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 yipng05-max/-skills --skill cjournal-analyzergit clone --depth 1 https://github.com/yipng05-max/-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/yipng05-max/-skills/cjournal-analyzer)<a href="https://agentmods.dev/skills/yipng05-max/-skills/cjournal-analyzer"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/cjournal-analyzer/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/yipng05-max/-skills/cjournal-analyzer"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/cjournal-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00234 | $0.01941 |
| Opus 5 | $0.00117 | $0.00971 |
| Sonnet 5 | $0.00047 | $0.00388 |
| Haiku 4.5 | $0.00023 | $0.00194 |
Grade A, and why
cjournal-analyzer 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 9d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
C刊论文全面分析工具
Phase 1: 确定期刊与CNKI代码
- 从用户输入中提取期刊名称
- 查询
references/journal_codes.md获取CNKI代码(如"管理世界"→GLSJ) - 若未收录,用WebSearch搜索
site:navi.cnki.net/knavi/journals "{期刊名}"从URL提取代码 - 向用户确认期刊后继续
Phase 2: 浏览器数据采集
使用Chrome DevTools MCP工具从知网采集数据。
Step 2.1: 打开期刊页
navigate_page → https://navi.cnki.net/knavi/journals/{CODE}/detail
验证码处理:若页面出现"请完成安全验证"或"拖动下方拼图",立即提示用户:
"知网需要安全验证,请在浏览器中完成滑块验证,完成后告诉我。"
等用户确认后,用 navigate_page 重新加载页面。
Step 2.2: 提取期刊基本信息
() => {
const title = document.querySelector('h3')?.textContent?.trim() || '';
const info = {};
document.querySelectorAll('.detailInfo p, .s-info p').forEach(p => {
const text = p.textContent;
if (text.includes('主办单位')) info.sponsor = text.split(':')[1]?.trim();
if (text.includes('ISSN')) info.issn = text.split(':')[1]?.trim();
if (text.includes('CN')) info.cn = text.split(':')[1]?.trim();
if (text.includes('出版周期')) info.frequency = text.split(':')[1]?.trim();
if (text.includes('复合影响因子')) info.cif = text.split(':')[1]?.trim();
if (text.includes('综合影响因子')) info.aif = text.split(':')[1]?.trim();
});
return { title, ...info };
}
也可直接从snapshot中读取基本信息(StaticText节点)。
Step 2.3: 点击"论文"标签并提取年份期次
点击 uid 对应"论文"的链接,等待加载,然后提取:
() => {
const results = [];
document.querySelectorAll('dl[id$="_Year_Issue"]').forEach(dl => {
const year = dl.querySelector('dt em')?.textContent?.trim();
if (!year) return;
const issues = [];
dl.querySelectorAll('dd a').forEach(a => {
issues.push({ id: a.id, issue: a.textContent.trim(), value: a.getAttribute('value') });
});
results.push({ year: parseInt(year), issues });
});
return results;
}
筛选最近5年数据(当前年份 - 4 至当前年份)。若知网分页显示年份(每页显示部分年份),需翻页加载更多。
Step 2.4: 逐期采集文章列表
对每个期次,点击对应的期次链接(通过 click uid 或 evaluate_script 模拟点击),等待文章列表加载(wait_for 等待标题出现或等1-2秒),然后提取:
() => {
const articles = [];
document.querySelectorAll('#CatalogList dd.row').forEach(dd => {
const titleEl = dd.querySelector('span.name a');
const authorEl = dd.querySelector('span.author');
const pageEl = dd.querySelector('span.company');
const sectionEl = dd.closest('div')?.querySelector('dt.tit');
if (titleEl) {
articles.push({
title: titleEl.textContent.trim(),
url: titleEl.href,
authors: authorEl?.getAttribute('title')?.replace(/;$/,'') || '',
pages: pageEl?.getAttribute('title') || '',
section: sectionEl?.textContent?.trim() || ''
});
}
});
return articles;
}
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 175 lines · 234 tokens per session scan A 93ecd5c89dae
cjournal-analyzer is a skill published in the GitHub repository yipng05-max/-skills (285 stars, last pushed 4mo ago), licensed MIT. It adds 234 tokens to every session and 1,941 once invoked, about $0.0012 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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