seaborn-statistical-plots SKILL.md skillA
seaborn-statistical-plots from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jaechang-hits/sciagent-skills/seaborn-statistical-plots@git:20260528.7303680Pins git:20260528.7303680 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jaechang-hits/sciagent-skills
- Path
skills/data-visualization/seaborn-statistical-plots/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260528.7303680, committed May 28, 2026
- First version recorded
- Feb 18, 2026
- Size
- 34,417 bytes
- Repository stars
- 381
- License
- a license file GitHub does not identify
Statistical visualization on matplotlib with native pandas support. Auto aggregation, CIs, grouping for distributions (histplot, kdeplot), categorical (boxplot, violinplot), relational (scatterplot, lineplot), regression (regplot, lmplot), matrix (heatmap, clustermap), grids (pairplot, FacetGrid). Use for quick statistical summaries; matplotlib for fine control; plotly for interactive HTML.
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
# Seaborn — Statistical Plots ## Overview Seaborn is a Python library for statistical data visualization built on top of matplotlib. It works directly with pandas DataFrames, automatically handles grouping by categorical variables, computes confidence intervals and kernel density estimates, and produces attractive publication-ready figures with minimal configuration. Seaborn separates axes-level functions (embeddable in custom layouts) from figure-level functions (with built-in faceting), enabling both quick exploratory analysis and structured multi-panel figures. ## When to Use - Comparing gene expression, protein abundance, or measurement distributions across experimental conditions (treatment vs. control, cell lines, time points) - Generating grouped box plots, violin plots, or strip plots to show both summary statistics and individual data points simultaneously - Visualizing pairwise correlations in multi-gene or multi-feature datasets as annotated heatmaps - Plotting regression fits with confidence bands between continuous variables (e.g., cell viability vs. drug concentration) …
Read the whole file at its exact version.
How to install
mdr add jaechang-hits/sciagent-skills/seaborn-statistical-plots@sha256:6dbc57912ee67726The line at the top of this page pins the label git:20260528.7303680, 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_gqahwhczizlbsmqr)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Feb 18, 2026 and May 28, 2026, about one every 49 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260528.7303680 latest | 2026-05-28 | 7303680 | 34,417 B | A | view · diff |
| git:20260428.81ea2d2 | 2026-04-28 | 81ea2d2 | 34,425 B | A | view · diff |
| git:20260218.69792e3 | 2026-02-18 | 69792e3 | 34,601 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 (34417 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
jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gqahwhczizlbsmqr GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/seaborn-statistical-plots GET https://markdownregistry.com/api/v1/blob/6dbc57912ee67726e9690e4eadb713ec46bea719d265a7f779f809242a294efe
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.