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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.
Based on SOC occupation classification
Showing SKILL.md
| name | scielo-api |
| description | Access Latin American and developing world research via SciELO API |
| metadata | {"openclaw":{"emoji":"🌎","category":"literature","subcategory":"search","keywords":["SciELO","Latin America","open access journals","developing countries","Brazilian research","Spanish research"],"source":"https://wiki.scielo.org/"}} |
SciELO (Scientific Electronic Library Online) is the primary open access platform for scholarly journals in Latin America, the Caribbean, Spain, Portugal, and South Africa. It indexes 1,800+ peer-reviewed journals and 900K+ articles, many not indexed elsewhere. All content is open access. The API provides article search, journal metadata, and bibliometric indicators. Free, no authentication required.
Search and retrieve articles:
# Search articles by keyword
curl "https://articlemeta.scielo.org/api/v1/article/?collection=scl&q=machine+learning"
# Get article by PID (SciELO identifier)
curl "https://articlemeta.scielo.org/api/v1/article/?code=S0100-204X2024000100001"
# Filter by collection (country)
curl "https://articlemeta.scielo.org/api/v1/article/?collection=esp&q=climate+change"
# Filter by journal ISSN
curl "https://articlemeta.scielo.org/api/v1/article/?issn=0100-204X&from_date=2024-01-01"
| Code | Country/Region |
|---|---|
scl | Brazil |
esp | Spain |
mex | Mexico |
col | Colombia |
chl | Chile |
arg | Argentina |
cub | Cuba |
ven | Venezuela |
prt | Portugal |
zaf | South Africa |
# List journals in a collection
curl "https://articlemeta.scielo.org/api/v1/journal/?collection=scl"
# Get journal by ISSN
curl "https://articlemeta.scielo.org/api/v1/journal/?issn=0100-204X"
# Journal indicators
curl "https://analytics.scielo.org/api/v1/journal/?issn=0100-204X"
Full-text search with facets:
# Full-text search
curl "https://search.scielo.org/?q=biodiversity+conservation&format=json&count=20"
# Filter by subject area
curl "https://search.scielo.org/?q=neural+networks&filter[subject_area]=Computer+Science&format=json"
# Filter by year range
curl "https://search.scielo.org/?q=CRISPR&filter[year_cluster]=2023-2026&format=json"
# Filter by language
curl "https://search.scielo.org/?q=epidemiology&filter[la]=en&format=json"
| Parameter | Description | Example |
|---|---|---|
q | Free-text query | q=tropical+ecology |
collection | Country code | collection=scl |
issn | Journal ISSN | issn=0100-204X |
from_date | Articles from date | from_date=2024-01-01 |
until_date | Articles until date | until_date=2026-12-31 |
format | Response format | json, xml |
count | Results per page | count=50 |
offset | Pagination offset | offset=20 |
import requests
ARTICLE_API = "https://articlemeta.scielo.org/api/v1"
SEARCH_API = "https://search.scielo.org"
def search_scielo(query: str, collection: str = None,
count: int = 20) -> list:
"""Search SciELO articles."""
params = {"q": query, "format": "json", "count": count}
if collection:
params["collection"] = collection
resp = requests.get(f"{SEARCH_API}/", params=params)
resp.raise_for_status()
data = resp.json()
results = []
for doc in data.get("docs", data.get("results", [])):
results.append({
"title": doc.get("title", {}).get("en", doc.get("title", "")),
"authors": doc.get("authors", []),
"journal": doc.get("journal_title", ""),
"year": doc.get("publication_year", ""),
"doi": doc.get("doi", ""),
"pid": doc.get("pid", ""),
"language": doc.get("la", []),
"url": ,
})
results
() -> :
resp = requests.get(
,
params={: pid, : },
)
resp.raise_for_status()
resp.json()
() -> :
resp = requests.get(
,
params={: collection, : },
)
resp.raise_for_status()
resp.json()
papers = search_scielo(, collection=)
p papers:
()
papers = search_scielo(, collection=)
p papers:
()