科研可视化工具 SKILL.md skillA
科研可视化工具 from orinvoss/dsh-math-team is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add orinvoss/dsh-math-team/科研可视化工具@git:20260906.87940c2Pins git:20260906.87940c2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- orinvoss/dsh-math-team
- Path
presets/model-code/skills/math-model-code/references/可视化规范/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260906.87940c2, committed Sep 6, 2026
- First version recorded
- Aug 14, 2026
- Size
- 13,124 bytes
- Repository stars
- 7
- License
- MIT
从数据剖析到出版级成图的完整可视化工具。先做数据剖析（列类型/样本量/分布/异常值/分组结构/相关性）， 再结合论证目标推荐图型，主动拦截科研画图经典错误，产出 Nature / Science / IEEE / Elsevier / PNAS / 中文核心期刊级别的成图。覆盖数据 EDA、图表契约、选图决策、出版级绘制、程序自检 + AI 读图闭环、多格式 导出和文件审计。数学建模场景额外支持三类图体系（原始数据/过程/结果）和子问题覆盖检查。 当用户涉及论文配图、科研画图、数据可视化、选图、期刊投稿图、figure、出版级图表、matplotlib、seaborn、 plotly、误差棒、显著性标注、色盲安全配色、矢量图导出、中文论文图表、多面板时使用。.
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
> **⚠️ 工具脚本未随附**：本文档引用到的 `tools/*` 路径（如 `tools/latex`、`tools/docx`、`tools/figure/scripts`、`tools/paper_search` 等）来自参考仓库的**工具脚本**，本预设**仅随附方法论文档，未包含这些脚本**。遇到文档中的此类命令时：按正文描述的方法自行实现等价脚本，或由团队在共享工作区另行接入对应工具；**不要假设这些脚本存在于本机**。方法规范本身仍然有效。 # 科研可视化工具 > 从数据剖析到出版级成图 | Python + MATLAB | 自检 + AI 读图闭环 ## 路径 - `SKILL_ROOT`：math-modeling-skill 仓库根目录（只读）。 - 本文件中所有 `tools/figure/...` 路径均相对于 `SKILL_ROOT`。 - CLI 命令使用 `"<SKILL_ROOT>/tools/figure/scripts/..."` 格式，确保从任何工作目录均可执行。 - Python import 使用 `sys.path.insert(0, os.path.join(SKILL_ROOT, 'tools', 'figure', 'scripts'))` 后导入。 ## 概述 本工具融合 nature-figure 的图表契约/后端路由架构与 scipilot-figure-skill 的数据剖析/选图决策/自检闭环， 并扩展数学建模特有的三类图体系和子问题覆盖检查。**永远先思考再画**： 1. 先理解数据再选图——拿到数据先做 EDA，用事实驱动图型选择 2. 先想清楚"这张图要论证什么"——同样数据，不同论点 = 不同图 3. 主动拦截科研画图的经典错误，而不是顺从 4. 维度太多就建议拆图，不硬塞 **只覆盖纯数据图**：折线、柱状、散点、箱线/小提琴、热力图、误差棒、分布图、相关性矩阵、雷达图、 3D 曲面、多面板组合。**不做**示意图、流程图、架构图。 ## 工作流 ### 第 1 步：数据剖析 ```bash python "<SKILL_ROOT>/tools/figure/scripts/profile_data.py" data.csv --group group --group condition ``` 输出：每列类型、样本量、缺失率、连续列描述统计 + 偏度 + 异常值、分组样本量分布、相关性矩阵、初步图型建议。 不会读报告？查 `tools/figure/references/guides/data_profiling.md`。 **重点核对**：列类型识别对不对？每组 n 是多少？是否高度偏态？是否需要对数轴？ …
Read the whole file at its exact version.
How to install
mdr add orinvoss/dsh-math-team/科研可视化工具@sha256:1fbb50ad1a17025dThe line at the top of this page pins the label git:20260906.87940c2, 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_s6rxsnvbnsh7i2qf)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Aug 14, 2026 and Sep 6, 2026, about one every 12 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260906.87940c2 latest | 2026-09-06 | 87940c2 | 13,124 B | A | view · diff |
| git:20260822.c1eb5f3 | 2026-08-22 | c1eb5f3 | 13,107 B | A | view · diff |
| git:20260814.3ae2552 | 2026-08-14 | 3ae2552 | 12,611 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 (13124 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
orinvoss/dsh-math-team · 7 stars · license MIT · pushed 2026-09-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_s6rxsnvbnsh7i2qf GET https://markdownregistry.com/api/v1/resolve?ref=orinvoss/dsh-math-team/科研可视化工具 GET https://markdownregistry.com/api/v1/blob/1fbb50ad1a17025d750f7d2624edd030a3f10f365bf5edf6a1c0751c902dcc6d
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.
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