paper-figures SKILL.md skillA
paper-figures 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-figures@v0.1.0Pins v0.1.0 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/4-writing/paper-figures/SKILL.md- Versions recorded
- 1
- Latest version
- v0.1.0, committed Jul 6, 2026
- Size
- 19,767 bytes
- Repository stars
- 12
- License
- none declared
Use this skill to produce standalone, publication-ready PNG graphics and reproducible matplotlib scripts from tabular data (CSVs or DataFrames). This tool is built specifically for rendering numerical data into formal scientific visualizations—including scatter, line, bar, pie, ring, bubble, tornado, KDE, violin, box, heatmap, histogram, and area charts, plus composite multi-panel figures that combine these types in a single image—for scholarly manuscripts. Only trigger this skill when the…
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/交叉引用/Guard/Verify 本地化）。License: references/licenses/EvoSkills-Apache-2.0.txt # Paper Figures A structured approach to producing publication-ready chart figures (PNG) from tabular data plus a natural-language description, using matplotlib. ## Purpose 从表格数据（CSV / DataFrame / 内联表格）与自然语言图表描述出发，产出可复现的 matplotlib 脚本与出版级 PNG 图表，供论文正文使用。输入是用户提供的数据源与图表描述；输出是可重复运行的 `plot.py`、对应的 `plot.png`，以及 `figure-spec.md` / `audit.md` / `final-status.md` 三个校验产物。默认写入用户指定的论文项目目录（未指定则写入当前工作目录），不写入 vault 内部目录。 ## When to Use This Skill - User provides a CSV / dataframe / inline data and asks for a chart - User describes a target figure in words and wants it rendered - User mentions "figure", "plot", "chart", "visualize", "render" for a paper or experiment --- ## Inputs and Output **Inputs the agent will receive:** - A **data source**: CSV file path, JSON, or inline table. …
Read the whole file at its exact version.
How to install
mdr add kendrick-stein/mcislab_deepread/paper-figures@sha256:35363d7f89f3a9cbThe line at the top of this page pins the label v0.1.0, 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_szkzrf5r3bbahhsv)
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 (19767 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_szkzrf5r3bbahhsv GET https://markdownregistry.com/api/v1/resolve?ref=kendrick-stein/mcislab_deepread/paper-figures GET https://markdownregistry.com/api/v1/blob/35363d7f89f3a9cbba523f7d8f967be2e95f031f90b555bb8e08f3af123cbf00
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.