Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add YuanyuanMa03/academic-research-skills --skill cnki-advanced-searchgit clone --depth 1 https://github.com/YuanyuanMa03/academic-research-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-advanced-search)<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-advanced-search"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-advanced-search/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-advanced-search"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-advanced-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00050 | $0.02153 |
| Opus 5 | $0.00025 | $0.01077 |
| Sonnet 5 | $0.00010 | $0.00431 |
| Haiku 4.5 | $0.00005 | $0.00215 |
Grade A, and why
cnki-advanced-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
};
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 189 lines · 50 tokens per session scan A 940702c5d26c
cnki-advanced-search is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 50 tokens to every session and 2,153 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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