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 opencitations-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.
基于 SOC 职业分类
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| name | opencitations-api |
| description | Query open citation data and reference networks via OpenCitations |
| metadata | {"openclaw":{"emoji":"🔍","category":"literature","subcategory":"metadata","keywords":["citation statistics","citation tracking","citation analysis","bibliometrics","citation network"],"source":"https://opencitations.net/index/api/v1"}} |
OpenCitations is an independent infrastructure organization dedicated to open scholarship and the publication of open bibliographic and citation data. Its main product, the OpenCitations Index of Crossref open DOI-to-DOI citations (COCI), contains over 1.6 billion citation relationships harvested from CrossRef metadata. This makes it the largest fully open citation dataset in the world.
The OpenCitations API allows researchers to programmatically access citation and reference data for any DOI in the index. This is valuable for citation network analysis, bibliometric research, impact assessment, and building literature discovery tools. Unlike proprietary citation databases (Web of Science, Scopus), OpenCitations data is fully open under a CC0 public domain dedication.
The API is free, requires no authentication, and has no published rate limits. It returns data in JSON or CSV format, making it easy to integrate into data analysis pipelines.
No authentication required. The OpenCitations API is fully open and free. No API key, registration, or email is needed. There are no published rate limits, but users should implement reasonable request pacing for large-scale queries. For bulk data access, download the complete COCI dataset from https://opencitations.net/download.
GET https://api.opencitations.net/index/v1/citations/{doi}| Param | Type | Required | Description |
|---|---|---|---|
| doi | string | Yes | The DOI of the cited paper (URL path parameter) |
| format | string | No | Response format header: application/json or text/csv |
curl "https://api.opencitations.net/index/v1/citations/10.1038/nature12373"
oci: OpenCitations Identifier for the citation linkciting: DOI of the citing papercited: DOI of the cited paper (the input DOI)creation: date the citation was first recordedtimespan: time between publication of citing and cited papersjournal_sc: whether citing and cited are in the same journal (self-citation indicator)author_sc: whether any author appears in both papers (author self-citation indicator)GET https://api.opencitations.net/index/v1/references/{doi}| Param | Type | Required | Description |
|---|---|---|---|
| doi | string | Yes | The DOI of the paper whose references to retrieve |
curl "https://api.opencitations.net/index/v1/references/10.1038/nature12373"
citing is the input DOI and cited are the referenced papers.GET https://api.opencitations.net/index/v1/metadata/{doi}| Param | Type | Required | Description |
|---|---|---|---|
| doi | string | Yes | The DOI to look up (supports multiple DOIs separated by __) |
curl "https://api.opencitations.net/index/v1/metadata/10.1038/nature12373"
title, author, year, source_title (journal), volume, issue, page, doi, citation_count, and reference.GET https://api.opencitations.net/index/v1/citation-count/{doi}| Param | Type | Required | Description |
|---|---|---|---|
| doi | string | Yes | The DOI to check |
curl "https://api.opencitations.net/index/v1/citation-count/10.1038/nature12373"
count field indicating the number of citations in the index.No published rate limits. OpenCitations does not enforce strict API quotas. The service runs on academic infrastructure, so users should be respectful. Best practices include pacing requests to 1-5 per second for sustained queries, caching results, and using the bulk dataset download for large-scale network analyses. The API may return HTTP 503 under heavy load.
Map the citation relationships around a seminal paper:
# Get all papers citing the target paper
curl -s "https://api.opencitations.net/index/v1/citations/10.1145/3292500.3330672" | jq '.[].citing'
# Get all papers referenced by the target paper
curl -s "https://api.opencitations.net/index/v1/references/10.1145/3292500.3330672" | jq '.[].cited'
Filter out self-citations when computing impact metrics:
curl -s "https://api.opencitations.net/index/v1/citations/10.1038/nature12373" | jq '[.[] | select(.author_sc == "no")] | length'
Retrieve citation counts for multiple papers in a batch:
# Multiple DOIs separated by double underscore
curl -s "https://api.opencitations.net/index/v1/metadata/10.1038/nature12373__10.1126/science.aaa8685__10.1016/j.cell.2015.05.002" | jq '.[] | {doi: .doi, title: .title, citations: .citation_count}'