paper-graph SKILL.md skillA
paper-graph from kendrick-stein/mcislab_deepread is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add kendrick-stein/mcislab_deepread/paper-graph@v0.1.1Pins v0.1.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- kendrick-stein/mcislab_deepread
- Path
skills/7-presentation/paper-graph/SKILL.md- Versions recorded
- 1
- Latest version
- v0.1.1, committed Jul 6, 2026
- Size
- 29,102 bytes
- Repository stars
- 12
- License
- none declared
Use this skill to map the **genealogical lineage and historical progression** of a research field. It is designed to visualize the **evolutionary path of ideas**, showing how technical challenges in earlier works were addressed by subsequent research improvements. The final deliverable is a Markdown file with embedded Mermaid diagrams the user can paste into a viewer or commit to their repo. Trigger this when the user needs to understand the **developmental trajectory of a topic**, the 'family…
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
> Vendored from [EvoScientist/EvoSkills](https://github.com/EvoScientist/EvoSkills) (Apache-2.0), adapted for ReadPaperMachine（工具名/路径/交叉引用/Guard/Verify 本地化）。License: references/licenses/EvoSkills-Apache-2.0.txt # Paper Graph Build a Markdown report with embedded Mermaid diagrams showing how research on a user-specified topic (or paper) evolved — clustered into challenges → solutions and traced as per-solution evolution paths. The skill has no outbound LLM dependency. The host agent provides all LLM calls; the skill provides deterministic data fetchers (S2 / DeepXiv), prompt templates, markdown parsers, and Mermaid renderers. Run the runbook below step-by-step. ## Purpose 给定一个研究主题或种子论文，构建"挑战 → 方案 → 论文演进路径"的 lineage 图，产出带 Mermaid 图的 Markdown 报告，帮助梳理某个方向的历史脉络。输入是自由文本的研究 query（主题、种子论文标题/引用，或二者混合）与输出路径；输出是单个 Markdown 文件（taxonomy 图 + 每个 solution 的演进图 + 论文附录）。 该报告是 `DomainMaps/` 的补充材料，而非替代品：图中呈现的是可追溯到引用关系或明确方法继承的演进路径，若报告中的发现值得并入某个 Domain Map，在报告末尾标注"建议加入 DomainMaps"，交给 `Workbench/queue.json` 走 Review 流程——不直接修改 `DomainMaps/` 下的文件（`DomainMaps/` 的直接写入仅限 `survey-refresh` 的 `## 近期格局变化` 小节）。 …
Read the whole file at its exact version.
How to install
mdr add kendrick-stein/mcislab_deepread/paper-graph@sha256:f492088683fcf106The line at the top of this page pins the label v0.1.1, 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_mnyfamdkxagmw3mt)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 6, 2026.
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 (29102 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
kendrick-stein/mcislab_deepread · 12 stars · license none declared · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_mnyfamdkxagmw3mt GET https://markdownregistry.com/api/v1/resolve?ref=kendrick-stein/mcislab_deepread/paper-graph GET https://markdownregistry.com/api/v1/blob/f492088683fcf1063ec235e07f92d110f02e31157b481f40bd08ab2d95e58c55
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.