High-fidelity academic document parsing (MinerU) + scientific literature retrieval (SciVerse), with one-command setup. Use when the user wants to parse/convert a PDF, image, Word, PPT, or Excel into Markdown/JSON — especially papers with formulas, tables, or scanned/multi-column layout ("解析PDF", "PDF转markdown", "提取论文内容", "公式转LaTeX", "mineru", "pdf2md"); to search scientific papers / literature ("文献检索", "sciverse", "找论文", "semantic search papers"); or to bootstrap this toolchain on a new device ("配置文档解析环境", "新设备装 mineru/sciverse"). For generic PDF ops (merge, split, rotate, fill forms, plain text extract) prefer the built-in `pdf` skill.
70
85%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The skill uses the `sciverse` MCP to perform literature search, which returns papers and content authored by outsiders.
d2d5ed7
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.