wos-paper-detail

wos-paper-detail is a skill for Claude Code from YuanyuanMa03/academic-research-skills. It costs 28 tokens per session (2,516 once invoked), scanned A, original, MIT.

A paper-record lookup tool for Web of Science. It opens a full record from a Web of Science ID or URL and extracts detailed paper information.

In plain words
What is it for?
Use it to inspect a specific scholarly paper from its Web of Science accession number or full-record link.
Why use it?
It avoids opening and reading a paper record by hand when you need structured metadata. Access may require signing in to Web of Science.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the wos-paper-detail plugin — 1 skill shipped together

Good fit Use it to inspect a specific scholarly paper from its Web of Science accession number or full-record link.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yuanyuanma03/academic-research-skills/wos-paper-detail
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 wos-paper-detail
Clone the repo
git clone --depth 1 https://github.com/YuanyuanMa03/academic-research-skills

Made for: Claude Code.

Or install wos-paper-detail, 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 wos-paper-detail

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

agentmods 80×15 button for wos-paper-detail

Your own site · 80×15
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/wos-paper-detail"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/wos-paper-detail.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,516 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.
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 $0.00028 $0.02516
Opus 5.5 $0.00011 $0.01006
Sonnet 5.5 $0.00006 $0.00503
Haiku 4.5 $0.00003 $0.00252

Measured today against content hash 65897c814be7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wos-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 today.

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/wos-paper-detail/skills/wos-paper-detail/SKILL.md · 224 lines

How it starts

The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.

WoS Paper Detail

Navigate to a WoS full record page and extract comprehensive paper metadata.

Steps

Step 1: Parse Input

Accept either:

  • WoS Accession Number: WOS:000779183600001
  • Full URL: https://www.webofscience.com/wos/woscc/full-record/WOS:000779183600001

Extract the WoS ID if a full URL is provided.

Step 2: Navigate

navigate_page({
  url: "{BASE_URL}/wos/woscc/full-record/{WOS_ID}",
  initScript: "Object.defineProperty(navigator, 'webdriver', {get: () => undefined})"
})

Step 3: Extract Full Record Data

async () => {
  // Wait for full record to load
  for (let i = 0; i < 30; i++) {
    if (document.querySelector('[data-ta="FullRTa-fullRecordtitle-0"]')) break;
    await new Promise(r => setTimeout(r, 500));
  }
  await new Promise(r => setTimeout(r, 1500));

  // Check access
  if (document.body.innerText.includes('Sign in') && !document.querySelector('[data-ta="FullRTa-fullRecordtitle-0"]')) {
    return { status: 'login_required' };
  }

  // Helper: get value for a labeled field (h3 label -> parent's non-h3 children)
  const getField = (label) => {
    const h3 = [...document.querySelectorAll('h3')].find(h => h.textContent.trim() === label);
    if (!h3) return '';
    const parent = h3.parentElement;
    const valueEls = [...parent.children].filter(el => el.tagName !== 'H3');
    return valueEls.map(s => s.textContent?.trim()).join(' ').substring(0, 300) || '';
  };

  // Title
  const title = document.querySelector('[data-ta="FullRTa-fullRecordtitle-0"]')?.textContent?.trim() || '';

  // Authors
  const authors = [...document.querySelectorAll('[data-ta^="SumAuthTa-DisplayName-author-en"]')]
    .map(a => a.textContent?.trim());

  // Abstract
  const abstract = document.querySelector('div.abstract--instance')?.textContent?.trim() || '';

  // Source/Journal - extract only journal name from the JCR sidenav component
  let source = '';
  const sourceSpan = document.querySelector('h3[data-ta="FullRTa-sourceLabel"]')?.parentElement?.querySelector('span.section-label-data');
  if (sourceSpan) {
    // The span contains app-jcr-sidenav with journal name + popup. Get first text content before "arrow_back"
    const fullText = sourceSpan.textContent?.trim() || '';
    source = fullText.split('arrow_back')[0].trim();
  }
  if (!source) {
    source = document.querySelector('.summary-source-title-link')?.firstChild?.textContent?.trim() || '';
  }

  // DOI - try link first, fall back to h3 label extraction
  const doiEl = document.querySelector('a[href*="doi.org"]');
  const doi = doiEl?.textContent?.trim() || doiEl?.href?.replace(/.*doi\.org\//, '') || getField('DOI');

  // Metadata fields
  const volume = getField('Volume');
  const issue = getField('Issue');
  const pages = getField('Page');
  const published = getField('Published');
  const earlyAccess = getField('Early Access');
  const docType = getField('Document Type');
  const language = getField('Language');
  const accessionNumber = getField('Accession Number');
  const issn = getField('ISSN');
  const eissn = getField('eISSN');

  // Keywords - use parentElement.querySelectorAll('a') to get ALL keyword links
  const getKeywords = (label) => {
    const h3 = [...document.querySelectorAll('h3')].find(h => h.textContent.trim() === label);
    if (!h3) return [];
    return [...h3.parentElement.querySelectorAll('a')].map(a => a.textContent?.trim()).filter(Boolean);
  };
  const authorKeywords = getKeywords('Author Keywords');
  const keywordsPlus = getKeywords('Keywords Plus');

  // Categories
  const researchAreas = getField('Research Areas');
  const wosCategories = getField('Web of Science Categories');

  // Citations - full record page uses FullRRPTa selectors, NOT stat-number selectors
  const citedLinks = [...document.querySelectorAll('a[data-ta*="times-cited-count-link"]')];
  // WOSCC link text is "992 In Web of Science Core Collection" - extract leading number
  const extractNum = (text) => (text?.match(/^[\d,]+/) || ['0'])[0];
  const wosccCited = extractNum(citedLinks.find(a => a.getAttribute('data-ta')?.includes('-WOSCC'))?.textContent?.trim());
  const alldbCited = extractNum(citedLinks.find(a => a.getAttribute('data-ta')?.includes('-ALLDB'))?.textContent?.trim());
  const mainCited = extractNum(citedLinks.find(a => /^\d/.test(a.textContent?.trim()))?.textContent?.trim());
  const citedCount = wosccCited || mainCited || '0';

  // References
  const refsCount = document.querySelector('a[data-ta*="refCountLink"]')?.textContent?.trim() || '0';

  // JIF - extract from JCR popup/sidenav text content
  let jif = '', jifYear = '', jifFiveYear = '', jcrQuartile = '';
  const jcrPopup = document.querySelector('[class*="journal-content"], app-jcr-sidenav');
  if (jcrPopup) {
    const jcrText = jcrPopup.textContent || '';
    // Pattern: "Journal Impact Factor ™20242.8Five Year3.4"
    const jifMatch = jcrText.match(/Impact Factor\s*(?:™|TM)?\s*(\d{4})\s*([\d.]+)/);
    if (jifMatch) { jifYear = jifMatch[1]; jif = jifMatch[2]; }
    const fyMatch = jcrText.match(/Five Year\s*([\d.]+)/);
    if (fyMatch) jifFiveYear = fyMatch[1];
    // Quartile: "159/316 Q3" pattern in JCR summary
    const qMatch = jcrText.match(/\d+\/\d+\s*(Q[1-4])/);
    if (qMatch) jcrQuartile = qMatch[1];
  }

  // Full text links
  const ftLinks = [...document.querySelectorAll('a[data-ta^="FRLinkTa"]')].map(a => ({
    text: a.textContent?.trim()?.replace(/open_in_new/g, '').trim(),
    href: a.href
  })).filter(l => l.text);

  return {
    status: 'ok',
    title, authors, abstract, source, doi,
    volume, issue, pages, published, earlyAccess,
    docType, language, accessionNumber, issn, eissn,
    authorKeywords, keywordsPlus,
    researchAreas, wosCategories,
    citedCount, alldbCited, refsCount,
    jif, jifYear, jifFiveYear, jcrQuartile,
    ftLinks
  };
}

Read the full file on GitHub · 224 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. today First seen · 224 lines · 28 tokens per session scan A 65897c814be7

Subscribe to this mod's changes

wos-paper-detail is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (75 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 2,516 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-29.

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