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Paper Impact Analyzer

输入一个或多个 arXiv 论文 ID，脚本依次调用 arXiv、GitHub、OpenAlex、Semantic Scholar 获取元数据、仓库热度、引用数与作者 h-index，汇总为含发表时间、录用会议、引用、作者与机构维度的 Markdown 报告，并给出 S/A/B/C/D 总评、置信度与数据完整度；单个数据源失败时降级继续。

haataa
haataa
热度 38.71
最近更新 2026-05-11 17:36:15
分类：数据依赖：代码执行 / 第三方 API应用场景：研究 / 报告撰写 / 数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add paper-impact-analyzer
Metadata
name
paper-impact-analyzer
description
Analyze academic paper impact using multiple data sources (arXiv, GitHub, OpenAlex, Semantic Scholar). Input an arXiv ID and get a multi-dimensional impact assessment with graceful degradation when APIs are unavailable. Use when evaluating paper influence, comparing papers, or assessing whether a paper is worth reading.
version
1.0.0
allowed-tools
Bash Read Write
license
MIT-0
metadata
{"skill-author":"haataa","version":"1.0.0","openclaw":{"emoji":"📊","requires":{"bins":["python"]}}}

Paper Impact Analyzer

Multi-source, fault-tolerant academic paper impact analysis.

When to Use

  • Evaluating a paper's academic influence or community adoption
  • Comparing impact across multiple papers
  • Deciding whether a paper is worth reading based on external signals
  • Checking GitHub stars, citation counts, venue acceptance for a paper
  • Assessing author credibility (h-index) for a paper
  • Batch-analyzing papers in a survey or literature review

How to Use

Single paper

Run the analysis script with an arXiv ID:

python scripts/analyze.py 2603.04948

Multiple papers

Pass multiple arXiv IDs separated by spaces:

python scripts/analyze.py 2603.04948 2602.15922 2603.05488 2602.22661

Output

The script prints a structured Markdown impact report for each paper, including:

Dimension Example
Publication date 2026-03-05 (20 days ago)
Venue acceptance ICLR 2026
GitHub repo 2,263 stars / 214 forks
Citation count 12 (OpenAlex) / 15 (S2)
Author h-index First author h=23
Affiliations UC Berkeley, UT Austin

Plus a synthesized overall rating (S/A/B/C/D) with confidence level and data completeness.

Data Sources (Priority Order)

  1. arXiv API — paper metadata, authors, abstract (always available)
  2. GitHub API — repo stars, forks, issues (most reliable external signal)
  3. OpenAlex API — citation count (free, no API key needed)
  4. Semantic Scholar API — citations, influential citations, author h-index (rate-limited)

Each source fails independently. The script always produces output using whatever data is available.

Design Philosophy

  • Graceful degradation: Every API call is wrapped in try/except with timeouts. If Semantic Scholar returns 429, the report still includes arXiv + GitHub + OpenAlex data.
  • Age-aware scoring: Papers < 3 months old are scored primarily on GitHub + venue + team. Papers > 1 year old are scored primarily on citations.
  • No API keys required: All data sources used are free and keyless.
  • Single file: The entire implementation is in scripts/analyze.py with zero external dependencies (stdlib only).