MCPInstall

wos-paper-detail

Get detailed information for a paper by WoS ID (e.g., WOS:000779183600001).

Installs
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/cookjohn/wos-skills --skill wos-paper-detail
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads wos-paper-detail automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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
  };
}

Step 4: Present Results

Format the output as a structured summary:

## {Title}

**Authors**: {authors joined by "; "}
**Source**: {source}, Vol. {volume}, Iss. {issue}, pp. {pages}
**Published**: {published}
**DOI**: {doi}
**Document Type**: {docType}
**WoS ID**: {accessionNumber}

### Abstract
{abstract}

### Keywords
- **Author Keywords**: {authorKeywords}
- **Keywords Plus**: {keywordsPlus}

### Metrics
- **Times Cited (WOSCC)**: {citedCount}
- **Times Cited (All DB)**: {alldbCited}
- **References**: {refsCount}
- **JIF ({jifYear})**: {jif} (Five Year: {jifFiveYear})
- **JCR Quartile**: {jcrQuartile}

### Classification
- **Research Areas**: {researchAreas}
- **WoS Categories**: {wosCategories}
- **ISSN**: {issn} | **eISSN**: {eissn}

### Full Text Links
{list of ftLinks}

Offer next actions:

  • "Use /wos-export {WoS ID} to export this paper"
  • "Use /wos-download {WoS ID} to download PDF"

Key CSS Selectors (Full Record Page)

ElementSelectorNotes
Title[data-ta="FullRTa-fullRecordtitle-0"]
Authors[data-ta^="SumAuthTa-DisplayName-author-en"]
Abstractdiv.abstract--instance
Source labelh3[data-ta="FullRTa-sourceLabel"]Parent span has JCR popup; split on "arrow_back"
DOIa[href*="doi.org"]
Author Keywordsh3#FRkeywordsTa-authorKeywordsLabel → parent a tagsUse parentElement.querySelectorAll('a')
Keywords PlusSame pattern with "Keywords Plus" label
Citations (WOSCC)a[data-ta*="times-cited-count-link-WOSCC"]Full record page only
Citations (All DB)a[data-ta*="times-cited-count-link-ALLDB"]Full record page only
Referencesa[data-ta*="refCountLink"]Full record page only
Metadata fieldsh3 label → parentElement → non-h3 childrenVolume, Issue, Page, Published, etc.
JIFInside app-jcr-sidenav text contentRegex: /Impact Factor\s*™?\s*(\d{4})\s*([\d.]+)/
Full text linksa[data-ta^="FRLinkTa"]

Notes

  • This skill uses 2 tool calls: navigate_page + evaluate_script
  • IMPORTANT: Full record page uses different citation selectors than search results page:
    • Search results: a[data-ta="stat-number-citation-related-count"]
    • Full record: a[data-ta*="times-cited-count-link-WOSCC"]
  • Source extraction must split on "arrow_back" to avoid capturing JCR popup content
  • Keywords must use parentElement.querySelectorAll('a'), NOT nextElementSibling
  • JIF is embedded in JCR sidenav popup text, not in a standalone element

FAQ

What does the wos-paper-detail skill do?

Get detailed information for a paper by WoS ID (e.g., WOS:000779183600001).

How do I install wos-paper-detail?

Run npx skills add https://github.com/cookjohn/wos-skills --skill wos-paper-detail in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/wos-paper-detail/ (personal) or .claude/skills/wos-paper-detail/ (project).

Which AI agents can use wos-paper-detail?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is wos-paper-detail safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains wos-paper-detail?

It is published by cookjohn in cookjohn/wos-skills. It has 63 recorded installs.

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