
Cnki Advanced Search
- 615 installs
- 811 repo stars
- Updated March 13, 2026
- cookjohn/cnki-skills
cnki-advanced-search is an agent skill that runs precise, field-filtered searches on the CNKI academic database for Chinese-language papers, theses, and journal articles.
About
cnki-advanced-search is a cookjohn/cnki-skills agent skill that parses natural-language search criteria and executes filtered queries on CNKI's advanced search interface. It supports subject, title, keyword, and author fields plus date ranges and source category filters such as SCI, EI, CSSCI, and 北大核心. The skill targets developers and researchers gathering Chinese-language academic literature who need precision beyond simple keyword search. It uses CNKI's old-style advanced search interface because that is the only UI exposing source category checkboxes. Invoke it when an agent must retrieve theses, journal articles, or conference papers with explicit bibliographic constraints.
- Performs advanced CNKI search using the legacy interface that supports source category checkboxes (SCI/EI/CSSCI/北大核心).
- Parses natural language search criteria into 8 targeted fields including author, title, journal, date range and subject
- Automates browser navigation to https://kns.cnki.net/kns/AdvSearch?classid=7NS01R8M followed by a single async evaluate_
- Supports multi-row Boolean logic and specific field selectors such as #au_1_value1, #magazine_value1, #startYear and #en
Cnki Advanced Search by the numbers
- 615 all-time installs (skills.sh)
- Ranked #1,567 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 615 |
|---|---|
| repo stars | ★ 811 |
| Last updated | March 13, 2026 |
| Repository | cookjohn/cnki-skills ↗ |
How do you run advanced filtered searches on CNKI?
Run precise, field-filtered searches on the CNKI academic database when gathering Chinese-language research papers, theses, and journal articles.
Who is it for?
Developers and researchers who need precise CNKI literature searches with author, journal, and source-category filters.
Skip if: English-only PubMed or Google Scholar searches unrelated to the CNKI Chinese academic database.
When should I use this skill?
A developer needs filtered CNKI results by author, journal, date range, or SCI/EI/CSSCI source category.
What you get
Filtered CNKI search results for Chinese-language papers, theses, and journal articles matching bibliographic criteria.
- filtered CNKI paper results
- bibliographic search queries
By the numbers
- Supports 4 bibliographic search fields: subject, title, keyword, author
- Filters across 4 source categories: SCI, EI, CSSCI, 北大核心
Files
CNKI Advanced Search (高级检索)
Perform a filtered search on CNKI using the old-style advanced search interface (only interface with source category checkboxes).
Arguments
$ARGUMENTS describes the search criteria in natural language. Parse it to identify:
- Subject keywords (主题) — default field
- Title keywords (篇名)
- Keywords (关键词)
- Author name (作者) — separate field
#au_1_value1 - Journal/source (文献来源) — separate field
#magazine_value1 - Date range (时间范围) —
#startYear/#endYear - Source category (来源类别:SCI, EI, 北大核心, CSSCI, CSCD)
Steps
1. Navigate
Use mcp__chrome-devtools__navigate_page → https://kns.cnki.net/kns/AdvSearch?classid=7NS01R8M
2. Search + get results (single async evaluate_script)
Replace placeholder values with actual search criteria:
async () => {
// --- Config: fill in actual values ---
const query = "KEYWORDS"; // row 1 search keywords
const fieldType = "SU"; // SU=主题, TI=篇名, KY=关键词, TKA=篇关摘, AB=摘要
const query2 = ""; // row 2 keywords (optional, "" to skip)
const fieldType2 = "KY"; // row 2 field type
const rowLogic = "AND"; // AND=并且, OR=或者, NOT=不含 (between row 1 and 2)
const sourceTypes = ["CSSCI"]; // any of: "SCI", "EI", "hx", "CSSCI", "CSCD" ([] = all)
const startYear = ""; // e.g. "2020" or "" for no limit
const endYear = ""; // e.g. "2025" or "" for no limit
const author = ""; // author name or ""
const journal = ""; // journal name or ""
// --- Wait for form ---
await new Promise((r, j) => {
let n = 0;
const c = () => { if (document.querySelector('#txt_1_value1')) r(); else if (n++ > 30) j('timeout'); else setTimeout(c, 500); };
c();
});
// Captcha check
const cap = document.querySelector('#tcaptcha_transform_dy');
if (cap && cap.getBoundingClientRect().top >= 0) return { error: 'captcha' };
const selects = Array.from(document.querySelectorAll('select')).filter(s => s.offsetParent !== null);
// --- Source type: uncheck 全部, check targets ---
if (sourceTypes.length > 0) {
const gjAll = document.querySelector('#gjAll');
if (gjAll && gjAll.checked) gjAll.click();
for (const st of sourceTypes) {
const cb = document.querySelector('#' + st);
if (cb && !cb.checked) cb.click();
}
}
// --- Row 1: field type + keyword ---
selects[0].value = fieldType;
selects[0].dispatchEvent(new Event('change', { bubbles: true }));
const input = document.querySelector('#txt_1_value1');
input.value = query;
input.dispatchEvent(new Event('input', { bubbles: true }));
// --- Row 2: field type + keyword (optional) ---
if (query2) {
selects[5].value = rowLogic; // row logic: AND/OR/NOT
selects[5].dispatchEvent(new Event('change', { bubbles: true }));
selects[6].value = fieldType2;
selects[6].dispatchEvent(new Event('change', { bubbles: true }));
const input2 = document.querySelector('#txt_2_value1');
input2.value = query2;
input2.dispatchEvent(new Event('input', { bubbles: true }));
}
// --- Author (optional) ---
if (author) {
const auInput = document.querySelector('#au_1_value1');
if (auInput) { auInput.value = author; auInput.dispatchEvent(new Event('input', { bubbles: true })); }
}
// --- Journal (optional) ---
if (journal) {
const magInput = document.querySelector('#magazine_value1');
if (magInput) { magInput.value = journal; magInput.dispatchEvent(new Event('input', { bubbles: true })); }
}
// --- Date range (optional) ---
if (startYear) { selects[14].value = startYear; selects[14].dispatchEvent(new Event('change', { bubbles: true })); }
if (endYear) { selects[15].value = endYear; selects[15].dispatchEvent(new Event('change', { bubbles: true })); }
// --- Submit ---
document.querySelector('div.search')?.click();
// Wait for results
await new Promise((r, j) => {
let n = 0;
const c = () => {
if (document.body.innerText.includes('条结果')) r();
else if (n++ > 40) j('timeout');
else setTimeout(c, 500);
};
setTimeout(c, 2000);
});
// Captcha check again
const cap2 = document.querySelector('#tcaptcha_transform_dy');
if (cap2 && cap2.getBoundingClientRect().top >= 0) return { error: 'captcha' };
return {
query, fieldType, query2, fieldType2, rowLogic,
sourceTypes, startYear, endYear, author, journal,
total: document.querySelector('.pagerTitleCell')?.innerText?.match(/([\d,]+)/)?.[1] || '0',
page: document.querySelector('.countPageMark')?.innerText || '1/1',
url: location.href
};
}3. Report
Advanced search: "{query}" ({fieldType}) + source: {sourceTypes} → {total} results.
Tool calls: 2 (navigate + evaluate_script)
Verified selectors (old-style interface)
Form fields
| Element | Selector / Select index | Notes |
|---|---|---|
| 行1 字段类型 | selects[0] | SU=主题, TI=篇名, KY=关键词, TKA=篇关摘, AB=摘要 |
| 行1 关键词 | #txt_1_value1 | main keyword input |
| 行1 行内第二词 | #txt_1_value2 | same-row AND/OR/NOT with first keyword |
| 行1 行内逻辑 | selects[2] | AND=并含, OR=或含, NOT=不含 |
| 行间逻辑 | selects[5] | AND=并且, OR=或者, NOT=不含 |
| 行2 字段类型 | selects[6] | same options as row 1 |
| 行2 关键词 | #txt_2_value1 | second row keyword |
| 行2 行内第二词 | #txt_2_value2 | |
| 作者 | #au_1_value1 | placeholder "中文名/英文名/拼音" |
| 作者单位 | #au_1_value2 | placeholder "全称/简称/曾用名" |
| 文献来源 | #magazine_value1 | placeholder "期刊名称/ISSN/CN" |
| 基金 | #base_value1 | |
| 起始年 | selects[14] / #startYear | <select> 1915-2026 |
| 结束年 | selects[15] / #endYear | <select> 2026-1915 |
| 检索按钮 | div.search | NOT input/button |
Source type checkboxes (来源类型)
| 来源 | Checkbox ID | Notes |
|---|---|---|
| 全部期刊 | #gjAll | 默认勾选,选其他前需取消 |
| SCI来源期刊 | #SCI | value="Y" |
| EI来源期刊 | #EI | value="Y" |
| 北大核心期刊 | #hx | value="Y" |
| CSSCI | #CSSCI | value="Y" |
| CSCD | #CSCD | value="Y" |
Multiple source types can be checked simultaneously (OR logic).
Results
| Element | Selector | Notes |
|---|---|---|
| Result count | .pagerTitleCell | text "共找到 X 条结果" |
| Page indicator | .countPageMark | text "1/300" |
Captcha detection
Check #tcaptcha_transform_dy element's getBoundingClientRect().top >= 0.
Important Notes
- Must use old-style URL (
kns.cnki.net/kns/AdvSearch). New interface (kns8s/AdvSearch) has NO source category checkboxes. - The
classid=7NS01R8Mparameter ensures the correct form layout loads. - Results page is compatible with
cnki-parse-resultsandcnki-navigate-pagesskills.
Related skills
How it compares
Use cnki-advanced-search when CNKI field filters and Chinese source categories matter instead of generic web search skills.
FAQ
Which CNKI search fields does cnki-advanced-search support?
The cnki-advanced-search skill supports subject, title, keyword, and author fields, plus date ranges and source category filters including SCI, EI, CSSCI, and 北大核心 on CNKI's advanced search interface.
Why does cnki-advanced-search use the old CNKI interface?
The cnki-advanced-search skill uses CNKI's old-style advanced search interface because it is the only CNKI UI that exposes source category checkboxes needed for SCI, EI, CSSCI, and 北大核心 filtering.