paper-read-brief

paper-read-brief is a Summarisation & information digests skill for AI agents, published by limouren2000 in the llms-dev-study repository on GitHub. Skillspace rates paper-read-brief C (71/100) and it passed the safety scan; the rating is based on static analysis only.

将机器学习、深度学习、多模态、生成式 AI 等论文整理成中文速读精要。用于用户给出 arXiv、PDF、论文网页、HTML、截图或论文文本,希望得到比摘要更可靠、比 paper-read 完整精读更短的版本:沿原论文每个章节和小节提取最核心、最重要的观点、方法机制、图表公式要点和关键结论;实验部分只压缩提炼实验目的、关键结果和作者想证明的结论,不逐表逐数字细讲,只有实现步骤或设置细节影响理解时才提炼。

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
756

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
94 / 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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.