ieee-paper-detail

ieee-paper-detail is a skill for Claude Code from YuanyuanMa03/academic-research-skills. It costs 41 tokens per session (1,846 once invoked), scanned A, original, MIT.

A browser skill for collecting detailed information about a specific research paper from IEEE Xplore, a digital library for engineering and technology publications. It extracts items such as the abstract, authors, keywords, DOI, references, and PDF link.

In plain words
What is it for?
Use it to gather structured metadata for a paper identified by an article number, URL, or DOI.
Why use it?
It removes the need to copy paper details manually from an IEEE Xplore article page. It also checks for access problems such as bot challenges or required login.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

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

Good fit Use it to gather structured metadata for a paper identified by an article number, URL, or DOI.

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

Made for: Claude Code.

Or install ieee-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 ieee-paper-detail

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/ieee-paper-detail"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/ieee-paper-detail.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,846 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 $0.00041 $0.01846
Opus 5 $0.00020 $0.00923
Sonnet 5 $0.00008 $0.00369
Haiku 4.5 $0.00004 $0.00185

Measured 13d ago against content hash 568ba470c6c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ieee-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 13d 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/ieee-paper-detail/skills/ieee-paper-detail/SKILL.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

IEEE Xplore Paper Detail Extraction

Extract complete metadata from an IEEE Xplore article page.

Steps

Step 1: Navigate to article

Determine the article URL from $ARGUMENTS:

  • If an article number is given (e.g. 8876906): URL is {BASE_URL}/document/{ARNUMBER}/
  • If a full URL is given: use that URL directly
  • If a DOI is given: URL is https://doi.org/{DOI} (will redirect to IEEE Xplore)

Use navigate_page with initScript:

navigate_page({
  url: "{article_url}",
  initScript: "Object.defineProperty(navigator, 'webdriver', {get: () => undefined})"
})

If the article is already open in the current tab, skip navigation and go directly to Step 3.

Step 2: Check access

After navigation, verify:

  • If the page shows a captcha or bot challenge: tell the user "请在浏览器中完成验证后告知我。"
  • If the page URL no longer points to IEEE Xplore, the user may need to log in. Tell the user: "页面被重定向,请在浏览器中完成登录或认证后告知我。"

Step 3: Extract metadata

Use evaluate_script with built-in waiting. Do NOT use wait_for.

async () => {
  // Wait for article content to load (up to 15s)
  for (let i = 0; i < 30; i++) {
    if (document.querySelector('.document-title') || document.querySelector('h1[class*="title"]')) break;
    await new Promise(r => setTimeout(r, 500));
  }

  const result = {};

  // Title
  result.title = document.querySelector('.document-title span')?.textContent?.trim() ||
                 document.querySelector('h1[class*="title"]')?.textContent?.trim() || '';

  // Authors
  result.authors = [...document.querySelectorAll('.authors-info a[href*="/author/"]')]
    .map(a => a.textContent.trim()).filter(Boolean);

  // Abstract
  result.abstract = document.querySelector('.abstract-text div[xplmathjax]')?.textContent?.trim() ||
                    document.querySelector('.abstract-text')?.textContent?.trim() || '';

  // DOI
  const doiLink = document.querySelector('a[href*="doi.org"]');
  result.doi = doiLink?.textContent?.trim() || '';

  // Publication info
  result.publication = document.querySelector('.stats-document-abstract-publishedIn a')?.textContent?.trim() || '';

  // Meta info (Published in, Date, DOI, Publisher, Conference Location, etc.)
  const metaItems = document.querySelectorAll('.abstract-desktop-div .u-pb-1');
  result.metaInfo = [...metaItems].map(el => el.textContent.trim().replace(/\s+/g, ' ')).filter(Boolean);

  // Keywords - multiple fallback strategies (keywords section may need scrolling to load)
  // Strategy 1: keywords module links
  let kwLinks = document.querySelectorAll('.stats-keywords-module a');
  result.keywords = [...kwLinks].map(a => a.textContent.trim()).filter(Boolean);

  // Strategy 2: keyword list items
  if (result.keywords.length === 0) {
    const kwItems = document.querySelectorAll('.doc-keywords-list-theme li a, .doc-keywords-list li a');
    result.keywords = [...kwItems].map(a => a.textContent.trim()).filter(Boolean);
  }

  // Strategy 3: extract from the plain text citation (keywords field inside citation text)
  if (result.keywords.length === 0) {
    const kwMatch = document.body.innerText.match(/keywords:\s*\{([^}]+)\}/i);
    if (kwMatch) {
      result.keywords = kwMatch[1].split(';').map(k => k.trim()).filter(Boolean);
    }
  }

  // Strategy 4: meta tag
  if (result.keywords.length === 0) {
    const kwMeta = document.querySelector('meta[name="keywords"]');
    if (kwMeta) {
      result.keywords = kwMeta.content.split(',').map(k => k.trim()).filter(Boolean);
    }
  }

  // PDF link
  const pdfLink = document.querySelector('a[href*="stamp/stamp.jsp"]');
  result.pdfUrl = pdfLink?.href || '';

  // Article number from URL
  result.arnumber = window.location.pathname.match(/\/document\/(\d+)/)?.[1] || '';

  // Cited by count — use multiple strategies
  const citeMetric = [...document.querySelectorAll('.document-banner-metric')].find(el => el.textContent.includes('Cites'));
  result.citedBy = citeMetric?.querySelector('.document-banner-metric-count')?.textContent?.trim() || '';
  // Fallback: regex from button text like "70Cites inPapers"
  if (!result.citedBy) {
    const citeBtn = [...document.querySelectorAll('button')].find(b => b.textContent.includes('Cites'));
    const citeMatch = citeBtn?.textContent?.match(/(\d+)\s*Cites/);
    result.citedBy = citeMatch ? citeMatch[1] : '';
  }

  // Full text views
  const viewMetric = [...document.querySelectorAll('.document-banner-metric')].find(el => el.textContent.includes('Views'));
  result.fullTextViews = viewMetric?.querySelector('.document-banner-metric-count')?.textContent?.trim() || '';
  if (!result.fullTextViews) {
    const viewBtn = [...document.querySelectorAll('button, .document-banner-metric')].find(b => b.textContent.includes('Views'));
    const viewMatch = viewBtn?.textContent?.match(/(\d[\d,]*)\s*Full/);
    result.fullTextViews = viewMatch ? viewMatch[1] : '';
  }

  // Section headings (article structure / TOC)
  result.sections = [...document.querySelectorAll('.document-toc a, h2')]
    .map(el => el.textContent.trim())
    .filter(t => t && !t.includes('Abstract') && t.length < 100)
    .slice(0, 20);

  // References count
  const refSection = document.querySelector('#references');
  const refItems = document.querySelectorAll('.reference-container, [class*="reference-item"]');
  result.referenceCount = refItems.length;

  return result;
}

Read the full file on GitHub · 194 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. 13d ago First seen · 194 lines · 41 tokens per session scan A 568ba470c6c0

Subscribe to this mod's changes

ieee-paper-detail is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 41 tokens to every session and 1,846 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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