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 preprint-servers-guide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.
基于 SOC 职业分类
正在显示 SKILL.md
| name | preprint-servers-guide |
| description | Guide to preprint servers across scientific disciplines |
| metadata | {"openclaw":{"emoji":"📄","category":"literature","subcategory":"fulltext","keywords":["preprint server","preprint submission","arXiv","bioRxiv","open access"],"source":"wentor-research-plugins"}} |
A comprehensive guide to preprint servers across all major academic disciplines, covering submission workflows, licensing, and programmatic access.
Preprints are complete research manuscripts shared publicly before formal peer review. They enable rapid dissemination of findings, establish priority of discovery, and invite community feedback before journal submission.
Key characteristics:
| Server | Disciplines | Operator | Moderation | DOI Prefix |
|---|---|---|---|---|
| arXiv | Physics, Math, CS, Econ, EE, Stats, Q-Bio | Cornell | Light screening | 10.48550 |
| bioRxiv | Biology (all subfields) | Cold Spring Harbor | Basic screening | 10.1101 |
| medRxiv | Clinical/health sciences | Yale/BMJ/CSHL | Enhanced screening | 10.1101 |
| ChemRxiv | Chemistry | ACS | Moderate screening | 10.26434 |
| EarthArXiv | Earth/planetary sciences | Community-led | Light screening | 10.31223 |
| PsyArXiv | Psychology | COS/OSF | Light screening | 10.31234 |
| SocArXiv | Social sciences | COS/OSF | Light screening | 10.31235 |
| SSRN | Social sciences, law, economics | Elsevier | Minimal | various |
| engrXiv | Engineering | COS/OSF | Light screening | 10.31224 |
| EdArXiv | Education | COS/OSF | Light screening | 10.35542 |
| Preprints.org | Multidisciplinary | MDPI | Basic screening | 10.20944 |
| Research Square | Multidisciplinary | Springer Nature | In Review service | 10.21203 |
| TechRxiv | Electrical eng., CS | IEEE | Moderate | 10.36227 |
.tex + figures + .bbl as a single archivecs.CL) and optional cross-lists.YYMM.NNNNN (e.g., 2401.12345).# Download arXiv paper PDF programmatically
curl -o paper.pdf https://arxiv.org/pdf/2401.12345
# Get metadata via arXiv API
curl "http://export.arxiv.org/api/query?id_list=2401.12345"
# bioRxiv API: search recent preprints
import requests
response = requests.get(
"https://api.biorxiv.org/details/biorxiv/2024-01-01/2024-01-31",
params={"cursor": 0, "format": "json"}
)
papers = response.json()["collection"]
for p in papers[:5]:
print(f"[{p['date']}] {p['title']} (doi: {p['doi']})")
| License | Allows Reuse | Allows Commercial | Allows Derivatives | Requires Attribution |
|---|---|---|---|---|
| CC-BY | Yes | Yes | Yes | Yes |
| CC-BY-NC | Yes | No | Yes | Yes |
| CC-BY-ND | Yes | Yes | No | Yes |
| CC-BY-NC-ND | Yes | No | No | Yes |
| CC0 | Yes | Yes | Yes | No |
Recommendation: Use CC-BY for maximum openness and compatibility with funder mandates (NIH, Wellcome Trust, ERC). Use CC-BY-NC if you want to restrict commercial reuse.
Most major publishers now accept manuscripts previously posted as preprints:
Important considerations:
| Server | API Available | Bulk Download | OAI-PMH | Rate Limit |
|---|---|---|---|---|
| arXiv | Yes (Atom) | Yes (S3 bulk) | Yes | 1 req/3 sec |
| bioRxiv | Yes (REST) | No | No | Polite use |
| SSRN | No public API | No | No | N/A |
| OSF Preprints | Yes (SHARE) | Yes | Yes | Polite use |