topic-knowledge-system SKILL.md skillA
topic-knowledge-system from linchunhui/paperreading-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add linchunhui/paperreading-skills/topic-knowledge-system@git:20261104.36521d0Pins git:20261104.36521d0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- linchunhui/paperreading-skills
- Path
skills/topic-knowledge-system/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261104.36521d0, committed Nov 4, 2026
- First version recorded
- Nov 4, 2026
- Size
- 3,172 bytes
- Repository stars
- 23
- License
- MIT
将多篇论文或技术资料按问题构建知识体系，复用已有调研，并用缺口驱动的多轮 GPT Researcher 扩展和核对论文，生成含 SVG 问题树、原文证据和论文原图的离线 HTML。适用于研究脉络和多方法对照，单篇摘要通常无需调用。.
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
# 专题知识体系 用一份有来源的专题数据生成可阅读的报告。总览把核心方法或概念连接到问题及其资料。章内小树在章节标题下从核心直接连接到竖排条目，每行带日期、做法和原文入口。点击条目可跳到正文。 先读[从论文集合到专题报告](references/paper-pipeline.md)，按六步串起人工材料、GPT Researcher、论文理解 Agent 和既有 PaperStudio 串讲。 1. **定范围。** 明确主题、读者、截至时间和允许来源，盘点人工选篇、论文库、已有解析和串讲。 2. **发现候选。** 将已有调研作为去重基线。获准联网时用 GPT Researcher 按缺口补经典与近期两轨。每轮检索后筛选并核对关键原文，再用新证据更新缺口、停止判断和下一轮查询。[多轮文献扩展](references/web-research.md) 3. **筛选论文。** 按标识去重，调用论文理解 Agent 的 screen 模式；摘要不足时探查引言、结论或关键方法页。分别记录相关性、纳入状态和证据状态，不能因未读附录判定缺实验。 4. **核对原文。** 调用 evidence 模式或复用同版本 evidence-bundle；关键证明、设置和消融按需读取附录，核心图表由会话视觉能力核验。审查重要事实的支持关系，保留原图和版本定位；只有需要完整单篇解读时才走 full。 5. **构建知识。** 按问题重组旧串讲与新证据，先对齐假设、输入输出和符号，再选择分支算例；不可统一时分开解释。分别记录明确继承、同条件比较、互补和约束不同的替代方案。发现证据缺口后带着具体问题返回检索，服从预算与本地来源限制。[综合与核验](references/synthesis.md) 6. **生成与复核。** 按[研究记录与交接](references/research-record.md)保存候选、事实引用、跨篇结论和缺口，再按[展示输入](references/input.md)生成 topic.json。新研究报告用 --research 校验已审结论与呈现字段的绑定后输出 HTML/SVG；待核结论留在研究记录，不阻塞无关已支持内容。旧报告仍可按原命令重新渲染。 ```bash python3 /path/to/topic-knowledge-system/scripts/topic_handoff.py audit --research research.json --topic topic.json …
Read the whole file at its exact version.
How to install
mdr add linchunhui/paperreading-skills/topic-knowledge-system@sha256:2e97651141543b9bThe line at the top of this page pins the label git:20261104.36521d0, 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_rvmih46rcq3mrrov)
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Versions
The registry has recorded 3 versions of this file, all committed on Nov 4, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261104.36521d0 latest | 2026-11-04 | 36521d0 | 3,172 B | A | view · diff |
| git:20261104.5c23432 | 2026-11-04 | 5c23432 | 3,037 B | A | view · diff |
| git:20261104.7322b99 | 2026-11-04 | 7322b99 | 2,502 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 (3172 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
linchunhui/paperreading-skills · 23 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rvmih46rcq3mrrov GET https://markdownregistry.com/api/v1/resolve?ref=linchunhui/paperreading-skills/topic-knowledge-system GET https://markdownregistry.com/api/v1/blob/2e97651141543b9b22f6f7659f1c5b5793adf1a8ffaaf7e48861b0eb96520b7c
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.