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 dblp-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
正在显示 SKILL.md
| name | dblp-api |
| description | Search computer science publications, authors, and venues via DBLP |
| metadata | {"openclaw":{"emoji":"🔍","category":"domains","subcategory":"cs","keywords":["algorithms","data structures","software engineering","database","academic database search"],"source":"https://dblp.org/faq/1474707.html"}} |
DBLP (Digital Bibliography and Library Project) is the most comprehensive open bibliographic database for computer science. Maintained by Schloss Dagstuhl - Leibniz Center for Informatics, DBLP indexes over 6.5 million publications from thousands of journals, conference proceedings, and informal publication venues in computer science and related fields.
DBLP is widely regarded as the authoritative source for computer science bibliographic data. It is used by researchers for tracking publication records, by hiring committees for evaluating academic productivity, and by bibliometric tools for analyzing the computer science research landscape. Each author in DBLP has a unique profile page with a complete, disambiguated publication list.
The API is entirely free and open, requiring no authentication. There are no published rate limits, though users are expected to be respectful and avoid excessive load on the servers. All data is available under the ODC-BY license.
No authentication required. The DBLP API is fully open and free to use. No API key, registration, or email is needed. Users should include a descriptive User-Agent header and avoid sending excessive concurrent requests.
GET https://dblp.org/search/publ/api| Param | Type | Required | Description |
|---|---|---|---|
| q | string | Yes | Search query (supports author:, venue:, year: prefixes) |
| format | string | No | Response format: json, xml (default: xml) |
| h | integer | No | Number of results (default: 30, max: 1000) |
| f | integer | No | Starting offset for pagination (default: 0) |
| c | integer | No | Maximum completions in auto-suggest mode |
curl "https://dblp.org/search/publ/api?q=graph+neural+networks&format=json&h=10&f=0"
result.hits containing @total count and hit array. Each hit has info with title, authors.author, venue, year, type, doi, url, and ee (electronic edition link).GET https://dblp.org/search/author/api| Param | Type | Required | Description |
|---|---|---|---|
| q | string | Yes | Author name query |
| format | string | No | Response format: json, xml |
| h | integer | No | Number of results (default: 30) |
| f | integer | No | Starting offset |
curl "https://dblp.org/search/author/api?q=Yann+LeCun&format=json&h=5"
author name, url (DBLP profile URL), and optional notes with affiliation information.GET https://dblp.org/search/venue/api| Param | Type | Required | Description |
|---|---|---|---|
| q | string | Yes | Venue name query |
| format | string | No | Response format: json, xml |
| h | integer | No | Number of results |
| f | integer | No | Starting offset |
curl "https://dblp.org/search/venue/api?q=NeurIPS&format=json&h=5"
GET https://dblp.org/pid/{pid}.json| Param | Type | Required | Description |
|---|---|---|---|
| pid | string | Yes | DBLP person ID (e.g., h/GeoffreyEHinton) from author search results |
curl "https://dblp.org/pid/h/GeoffreyEHinton.json"
No published rate limits. DBLP does not enforce strict API quotas. However, the service is provided by a non-profit institution with limited resources. Best practices include limiting requests to a reasonable rate (1-2 per second), using caching for repeated queries, and downloading the DBLP XML dump for large-scale analyses instead of querying the API repeatedly.
Get a complete, chronological list of publications for a researcher:
# Step 1: Find the author's DBLP PID
curl "https://dblp.org/search/author/api?q=Jure+Leskovec&format=json&h=1"
# Step 2: Fetch their full profile
curl "https://dblp.org/pid/l/JureLeskovec.json"
Search for publications at a specific venue in a given year:
curl "https://dblp.org/search/publ/api?q=venue:ICML+year:2024&format=json&h=50"
Use DBLP records to find DOIs and link to other metadata sources:
curl "https://dblp.org/search/publ/api?q=attention+is+all+you+need&format=json&h=1" | jq '.result.hits.hit[0].info.doi'