ieee-parse-results

ieee-parse-results is a skill for Claude Code from YuanyuanMa03/academic-research-skills. It costs 32 tokens per session (786 once invoked), scanned A, original, MIT.

A helper skill that extracts structured information from an IEEE Xplore search-results page that is already open in the browser. It does not navigate to a new search.

In plain words
What is it for?
Use it after manually opening, sorting, or filtering IEEE Xplore search results when another workflow needs the paper details in a structured form.
Why use it?
It turns the visible search results into structured data without repeating the search or changing the current page. It also checks that the page is an IEEE Xplore search-results page.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

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

Good fit Use it after manually opening, sorting, or filtering IEEE Xplore search results when another workflow needs the paper details in a structured form.

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

Made for: Claude Code.

Or install ieee-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 ieee-parse-results

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/yuanyuanma03/academic-research-skills/ieee-parse-results"><img src="https://agentmods.dev/badge/skills/yuanyuanma03/academic-research-skills/ieee-parse-results.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 786 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 $0.00032 $0.00786
Opus 5 $0.00016 $0.00393
Sonnet 5 $0.00006 $0.00157
Haiku 4.5 $0.00003 $0.00079

Measured 13d ago against content hash c8facd3c0fd4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ieee-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 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-parse-results/skills/ieee-parse-results/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parse Current IEEE Xplore Results Page

Extract structured data from an already-open IEEE Xplore search results page without navigating.

When to use

  • After the user has manually navigated to a search results page
  • When re-parsing results after sorting or filtering changes
  • Called internally by other skills

Steps

Step 1: Extract results from current page

Use evaluate_script (no navigation needed):

async () => {
  // Verify we are on a search results page
  if (!window.location.pathname.includes('/search')) {
    return { error: 'Not on an IEEE Xplore search results page.' };
  }

  // Wait for results if still loading
  for (let i = 0; i < 20; i++) {
    if (document.querySelectorAll('.List-results-items .result-item').length > 0) break;
    await new Promise(r => setTimeout(r, 500));
  }

  const items = document.querySelectorAll('.List-results-items .result-item');
  if (items.length === 0) {
    return { error: 'No results found on the current page. The page may still be loading.' };
  }

  const papers = [];
  for (let i = 0; i < items.length; i++) {
    const item = items[i];
    const titleLink = item.querySelector('h3 a[href*="/document/"]');
    const authors = [...item.querySelectorAll('.author a[href*="/author/"]')].map(a => a.textContent.trim());
    const pubLink = item.querySelector('.description a[href*="/xpl/"]');
    const publisherInfo = item.querySelector('.publisher-info-container');
    const infoText = publisherInfo?.textContent?.trim() || '';
    const yearMatch = infoText.match(/Year:\s*(\d{4})/);
    const docNumber = titleLink?.href?.match(/\/document\/(\d+)/)?.[1] || '';
    const itemText = item.textContent || '';
    const citedByMatch = itemText.match(/Cited by:.*?(\d+)/);
    const citedBy = citedByMatch ? citedByMatch[1] : '';
    const hasCheckbox = !!item.querySelector('input[type="checkbox"]');

    papers.push({
      rank: i + 1,
      title: titleLink?.textContent?.trim()?.replace(/<[^>]+>/g, '') || '',
      arnumber: docNumber,
      authors,
      publication: pubLink?.textContent?.trim() || '',
      year: yearMatch ? yearMatch[1] : '',
      info: infoText,
      citedBy,
      hasCheckbox,
    });
  }

  const resultCount = document.querySelector('.Dashboard-header span')?.textContent?.trim() || '';
  const currentUrl = window.location.href;
  const urlParams = Object.fromEntries(new URL(currentUrl).searchParams);

  return { papers, resultCount, currentUrl, urlParams };
}

Read the full file on GitHub · 88 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 · 88 lines · 32 tokens per session scan A c8facd3c0fd4

Subscribe to this mod's changes

ieee-parse-results is a skill published in the GitHub repository YuanyuanMa03/academic-research-skills (63 stars, last pushed 22d ago), licensed MIT. It adds 32 tokens to every session and 786 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.

Related

Other skills, from other repositories

cnki-exp-search-automation

A browser-based automation tool for CNKI, the China National Knowledge Infrastructure research database, that runs advanced literature searches and collects result lists and abstracts.

Drchronx/ai-agent-research-starter-kit · 54 tokens

gke-compute-classes

Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…

google/skills · 83 tokens

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

gke-reliability

Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).

google/skills · 73 tokens

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

google-cloud-solution-agentic-analytics-spark-knowledge-catalog

Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…

google/skills · 138 tokens