seaborn SKILL.md skillA
seaborn from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/seaborn@v1.5Pins v1.5 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/seaborn/SKILL.md- Versions recorded
- 6
- Latest version
- v1.5, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 13,464 bytes
- Repository stars
- 56,497
- License
- MIT
Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps. Supports function and objects interfaces with explicit aggregation, uncertainty, and missing-data handling. Best suited to static exploratory plots; plotly covers interactive figures and scientific-visualization covers publication styling.
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 Visualization ## Overview Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code. ## Environment and Installation Reviewed 2026-10-01 against the current stable [Seaborn 0.13.2 documentation](https://seaborn.pydata.org/api.html) and released source. Native synthetic checks used Python 3.13, Seaborn 0.13.2, Matplotlib 3.11.2, pandas 3.0.6, NumPy 2.5.3, SciPy 1.18.1, and statsmodels 0.15.0. Official docs support Python 3.8+ with mandatory NumPy, pandas, and matplotlib dependencies; scipy, statsmodels, and fastcluster are optional for some advanced statistics and clustering workflows. The tested stack emits upstream pandas Copy-on-Write and Matplotlib deprecation warnings; successful current plots do not guarantee compatibility with future pandas 4 or Matplotlib 3.13. ```bash # Reproducible install for examples in this skill uv pip install "seaborn==0.13.2" # Include optional statistical dependencies when needed uv pip install "seaborn[stats]==0.13.2" ``` …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/seaborn@sha256:d1500d1e3d9db1dbThe line at the top of this page pins the label v1.5, 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_gfdi3pknleb4m4k6)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 22 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.5 latest | 2026-10-01 | a92663a | 13,464 B | A | view · diff |
| v1.4 | 2026-09-30 | ce9e6e9 | 11,161 B | A | view · diff |
| v1.3 | 2026-09-02 | 1e5eeff | 10,664 B | A | view · diff |
| v1.2 | 2026-07-26 | 2f2022d | 9,706 B | A | view · diff |
| v1.1 | 2026-07-26 | b085e11 | 22,465 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 22,470 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 (13464 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
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gfdi3pknleb4m4k6 GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/seaborn GET https://markdownregistry.com/api/v1/blob/d1500d1e3d9db1db4c72cd272861378d1b98b0b5a5a98e8a3fca5a45bc0c6b2e
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.
More from k-dense-ai/scientific-agent-skills
Every file in k-dense-ai/scientific-agent-skills