agentCLAWHUBUnverified
CNKI Scholar
中文学术论文搜索工具。搜索中英文论文，覆盖知网、万方、维普等中文数据库的论文。Use when: 用户说「搜论文」「查文献」「知网」「CNKI」「搜索中文学术论文」「找中文文献」，或需要搜索、下载、引用中英文论文。支持OpenAlex API（免费，2亿+论文）和Crossref API（DOI覆盖）。Also... Skill: CNKI Scholar Owner: shaopanguo Summary: 中文学术论文搜索工具。搜索中英文论文，覆盖知网、万方、维普等中文数据库的论文。Use when: 用户说「搜论文」「查文献」「知网」「CNKI」「搜索中文学术论文」「找中文文献」，或需要搜索、下载、引用中英文论文。支持OpenAlex API（免费，2亿+论文）和Crossref API（DOI覆盖）。Also... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-01T16:40:56.908Z | user Initial release - 中文学术论文搜索工具（基于OpenAlex API） Archive index: Archive v1.0.0: 5 files, 6895 bytes Files: references/citation-formats.md (2
OpenClaw
Rank
62
Safety
84
Downloads
2.2k
Updated
Oct 9, 2026
Version
1.0.0
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 2.2K downloads reported by the source. Last updated 10/9/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 9, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 9, 2026
- Adoption signal
- 2.2K downloadsadoption · observed Oct 9, 2026
- Latest release
- 1.0.0release · observed Apr 1, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s1778hhgkhb4zd5s23ayrb535n83w2e2:cnki-scholar- Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-shaopanguo-cnki-scholar/snapshot"
Documentation
CLAWHUB
11,616 characters of source documentation, loaded on request.
Extracted files
5 files captured from the source.
SKILL.md
---
name: cnki-scholar
description: "中文学术论文搜索工具。搜索中英文论文，覆盖知网、万方、维普等中文数据库的论文。Use when: 用户说「搜论文」「查文献」「知网」「CNKI」「搜索中文学术论文」「找中文文献」，或需要搜索、下载、引用中英文论文。支持OpenAlex API（免费，2亿+论文）和Crossref API（DOI覆盖）。Also activate when: 用户需要学术搜索、论文元数据提取、引用格式生成。"
---
# CNKI Scholar — 中文学术论文搜索
基于OpenAlex和Crossref API的学术搜索工具，覆盖中英文论文（包括知网收录的论文）。
## 数据源
| 数据源 | 覆盖范围 | 优势 | 限制 |
|--------|----------|------|------|
| **OpenAlex** | 2亿+论文 | 免费、数据全、有被引量 | 部分中文论文元数据不完整 |
| **Crossref** | DOI论文 | DOI解析准确 | 无被引量、中文覆盖少 |
| **百度学术** | 中英文 | 知网论文覆盖好 | 需浏览器自动化 |
## 核心功能
### 1. 搜索论文
使用OpenAlex API搜索：
```bash
curl -s "https://api.openalex.org/works?search=YOUR_QUERY&per_page=10"
```
支持的筛选参数：
- `search=` — 关键词搜索
- `filter=publication_year:2020-2025` — 年份范围
- `filter=cited_by_count:>10` — 最低被引量
- `filter=primary_location.source.id:SOURCE_ID` — 特定期刊
- `sort=cited_by_count:desc` — 按被引量排序
### 2. 提取元数据
每个结果包含：
- 标题 (title)
- 作者 (authorships[].author.display_name)
- 发表年份 (publication_year)
- 期刊 (primary_location.source.display_name)
- DOI (doi)
- 被引量 (cited_by_count)
- OpenAlex ID (id)
### 3. 下载PDF
OpenAlex提供OA（开放获取）链接：
- 检查 `open_access.is_oa` 字段
- 获取 `open_access.oa_url` 字段
- 如果是OA论文，直接下载PDF
### 4. 导出引用
支持格式：
- **APA 7th**: 作者. (年份). 标题. 期刊. DOI
- **BibTeX**: 自动生成BibTeX条目
- **GB/T 7714**: 中国标准引用格式
## 使用示例
### 搜索示例
```
用户：帮我搜一下多智能体编队控制的论文
→ 调用OpenAlex API搜索 "multi-agent formation control"
→ 返回top 10结果，按被引量排序
→ 展示标题、作者、年份、被引量、期刊
```
### 下载PDF示例
```
用户：这篇论文能下载吗？DOI: 10.1109/tie.2017.2701778
→ 检查OpenAlex的open_access字段
→ 如果是OA，提供下载链接
→ 如果不是OA，建议其他获取方式
```
### 引用导出示例
```
用户：帮我生成这篇论文的APA引用
→ 解析元数据
→ 生成APA 7th格式：
Ge, X., & Han, Q.-L. (2017). Distributed Formation Control...
IEEE Transactions on Industrial Electronics. https://doi.org/...
```
## API调用脚本
### 搜索函数
```bash
search_papers() {
local query="$1"
local limit="${2:-10}"
local year_filter="${3:-}"
local url="https://api.openalex.org/works?search=${query}&per_page=${limit}"
if [ -n "$year_filter" ]; then
url="${url}&filter=publication_year:${year_filter}"
fi
curl -s "$url" | python3 -c "
import json, sys
d = json.load(sys.stdin)
for i, w in enumerate(d.get('results', []), 1):
authors = ', '.join([a['author'].get('display_name','') for a in w.get('authorships',[])[:3]])
if len(w.get('authorships',[])) > 3:
authors += ' et al.'
source = ''
if w.get('primary_location',{}).get('source'):
source = w['primary_location']['source'].get('display_name','')
print(f\"{i}. {w.get('title','')}\")
print(f\" 作者: {authors}\")
print(f\" 年份: {w.get('publication_year','')}\")
print(f\" 期刊: {source}\")
print(f\" 被引: {w.get('cited_by_count',0)}\")
print(f\" DOI: {w.get('doi','')}\")
oa = w.get('open_access',{})
if oa.get('is_oa'):
print(f\" PDF: {oa.get('oa_url','')}\")
print()
"
}
```
### 获取论文详情
```bash
get_paper_by_doi() {
local doi="$1"
curl -s "https://api.openalex.org/works/doi:${doi}"
}
```
_meta.json
{
"ownerId": "kn79ddbhpzk0btfyecjf0rk8d183wxw7",
"slug": "cnki-scholar",
"version": "1.0.0",
"publishedAt": 1775061656908
}references/citation-formats.md
# 引用格式模板
## APA 7th 格式
### 期刊论文
```
作者1, 作者2, & 作者3. (年份). 论文标题. 期刊名, 卷(期), 页码. DOI
```
示例：
```
Ge, X., & Han, Q.-L. (2017). Distributed formation control of networked
multi-agent systems using a dynamic event-triggered communication mechanism.
IEEE Transactions on Industrial Electronics, 64(9), 7731-7740.
https://doi.org/10.1109/tie.2017.2701778
```
### 作者规则
- 1-20位作者：全部列出
- 21位以上：前19位 + ... + 最后一位
- 中国作者：姓在前，名缩写
- 正确：Li, X., & Wang, Y.
- 错误：Xiaoduo Li, Yi Wang
### 多作者格式
- 2位：Author1, & Author2.
- 3位以上：Author1, Author2, & Author3.
## GB/T 7714 格式（中国标准）
### 期刊论文 [J]
```
[序号] 作者. 题名[J]. 刊名, 年, 卷(期): 起止页码.
```
示例：
```
[1] GE X, HAN Q L. Distributed formation control of networked multi-agent
systems using a dynamic event-triggered communication mechanism[J]. IEEE
Transactions on Industrial Electronics, 2017, 64(9): 7731-7740.
```
### 学位论文 [D]
```
[序号] 作者. 题名[D]. 保存地点: 保存单位, 年份.
```
### 会议论文 [C]
```
[序号] 作者. 题名[C]//会议名称. 出版地: 出版者, 年: 页码.
```
## BibTeX 格式
```bibtex
@article{ge2017distributed,
author = {Ge, Xiaohua and Han, Qing-Long},
title = {Distributed Formation Control of Networked Multi-Agent Systems
Using a Dynamic Event-Triggered Communication Mechanism},
journal = {IEEE Transactions on Industrial Electronics},
year = {2017},
volume = {64},
number = {9},
pages = {7731--7740},
doi = {10.1109/tie.2017.2701778}
}
```
### BibTeX Key 命名规则
```
姓氏年份关键词
ge2017distributed
li2018event
```
## RIS 格式（EndNote/Zotero）
```
TY - JOUR
AU - Ge, Xiaohua
AU - Han, Qing-Long
TI - Distributed Formation Control of Networked Multi-Agent Systems
JO - IEEE Transactions on Industrial Electronics
VL - 64
IS - 9
SP - 7731
EP - 7740
PY - 2017
DO - 10.1109/tie.2017.2701778
ER -
```
## 格式选择指南
| 场景 | 推荐格式 |
|------|----------|
| 英文论文 | APA 7th |
| 中文论文 | GB/T 7714 |
| LaTeX写作 | BibTeX |
| EndNote/Zotero | RIS |
| Word写作 | APA 或 GB/T |references/openalex-fields.md
# OpenAlex API 字段说明
## 搜索接口
```
GET https://api.openalex.org/works?search=QUERY&per_page=N
```
### 常用参数
| 参数 | 说明 | 示例 |
|------|------|------|
| `search` | 关键词搜索 | `search=multi-agent control` |
| `per_page` | 每页数量 | `per_page=10` |
| `page` | 页码 | `page=1` |
| `filter` | 筛选条件 | `filter=publication_year:2023` |
| `sort` | 排序 | `sort=cited_by_count:desc` |
### Filter 语法
```
filter=field:value # 精确匹配
filter=field:>value # 大于
filter=field:<value # 小于
filter=field:value1|value2 # 或
filter=field1:value1,field2:value2 # 且
```
### 常用 filter 字段
| 字段 | 说明 | 示例 |
|------|------|------|
| `publication_year` | 发表年份 | `publication_year:2020-2025` |
| `cited_by_count` | 被引量 | `cited_by_count:>50` |
| `primary_location.source.id` | 期刊ID | `primary_location.source.id:S12345` |
| `open_access.is_oa` | 是否开放获取 | `open_access.is_oa:true` |
| `type` | 文献类型 | `type:article` |
## 返回字段
### Work 对象
```json
{
"id": "https://openalex.org/W1234567890",
"doi": "https://doi.org/10.1109/xxx",
"title": "Paper Title",
"publication_year": 2023,
"cited_by_count": 100,
"open_access": {
"is_oa": true,
"oa_url": "https://example.com/paper.pdf"
},
"authorships": [
{
"author": {
"id": "https://openalex.org/A12345",
"display_name": "John Doe"
},
"institutions": [...]
}
],
"primary_location": {
"source": {
"display_name": "IEEE Transactions on...",
"issn": "1234-5678"
}
},
"concepts": [...],
"referenced_works": [...],
"related_works": [...]
}
```
### 获取单篇论文
```
GET https://api.openalex.org/works/doi:10.1109/xxx
GET https://openalex.org/W1234567890
```
### 搜索作者
```
GET https://api.openalex.org/authors?search=John+Doe
```
### 搜索期刊/来源
```
GET https://api.openalex.org/sources?search=IEEE+Transactions
```
## Rate Limits
- 无需API Key：100,000次/天，10次/秒
- 有API Key：无限制
- 注册地址：https://openalex.org/#api-key
## 中国机构ID
| 机构 | OpenAlex ID |
|------|-------------|
| 清华大学 | I12345... |
| 北京大学 | I12345... |
| 浙江大学 | I12345... |
可通过机构筛选论文：
```
filter=authorships.institutions.id:I12345
```skill-card.md
## Description: CNKI Scholar helps agents search Chinese and English academic papers, retrieve scholarly metadata, check open-access PDF availability, and generate citations using OpenAlex and Crossref-oriented workflows. This skill is ready for commercial/non-commercial use. ## Publisher: [shaopanguo](https://clawhub.ai/user/shaopanguo) ### License/Terms of Use: MIT-0 ## Use Case: Developers, researchers, and external users can use this skill to guide academic-paper searches, DOI lookups, metadata extraction, open-access availability checks, and citation generation for Chinese and English literature. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Scholarly search terms, DOI lookups, confidential project names, regulated personal data, or proprietary research topics may be sent to external academic services such as OpenAlex or similar providers. Mitigation: Use only queries and identifiers that are appropriate to disclose to those services; avoid secrets, confidential project names, regulated personal data, and proprietary research terms unless disclosure is intended. Risk: Academic metadata, citation counts, Chinese-language coverage, and open-access availability can be incomplete or differ across OpenAlex, Crossref, CNKI, and related sources. Mitigation: Verify important bibliographic details, citation counts, and access status against authoritative publisher, DOI, institutional, or database records before relying on them. ## Reference(s): - [CNKI Scholar on ClawHub](https://clawhub.ai/shaopanguo/skills/cnki-scholar) - [OpenAlex API fields](artifact/references/openalex-fields.md) - [Citation format templates](artifact/references/citation-formats.md) - [OpenAlex Works API](https://api.openalex.org/works?search=QUERY&per_page=N) ## Skill Output: **Output Type(s):** [text, markdown, code, shell commands, guidance] **Output Format:** [Markdown guidance with inline shell commands, API query examples, metadata summaries, and citation examples] **Output Parameters:** [1D] **Other Properties Related to Output:** [May include paper titles, authors, publication years, venue names, DOI values, citation counts, open-access links, and formatted APA, BibTeX, GB/T 7714, or RIS citations.] ## Skill Version(s): 1.0.0 (source: release evidence) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
{
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"sourceUrl": "https://clawhub.ai/shaopanguo/skills/cnki-scholar",
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"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-shaopanguo-cnki-scholar/contract",
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}Record generated Oct 9, 2026.