来源信息
- 仓库
- brycewang-stanford/Auto-Empirical-Research-Skills
- 最近来源活动
- 2026年4月3日 02:07
- 检测到的 SKILL.md 语言
- 英语
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- 3,291
- 分支
- 432
安装方式
默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。
检查来源文件
决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。
菜单
默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。
决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。
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 interlibrary-loan-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 | interlibrary-loan-guide |
| description | Access papers through interlibrary loan and document delivery services |
| metadata | {"openclaw":{"emoji":"📚","category":"literature","subcategory":"fulltext","keywords":["interlibrary loan","ILL","document delivery","full text access","library services"],"source":"wentor-research-plugins"}} |
A skill for accessing research papers and books through interlibrary loan (ILL) and document delivery services when your institution does not have a subscription. Covers ILL workflows, alternative free access methods, and strategies for rapid document retrieval.
Interlibrary loan is a service where your library borrows materials from another library on your behalf. Most academic libraries offer ILL free of charge to their students, faculty, and staff. Turnaround time is typically 1-7 business days for articles and 1-3 weeks for books.
Article/Chapter Request:
- You receive a digital scan (PDF) of the article
- Usually delivered to your email or ILL portal
- Turnaround: 1-5 business days
- Typically free
Book Loan:
- Physical book is shipped from another library
- Must be returned by a due date (usually 3-6 weeks)
- Turnaround: 5-15 business days
- May have a small shipping fee
Thesis/Dissertation:
- Some are available digitally via ProQuest or institutional repositories
- Others must be requested as physical loans or scans
- Turnaround varies widely
def prepare_ill_request(item_type: str, metadata: dict) -> dict:
"""
Prepare an interlibrary loan request with required information.
Args:
item_type: 'article', 'book', or 'chapter'
metadata: Bibliographic information about the item
"""
required_fields = {
"article": [
"article_title", "journal_title", "author",
"year", "volume", "issue", "pages", "doi"
],
"book": [
"title", "author", "publisher", "year",
"isbn", "edition"
],
"chapter": [
"chapter_title", "book_title", "author",
"editor", "publisher", "year", "pages", "isbn"
]
}
request = {"type": item_type}
fields = required_fields.get(item_type, [])
for field in fields:
value = metadata.get(field, "")
request[field] = value
if not value:
request.setdefault("missing_fields", []).append(field)
if request.get("missing_fields"):
request["note"] = (
"Provide as many fields as possible. "
"DOI or PMID alone is often sufficient for articles."
)
return request
1. Verify your library does not have access
- Check library catalog and database A-Z list
- Try off-campus access via VPN or proxy
2. Gather bibliographic details
- Title, author, journal/book, year, DOI or ISBN
- The more detail you provide, the faster the request is filled
3. Submit request through your library's ILL system
- Common systems: ILLiad, Tipasa, OCLC WorldShare
- Usually accessible from your library's website under "Interlibrary Loan"
4. Wait for delivery
- Articles: PDF delivered to your email or ILL portal
- Books: Pick up at the library circulation desk
5. Return books by the due date
1. Open Access repositories:
- PubMed Central (PMC) for NIH-funded biomedical research
- arXiv, bioRxiv, medRxiv for preprints
- SSRN for social science and economics working papers
- Institutional repositories (search via BASE or OpenDOAR)
2. Author contact:
- Email the corresponding author requesting a copy
- Check the author's personal or lab website for PDFs
- ResearchGate: request full text from the author
3. Legal free access tools:
- Unpaywall browser extension (finds legal OA copies)
- CORE.ac.uk (aggregates open access research)
- Google Scholar: click "PDF" links on the right side
4. Your institution:
- Try different databases (your library may have access via
a different provider)
- Ask a librarian: they know about access paths you may miss
When ILL is too slow or unavailable, commercial document delivery services can provide articles within hours:
| Service | Turnaround | Typical Cost |
|---|---|---|
| British Library Document Supply | 1-2 days | Varies by country |
| Reprints Desk | Same day to 48 hours | Per-article fee |
| Copyright Clearance Center (Get It Now) | Minutes to hours | Per-article fee |
| DeepDyve | Instant (rental model) | Monthly subscription |