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-journal-tocgit 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-journal-toc)<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-journal-toc"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-journal-toc/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-journal-toc"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-journal-toc.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 | $0.00048 | $0.01771 |
| Opus 5 | $0.00024 | $0.00886 |
| Sonnet 5 | $0.00010 | $0.00354 |
| Haiku 4.5 | $0.00005 | $0.00177 |
Grade A, and why
cnki-journal-toc 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CNKI Journal Table of Contents (期刊目录浏览 + 原版目录下载)
Browse journal issues, extract the paper list, and optionally open/download the original TOC PDF (封面+目录扫描版).
Arguments
$ARGUMENTS describes what to browse:
{journal name}— which journal{year}(optional) — which year, defaults to latest{issue}(optional) — which issue numberdownload(optional) — if included, download the original TOC PDF
Examples:
计算机学报 2026 01期— browse 2026 issue 1计算机学报 2026 01期 download— download original TOC PDF计算机学报— shows latest (网络首发)
Steps
1. Navigate to journal detail page
If not already on a journal detail page (navi.cnki.net/knavi/detail):
- Use
cnki-journal-searchto find the journal - Use
mcp__chrome-devtools__list_pages+mcp__chrome-devtools__select_pageto switch to the journal detail tab (opens in new tab)
2. Select issue + extract papers (single async evaluate_script)
Replace YEAR and ISSUE with actual values (e.g., "2025", "No.01").
The "刊期浏览" tab is the default active view — no need to click it.
async () => {
const year = "YEAR";
const issue = "ISSUE"; // Format: "No.01", "No.12", etc.
const dls = document.querySelectorAll('#yearissue0 dl.s-dataList');
let target = null;
for (const dl of dls) {
if (dl.querySelector('dt')?.innerText?.trim() === year) {
target = Array.from(dl.querySelectorAll('dd a')).find(a => a.innerText.trim() === issue);
break;
}
}
if (!target) {
// Return available years and issues for the requested year
const available = Array.from(dls).map(dl => ({
year: dl.querySelector('dt')?.innerText?.trim(),
issues: Array.from(dl.querySelectorAll('dd a')).map(a => a.innerText.trim())
})).filter(y => y.year);
return { error: 'issue_not_found', year, issue, available: available.slice(0, 5) };
}
target.click();
// Wait for paper list to load
await new Promise((r, j) => {
let n = 0;
const c = () => {
const rows = document.querySelectorAll('#CataLogContent dd.row');
if (rows.length > 0) r();
else if (++n > 30) j('timeout');
else setTimeout(c, 500);
};
setTimeout(c, 1000);
});
// Extract papers
const rows = document.querySelectorAll('#CataLogContent dd.row');
const papers = Array.from(rows).map((dd, i) => ({
no: i + 1,
title: dd.querySelector('span.name a')?.innerText?.trim(),
authors: dd.querySelector('span.author')?.innerText?.trim()?.replace(/;$/, ''),
pages: dd.querySelector('span.company')?.innerText?.trim()
}));
// Get 原版目录 URL
const tocBtn = document.querySelector('a.btn-preview:not(.btn-back)');
return {
issueLabel: document.querySelector('span.date-list')?.innerText?.trim(),
paperCount: papers.length,
papers,
tocUrl: tocBtn?.href || null,
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.
- 12d ago First seen · 177 lines · 48 tokens per session scan A ea85d2087501
cnki-journal-toc is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 48 tokens to every session and 1,771 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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