paper-explainer SKILL.md skillA
paper-explainer from sanqi-cd/sanqi-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add sanqi-cd/sanqi-skills/paper-explainer@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- sanqi-cd/sanqi-skills
- Path
paper-explainer/SKILL.md- Versions recorded
- 3
- Latest version
- v1.1.0, committed Sep 29, 2026
- First version recorded
- Jun 4, 2026
- Size
- 7,273 bytes
- Repository stars
- 28
- License
- MIT
用通俗但准确的语言深度解释学术论文，覆盖问题背景、方法、公式、实验、创新、局限和相关工作，并输出可独立阅读的 Markdown 学习笔记。适用于论文精读、方法拆解、实验分析和跨领域理解；若证据不完整，必须继续获取全文或明确证据边界。Use for rigorous paper explanations that distinguish source claims, evidence, and interpretation instead of treating an abstract as the whole paper.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 论文解读 ## 目标 按「引言/方法/实验/结论」拆解论文，用通俗语言解读核心思想，标注可复现细节，输出一份结构化 Markdown 笔记。 ## 开始前准备 - [ ] 确认用户提供了 PDF 文件或 arXiv 链接 - [ ] 仅给论文标题时，先搜索论文再让用户确认是哪篇，不要盲猜 - [ ] 论文超过 50 页时，询问用户是否需要完整解读还是只解读核心部分 - [ ] PDF 扫描件 OCR 质量太差无法提取正文时，告知用户并停止 - [ ] 用户给多篇但未指定时，停下来确认 ## 工作流程 ### Step 1: 获取论文全文 - 如果是 PDF：提取正文（含标题、作者、摘要、所有章节） - 如果是 arXiv 链接：获取论文元数据和 PDF，提取正文 - 仅给标题时：搜索 arXiv / Google Scholar，列出候选，请用户确认后再获取全文 - 提取失败时明确告知原因，不编造内容 **产出**：论文完整正文 + 元数据（标题、作者、发表年份/会议、链接） ### Step 2: 识别论文结构 通读全文，识别各章节对应关系。常见结构映射： - Introduction / 引言 / 背景 → **引言** - Method / Proposed Approach / 方法 / 模型 → **方法** - Experiment / Evaluation / Results / 实验 / 结果 → **实验** - Conclusion / Discussion / 结论 / 讨论 → **结论** 如果论文结构不标准，按最接近的逻辑归类，并在笔记中说明归类依据。 **产出**：章节映射表 + 每个章节的核心要点速记 先判断论文类型，再调整阅读重点： - 算法/模型论文：目标函数、模块关系、计算代价、消融和基线公平性。 - 系统论文：工作负载、系统边界、吞吐/延迟、资源开销和故障条件。 - 实证/社会科学论文：研究设计、样本、变量、效应量、稳健性和外推范围。 - 综述论文：检索范围、分类框架、覆盖缺口和结论时效性。 ### Step 3: 逐章解读 对每个章节完成以下四项任务： **A. 核心内容简述**：用 3-5 句话概括本章做了什么，不用术语堆砌 **B. 通俗类比**：至少给 1 个生活化类比帮助理解。如"注意力机制就像一个读者在翻译句子时，每写一个词都会回看原文中最相关的部分" **C. 术语解释**：本章首次出现的专业术语给出简明解释（一句话），后续出现不重复 **D. 可复现标注**（重点在方法&实验章节）：标注数据集名称/规模、超参设置、硬件环境、关键实现细节。如缺信息则注明"论文未提及" …
Read the whole file at its exact version.
How to install
mdr add sanqi-cd/sanqi-skills/paper-explainer@sha256:d8624b21ee2c8729The line at the top of this page pins the label v1.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_axp3gvwmxjzmbrpa)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jun 4, 2026 and Sep 29, 2026, about one every 58 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-09-29 | 297b429 | 7,273 B | A | view · diff |
| v1.0.0 | 2026-08-03 | df6d69c | 6,963 B | A | view · diff |
| git:20260604.010b92e | 2026-06-04 | 010b92e | 5,604 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7273 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
sanqi-cd/sanqi-skills · 28 stars · license MIT · pushed 2026-10-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_axp3gvwmxjzmbrpa GET https://markdownregistry.com/api/v1/resolve?ref=sanqi-cd/sanqi-skills/paper-explainer GET https://markdownregistry.com/api/v1/blob/d8624b21ee2c87293d3d5b8cb9a5d5dfbb0925cfe6cdf9d87138b8e9415e4da0
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
More from sanqi-cd/sanqi-skills
Every file in sanqi-cd/sanqi-skills