paper-onion
paper-onion is a Research reports & synthesis skill for AI agents, published by didixuxu in the didi-skills repository on GitHub. Skillspace rates paper-onion D (66/100) and it passed the safety scan; the rating is based on static analysis only.
论文剥洋葱 — 逐层深入的论文阅读技能。将一篇学术论文拆解为四层渐进式阅读，最终生成一张手绘风格的思维导图笔记卡片（React artifact）。 当用户上传论文PDF、粘贴论文内容、给出论文链接，或说出以下任何意图时，使用此技能： - "帮我读这篇论文" / "分析这篇paper" - "论文笔记" / "论文总结" / "读论文" - "剥洋葱" / "逐层分析" - 上传了 .pdf 文件且内容看起来是学术论文 此技能与一次性输出报告的方式不同——它模拟真实的深度阅读过程，分四层逐步深入，每层都有明确的阅读任务和产出，最终浓缩为一张可保存的笔记卡。
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 74
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, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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
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