol3/results.cfm?RequestTimeout=50000000&txtKey_Words=climate+finance+risk" \
-H "User-Agent: Mozilla/5.0" \
| python3 -c "
import sys, re
html = sys.stdin.read()
papers = re.findall(r'<a class=\"title\" href=\"(https://ssrn.com/abstract=\d+)\"[^>]*>([^<]+)</a>', html)
for url, title in papers[:10]:
print(f'{title.strip()}')
print(f' {url}\n')
"
# Semantic Scholar API with social science field filter
curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query=causal+inference+social+policy&fieldsOfStudy=Economics,Sociology,Political+Science&fields=title,year,authors,citationCount,externalIds&limit=10" \
| python3 -c "
import sys, json
data = json.load(sys.stdin)
for p in data.get('data', []):
title = p.get('title', 'N/A')
year = p.get('year', 'N/A')
cites = p.get('citationCount', 0)
authors = ', '.join(a['name'] for a in p.get('authors', [])[:3])
doi = p.get('externalIds', {}).get('DOI', '')
print(f'[{year}] ({cites} cites) {title}')
print(f' Authors: {authors}')
if doi:
print(f' DOI: {doi}')
print()
"
Use with fieldsOfStudy parameter: Economics, Sociology, Political Science,
Business, Psychology, Law, Geography.
AER: 0002-8282, QJE: 0033-5533, JPE: 0022-3808, Econometrica: 0012-9682,
REStud: 0034-6527, JoF: 0022-1082, APSR: 0003-0554, ASR: 0003-1224.
&rows= or &limit= to control result count.mailto parameter to CrossRef for polite pool: &mailto=you@example.com.