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-paper-detailgit 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-paper-detail)<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-paper-detail"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-paper-detail/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-paper-detail"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-paper-detail.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 | $0.00042 | $0.01592 |
| Opus 5 | $0.00021 | $0.00796 |
| Sonnet 5 | $0.00008 | $0.00318 |
| Haiku 4.5 | $0.00004 | $0.00159 |
Grade A, and why
cnki-paper-detail 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 12d 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CNKI Paper Detail Extraction
Extract complete metadata from a CNKI paper detail page.
Arguments
$ARGUMENTS is optionally a CNKI paper detail URL (containing kcms2/article/abstract). If not provided, assumes the current page is already a paper detail page.
Steps
1. Navigate to the paper page (if URL provided)
If $ARGUMENTS contains a URL:
- Use
mcp__chrome-devtools__navigate_pagewith the URL. - Use
mcp__chrome-devtools__wait_forwith text["摘要"]and timeout 15000.
2. Check for captcha
Use mcp__chrome-devtools__take_snapshot. If "拖动下方拼图完成验证" found, notify user:
CNKI 正在显示滑块验证码。请在 Chrome 浏览器中手动完成拼图验证,完成后告诉我继续。
3. Extract paper metadata via JavaScript
Use mcp__chrome-devtools__evaluate_script with this function:
() => {
const brief = document.querySelector('.brief');
if (!brief) return { error: 'Paper detail section (.brief) not found' };
// Title
const title = brief.querySelector('h1')?.innerText?.trim()
?.replace(/\s*附视频\s*$/, '') // remove "附视频" suffix
?.replace(/\s*网络首发\s*$/, ''); // remove "网络首发" suffix
// Authors - first h3.author contains author links with sup tags
const authorH3s = brief.querySelectorAll('h3.author');
const authorSection = authorH3s[0];
const authors = [];
if (authorSection) {
const authorLinks = authorSection.querySelectorAll('a');
authorLinks.forEach(a => {
const name = a.innerText?.replace(/\d+$/, '').trim();
const supMatch = a.innerText?.match(/(\d+)$/);
const affiliationNum = supMatch ? supMatch[1] : '';
authors.push({ name, affiliationNum });
});
}
// Affiliations - second h3.author contains org links
const affiliations = [];
if (authorH3s.length > 1) {
const orgLinks = authorH3s[1].querySelectorAll('a');
orgLinks.forEach(a => {
affiliations.push(a.innerText?.trim());
});
}
// Abstract
const abstractEl = document.querySelector('.abstract-text');
const abstract = abstractEl?.innerText?.trim() || '';
// Keywords
const keywordsP = document.querySelector('p.keywords');
const keywords = keywordsP
? Array.from(keywordsP.querySelectorAll('a')).map(a => a.innerText?.replace(/;$/, '').trim())
: [];
// Fund
const fundsP = document.querySelector('p.funds');
const fund = fundsP?.innerText?.trim() || '';
// Classification code
const clcCode = document.querySelector('.clc-code');
const classification = clcCode?.innerText?.trim() || '';
// Journal/source
const docTop = document.querySelector('.doc-top');
const journal = docTop?.querySelector('a')?.innerText?.trim() || '';
// Online first / publication info
const headTime = document.querySelector('.head-time');
const pubInfo = headTime?.innerText?.trim() || '';
// Is online first?
const isOnlineFirst = !!brief.querySelector('.icon-shoufa');
// Article outline/TOC
const catalogList = document.querySelector('.catalog-list, .catalog-listDiv');
const toc = catalogList?.innerText?.trim() || '';
// Citation network counts
const citationTabs = document.querySelectorAll('ul.module-tab.tpl_lieteratures li');
const citationInfo = {};
citationTabs.forEach(li => {
const id = li.getAttribute('data-id');
const text = li.innerText?.trim();
const countMatch = text.match(/(\d+)/);
if (id) {
citationInfo[id] = {
label: text.replace(/\d+/, '').trim(),
count: countMatch ? parseInt(countMatch[1]) : 0
};
}
});
return {
title,
authors,
affiliations,
abstract,
keywords,
fund,
classification,
journal,
pubInfo,
isOnlineFirst,
toc,
citationInfo
};
}
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.
- 12d ago First seen · 184 lines · 42 tokens per session scan A 15e087b6b4be
cnki-paper-detail is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 42 tokens to every session and 1,592 once invoked, about $0.0002 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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