scansci-pdf
scansci-pdf is a Literature review & citations skill for AI agents, published by Rimagination in the scansci-pdf repository on GitHub. Skillspace rates scansci-pdf F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.
Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.
下载学术论文。支持 DOI、arXiv ID、关键词搜索、批量下载、Elsevier API、WebVPN/CARSI 机构访问、下载失败排障。当用户要求下载论文(单篇或批量)、搜索文献、获取引文、配置 Elsevier/ScienceDirect API、或下载遇到 Cloudflare/验证页/代理问题时使用。用户仅讨论 PDF 解析/转换工具的对比或选型(如 pymupdf4llm vs MinerU)而无需检索文献证据时不要使用;只有确实要检索或下载文献时才加载本 skill。
- Grade
- F
- Quality
- 15 / 100
- Safety
- Unsafe
- GitHub stars
- 930
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Critical-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- destructive rm -rf on home/root
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.