cnki-parse-results

cnki-parse-results is a skill for Claude Code from YuanyuanMa03/academic-research-skills. It costs 43 tokens per session (1,153 once invoked), scanned A, original, MIT.

A parser for search results on CNKI, a Chinese academic database. It turns the visible results page into structured paper records.

In plain words
What is it for?
Use it after a CNKI search to extract titles, authors, journals, dates, and citation counts.
Why use it?
It saves you from copying paper details manually and checks whether the open page is actually a results page or needs a CAPTCHA solved.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the cnki-parse-results plugin — 1 skill shipped together

Good fit Use it after a CNKI search to extract titles, authors, journals, dates, and citation counts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yuanyuanma03/academic-research-skills/cnki-parse-results
Install

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.

Any agent
npx skills add YuanyuanMa03/academic-research-skills --skill cnki-parse-results
Clone the repo
git clone --depth 1 https://github.com/YuanyuanMa03/academic-research-skills

Made for: Claude Code.

Or install cnki-parse-results, the plugin that ships this one along with the rest of its 1 skill.

Wrote 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.

agentmods badge for cnki-parse-results

README.md
[![agentmods](https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-parse-results/github.svg)](https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-parse-results)
Your own site
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-parse-results"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-parse-results/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.

agentmods 80×15 button for cnki-parse-results

Your own site · 80×15
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/cnki-parse-results"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/cnki-parse-results.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,153 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.01153
Opus 5 $0.00022 $0.00576
Sonnet 5 $0.00009 $0.00231
Haiku 4.5 $0.00004 $0.00115

Measured 12d ago against content hash ffabd3e3ab48, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cnki-parse-results 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.

plugins/cnki-parse-results/skills/cnki-parse-results/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CNKI Parse Search Results

Extract structured paper data from the current CNKI search results page.

Prerequisites

The current Chrome page must be a CNKI search results page (URL contains kns.cnki.net and page shows "条结果").

Steps

1. Verify we are on a results page

Use mcp__chrome-devtools__take_snapshot. Verify the page contains "条结果". If not, inform the user that no search results page is currently open.

Check for captcha ("拖动下方拼图完成验证") - if found, notify user to solve it manually.

2. Extract results via JavaScript

Use mcp__chrome-devtools__evaluate_script with this function:

() => {
  const rows = document.querySelectorAll('.result-table-list tbody tr');
  const checkboxes = document.querySelectorAll('.result-table-list tbody input.cbItem');
  const results = Array.from(rows).map((row, index) => {
    const nameCell = row.querySelector('td.name');
    const titleLink = nameCell?.querySelector('a.fz14');
    const authorCell = row.querySelector('td.author');
    const sourceCell = row.querySelector('td.source');
    const dateCell = row.querySelector('td.date');
    const dataCell = row.querySelector('td.data');
    const quoteCell = row.querySelector('td.quote');
    const downloadCell = row.querySelector('td.download');
    const isOnlineFirst = !!nameCell?.querySelector('.marktip');

    return {
      number: index + 1,
      title: titleLink?.innerText?.trim() || '',
      url: titleLink?.href || '',
      exportId: checkboxes[index]?.value || '',
      authors: Array.from(authorCell?.querySelectorAll('a.KnowledgeNetLink') || []).map(a => a.innerText?.trim()),
      journal: sourceCell?.querySelector('a')?.innerText?.trim() || '',
      date: dateCell?.innerText?.trim() || '',
      database: dataCell?.innerText?.trim() || '',
      citations: quoteCell?.innerText?.trim() || '',
      downloads: downloadCell?.innerText?.trim() || '',
      isOnlineFirst: isOnlineFirst
    };
  });

  const totalText = document.querySelector('.pagerTitleCell')?.innerText || '';
  const totalMatch = totalText.match(/([\d,]+)/);
  const pageInfo = document.querySelector('.countPageMark')?.innerText || '';

  return {
    papers: results,
    totalCount: totalMatch ? totalMatch[1] : 'unknown',
    pageInfo: pageInfo
  };
}

Read the full file on GitHub · 111 lines

Changes

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.

  1. 12d ago First seen · 111 lines · 43 tokens per session scan A ffabd3e3ab48

Subscribe to this mod's changes

cnki-parse-results is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 43 tokens to every session and 1,153 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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