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 osf-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 | osf-api |
| description | Manage open science projects and preprints via the OSF REST API |
| metadata | {"openclaw":{"emoji":"🔓","category":"literature","subcategory":"fulltext","keywords":["OSF","Open Science Framework","preprints","open data","reproducibility","COS"],"source":"https://osf.io/"}} |
The Open Science Framework by the Center for Open Science provides infrastructure for the entire research lifecycle — project management, file storage, preprint hosting, and registrations. The API enables search, project creation, file management, and preprint discovery across OSF Preprints, PsyArXiv, SocArXiv, and 25+ community preprint servers. Free, no auth for read access.
https://api.osf.io/v2
# Search across all OSF content
curl "https://api.osf.io/v2/search/?q=replication+crisis&page[size]=20"
# Search preprints
curl "https://api.osf.io/v2/preprints/?filter[q]=machine+learning&page[size]=20"
# Filter by preprint provider
curl "https://api.osf.io/v2/preprints/?filter[provider]=psyarxiv&filter[q]=cognitive+bias"
# Search registrations (pre-registered studies)
curl "https://api.osf.io/v2/registrations/?filter[q]=randomized+controlled+trial"
# Get public projects
curl "https://api.osf.io/v2/nodes/?filter[public]=true&filter[q]=neuroimaging"
# Get project details
curl "https://api.osf.io/v2/nodes/{node_id}/"
# Get project files
curl "https://api.osf.io/v2/nodes/{node_id}/files/"
# Get project contributors
curl "https://api.osf.io/v2/nodes/{node_id}/contributors/"
| Provider | Filter | Disciplines |
|---|---|---|
| OSF Preprints | osf | Multidisciplinary |
| PsyArXiv | psyarxiv | Psychology |
| SocArXiv | socarxiv | Social sciences |
| EarthArXiv | eartharxiv | Earth sciences |
| BioHackrXiv | biohackrxiv | Bioinformatics |
| engrXiv | engrxiv | Engineering |
| MedArXiv | medarxiv | Medical sciences |
| NutriXiv | nutrixiv | Nutrition |
| Parameter | Description | Example |
|---|---|---|
filter[q] | Text search | filter[q]=open+data |
filter[provider] | Preprint server | filter[provider]=psyarxiv |
filter[subjects] | Subject filter | Subject taxonomy ID |
filter[date_created] | Date filter | filter[date_created][gte]=2024-01-01 |
page[size] | Results per page (max 100) | page[size]=50 |
page | Page number | page=2 |
{
"data": [
{
"id": "abc12",
"type": "preprints",
"attributes": {
"title": "Replication of the Ego Depletion Effect",
"description": "We attempted to replicate...",
"date_created": "2024-06-15T10:00:00Z",
"date_published": "2024-06-16T08:00:00Z",
"doi": "10.31234/osf.io/abc12",
"is_published": true,
"subjects": [["Social and Behavioral Sciences", "Psychology"]],
"tags": ["replication",
import requests
BASE_URL = "https://api.osf.io/v2"
def search_preprints(query: str, provider: str = None,
page_size: int = 20) -> list:
"""Search OSF preprints across providers."""
params = {
"filter[q]": query,
"page[size]": page_size,
}
if provider:
params["filter[provider]"] = provider
resp = requests.get(f"{BASE_URL}/preprints/", params=params)
resp.raise_for_status()
data = resp.json()
results = []
for item in data.get("data", []):
attrs = item.get("attributes", {})
results.append({
"id": item.get("id"),
"title": attrs.get("title"),
"description": (attrs.get("description") or "")[:300],
"doi": attrs.get("doi"),
"date": attrs.get("date_published", "")[:10],
"tags": attrs.get("tags", []),
"url": f"https://osf.io/{item.get('id')}/",
})
return results
def search_registrations() -> :
params = {
: query,
: page_size,
}
resp = requests.get(, params=params)
resp.raise_for_status()
data = resp.json()
results = []
item data.get(, []):
attrs = item.get(, {})
results.append({
: item.get(),
: attrs.get(),
: (attrs.get() )[:],
: attrs.get(, )[:],
: attrs.get(),
})
results
() -> :
resp = requests.get()
resp.raise_for_status()
data = resp.json()
providers = []
item data.get(, []):
attrs = item.get(, {})
providers.append({
: attrs.get(),
: attrs.get(),
})
providers
preprints = search_preprints(, provider=)
p preprints[:]:
()
()
regs = search_registrations()
r regs[:]:
()