paper-deep-reader
paper-deep-reader is a Literature review & citations skill for AI agents, published by Linwei-Chen in the paper-deep-reader-skill repository on GitHub. Skillspace rates paper-deep-reader D (63/100) and it passed the safety scan; the rating is based on static analysis only.
为单篇学术论文生成来源可追溯、图文交错、零背景可进入且具博士级技术深度的中文或英文解读。默认按“一句话总结、背景与动机、核心方法、实验与结果、贡献与影响、结论”六部分成稿，首次出现即解释关键术语，用最小例子讲通机制，并截图、嵌入、逐一解读所有关键图表；兼容有视觉与纯文本环境。用户提供 PDF、URL、DOI、预印本标识、标题或全文并要求论文解读、精读、讲清楚、逐关键图表、方法/公式/实验解释时使用。只问局部问题时可定向回答；不用于全文逐句翻译或多论文综述。
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 29
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
- 80 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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
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