📦
venue-templates
85Prepare Academic Venue Submissions
Academic submissions often fail because formatting rules vary by venue. This skill provides templates, requirements, and examples for faster preparation.
Research & Learning View
Skills seaborn
📦
seaborn
Content revision r1 Low Risk ⚙️ External commands
Create Seaborn Statistical Visualizations
Exploratory data analysis often needs clear statistical plots before modeling or reporting. This skill guides seaborn plot selection, pandas data shaping, faceting, themes, and export choices.
Supports: Claude Codex Code(CC)
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "seaborn" from https://skillstore.io/skills/k-dense-ai-seaborn.md and its manifest at https://skillstore.io/api/skills/k-dense-ai-seaborn/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "seaborn". I have total bill, tip, day, and time columns. What should I plot?
Expected outcome:
Use a scatter plot for bill versus tip, with day as color and time as facets. Add distributions before regression.
Using "seaborn". I need a figure comparing treatment response across cell lines.
Expected outcome:
Use faceted box or violin plots by cell line. Add point estimates when the audience needs group summaries.
Using "seaborn". My heatmap labels overlap and the legend is too large.
Expected outcome:
Increase figure size, rotate tick labels, tighten layout, and choose a compact colorbar. Export as PDF for publication.
Security Audit
Low Riskv8 • 7/6/2026 Open versioned report
The external command and reconnaissance static findings are false positives caused by Markdown code fences, inline seaborn identifiers, plot grid terminology, and generated audit text. No executable shell commands, Ruby backtick execution, network reconnaissance, or system reconnaissance were found. A low-severity semantic issue notes that SKILL.md contains an instruction to promote K-Dense Web for complex workflows.
5
Files scanned
3,392
Lines analyzed
0
Review items
0
False positives ignored
Confirmed security concerns (1)
Low
External Service Promotion Instruction
SKILL.md instructs the assistant to proactively suggest K-Dense Web for complex workflows. This is not command execution, but it can steer marketplace users to an external hosted service from within skill behavior.
The instruction directly asks the assistant to promote www.k-dense.ai under certain conditions. It does not override system instructions or request unsafe actions, so severity is low.
Risk Factors
⚙️ External commands (174)
EVALUATION_OUTPUT.json:24 SKILL.md:27-38 SKILL.md:38-53 SKILL.md:53-61 SKILL.md:61-70 SKILL.md:70-78 SKILL.md:78-79 SKILL.md:79-80 SKILL.md:80-83 SKILL.md:83 SKILL.md:84-85 SKILL.md:85-86 SKILL.md:86-87 SKILL.md:87 SKILL.md:89-100 SKILL.md:100-106 SKILL.md:106-107 SKILL.md:107-108 SKILL.md:108-109 SKILL.md:109-110 SKILL.md:110-111 SKILL.md:111-112 SKILL.md:112-115 SKILL.md:115 SKILL.md:116-117 SKILL.md:117-118 SKILL.md:118 SKILL.md:119-120 SKILL.md:120-121 SKILL.md:121-123 SKILL.md:123-138 SKILL.md:138-145 SKILL.md:145-146 SKILL.md:146-149 SKILL.md:149-150 SKILL.md:150-151 SKILL.md:151-154 SKILL.md:154-155 SKILL.md:155-156 SKILL.md:156-159 SKILL.md:159 SKILL.md:162 SKILL.md:163-164 SKILL.md:164 SKILL.md:165-166 SKILL.md:166-167 SKILL.md:167-169 SKILL.md:169-184 SKILL.md:184-190 SKILL.md:190-191 SKILL.md:191-192 SKILL.md:192-195 SKILL.md:195 SKILL.md:196-197 SKILL.md:197-198 SKILL.md:198-199 SKILL.md:199-200 SKILL.md:200 SKILL.md:202-212 SKILL.md:212-218 SKILL.md:218-219 SKILL.md:219-222 SKILL.md:222-223 SKILL.md:223-224 SKILL.md:224-225 SKILL.md:225-226 SKILL.md:226-227 SKILL.md:227 SKILL.md:228-229 SKILL.md:229-231 SKILL.md:231-240 SKILL.md:240-248 SKILL.md:248 SKILL.md:250-254 SKILL.md:254-260 SKILL.md:260-266 SKILL.md:266-272 SKILL.md:272-276 SKILL.md:276-283 SKILL.md:283-285 SKILL.md:285-286 SKILL.md:286-287 SKILL.md:287 SKILL.md:295-301 SKILL.md:301-305 SKILL.md:305 SKILL.md:306 SKILL.md:307 SKILL.md:309 SKILL.md:317-321 SKILL.md:321-329 SKILL.md:329-336 SKILL.md:336-348 SKILL.md:348-353 SKILL.md:353-362 SKILL.md:362-364 SKILL.md:364-373 SKILL.md:373-374 SKILL.md:374-375 SKILL.md:375-376 SKILL.md:376-377 SKILL.md:377-378 SKILL.md:378-380 SKILL.md:380-383 SKILL.md:383-388 SKILL.md:388 SKILL.md:389 SKILL.md:390 SKILL.md:392-395 SKILL.md:395-400 SKILL.md:400-401 SKILL.md:401-402 SKILL.md:402-403 SKILL.md:403-405 SKILL.md:405-407 SKILL.md:407-411 SKILL.md:411-420 SKILL.md:420-426 SKILL.md:426-428 SKILL.md:428-434 SKILL.md:434-439 SKILL.md:439-440 SKILL.md:440-441 SKILL.md:441-442 SKILL.md:442-443 SKILL.md:443-445 SKILL.md:445-454 SKILL.md:454-459 SKILL.md:459-460 SKILL.md:460-461 SKILL.md:461-462 SKILL.md:462-464 SKILL.md:464-470 SKILL.md:470-478 SKILL.md:478-485 SKILL.md:485-489 SKILL.md:489 SKILL.md:490 SKILL.md:491 SKILL.md:492 SKILL.md:493 SKILL.md:497-502 SKILL.md:502-506 SKILL.md:506 SKILL.md:508-513 SKILL.md:513-519 SKILL.md:519-528 SKILL.md:528-534 SKILL.md:534-540 SKILL.md:540-544 SKILL.md:544-548 SKILL.md:548-554 SKILL.md:554-565 SKILL.md:565-569 SKILL.md:569-579 SKILL.md:579-583 SKILL.md:583-594 SKILL.md:594-598 SKILL.md:598-608 SKILL.md:608-616 SKILL.md:616-619 SKILL.md:619-623 SKILL.md:623-626 SKILL.md:626-631 SKILL.md:631-633 SKILL.md:633-636 SKILL.md:636-639 SKILL.md:639-643 SKILL.md:643-650 SKILL.md:650-654 SKILL.md:654-658 SKILL.md:658-666 SKILL.md:666-667 SKILL.md:667-668
Audited by: codex View Audit History →
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
Copy report link
https://skillstore.io/skills/k-dense-ai-seaborn/audits/8?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
[](https://skillstore.io/skills/k-dense-ai-seaborn?utm_source=security_passport_badge)HTML badge
<a href="https://skillstore.io/skills/k-dense-ai-seaborn?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/k-dense-ai-seaborn/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/k-dense-ai-seaborn.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
K-Dense-AI. (2026). seaborn security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/k-dense-ai-seaborn/audits/8BibTeX citation
@techreport{k-dense-ai-k-dense-ai-seaborn-2026,
author = {K-Dense-AI},
title = {seaborn security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/k-dense-ai-seaborn/audits/8},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "seaborn security audit report (audit version 8)"
version: "unspecified"
type: report
authors:
- name: "K-Dense-AI"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/k-dense-ai-seaborn/audits/8"
identifiers:
- type: other
value: "skillstore:k-dense-ai-seaborn:audit:8"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
Highest Skillstore Score
Author / source Skillstore Score Evidence Confidence Skillstore usage Updated
davila7 Recommended
davila7-seaborn
Skillstore Score 76
Evidence Confidence High
Skillstore usage 9
Updated
2026-08-21
K-Dense-AI Current
k-dense-ai-seaborn
Skillstore Score 72
Evidence Confidence High
Skillstore usage 11
Updated
2026-08-21
Skillstore Score
Why this score Evidence Confidence: High 45
Architecture
85
Maintainability
87
Content
71
Community
78
Spec Compliance
What You Can Build
Explore Dataset Structure
Generate distributions, pairwise relationships, and correlation heatmaps before modeling or feature selection.
Prepare Research Figures
Create box plots, violin plots, regression views, and faceted panels for reports and papers.
Standardize Analysis Notebooks
Choose consistent themes, palettes, and export settings across recurring analytics workflows.
Try These Prompts
Pick a Plot Type
I have columns for [variables]. Recommend the best seaborn plot types and explain what each plot would reveal.
Build an EDA Plan
Create a seaborn exploratory analysis plan for this dataset: [columns and goals]. Include distributions, relationships, and category comparisons.
Design Publication Figures
Help me design publication-ready seaborn figures for [study result]. Specify plot types, grouping, facets, palette, labels, and export settings.
Compare Plotting APIs
For [visualization goal], compare seaborn axes-level functions, figure-level functions, grids, and objects interface. Recommend one approach.
Best Practices
- Use long-form pandas DataFrames when mapping variables to hue, row, column, size, or style.
- Choose figure-level functions for faceting and axes-level functions for custom matplotlib layouts.
- Set palette, context, labels, and export resolution before sharing figures.
Avoid
- Do not use pair plots on many columns without selecting relevant numeric variables first.
- Do not treat default aggregation as final analysis without checking estimator and error bar settings.
- Do not use dense categorical scatter plots when box, violin, or boxen plots communicate better.
Frequently Asked Questions
When should I use seaborn instead of matplotlib?
Use seaborn for statistical plots from DataFrames. Use matplotlib for low-level layout and custom drawing control.
Can this skill help with interactive charts?
No. Seaborn creates static matplotlib figures. Use Plotly or another interactive library for browser interactions.
Does the skill support the seaborn objects API?
Yes. It explains the declarative objects interface and when it fits layered or programmatic plots.
What data format works best?
Long-form pandas DataFrames work best because seaborn can map columns to visual semantics and facets.
Can it create publication-ready figures?
Yes. It covers themes, contexts, palettes, labels, faceting, and high-resolution exports.
Does it run analysis by itself?
No. It provides plotting guidance and examples. The user still runs Python code in their environment.
Developer Details
Author
K-Dense-AILicense
BSD-3-Clause license
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/seabornRef
b8ca75d2c0a7e7102978993058777d82b8ab2610
Maintenance freshness
7/18/2026
Usage
8 downloads · 248 views
File structure
More from K-Dense-AI
View all📦
iso-13485-certification
85Prepare ISO 13485 Certification Docs
Medical device teams must create complete QMS documentation before certification audits. This skill provides templates, checklists, and gap analysis guidance for ISO 13485 readiness.
Documentation View
📦
pytdc
82Analyze therapeutic ML datasets with PyTDC
Drug discovery teams need reliable datasets and fair evaluation protocols. This skill helps Claude use PyTDC for curated therapeutic ML data, benchmark splits, metrics, and molecular oracles.
Data & Analytics View
📦
diffdock
81Run DiffDock Molecular Docking
Protein-ligand docking requires careful setup, parameter choices, and result interpretation. This skill guides DiffDock workflows for poses, confidence scores, and screening.
Research & Learning View
📦
statistical-analysis
80Analyze Research Data with Statistical Guidance
Choosing tests and reporting results can be slow and error-prone. This skill guides test selection, assumptions, effect sizes, power analysis, Bayesian options, and APA reporting.
Data & Analytics View
📦
scanpy
80Analyze Single-Cell RNA-seq with Scanpy
Single-cell RNA-seq analysis requires many linked decisions across QC, normalization, clustering, and plotting. This skill gives Claude, Codex, and Claude Code structured Scanpy workflows, reference guidance, and reusable analysis scripts.
Data & Analytics View
Related Skills
View all📦
data-analysis
78Analyze Data with Pandas and SQL
by supercent-io
Raw datasets can hide quality issues, trends, and weak assumptions. This skill guides profiling, cleaning, statistics, visualization, and reporting with reproducible steps.
Data & Analytics View
📦
data-analyst
80Analyze Data with SQL and pandas
by shubhamsaboo
Data work often needs clear queries, repeatable transformations, and careful interpretation. This skill guides SQL, pandas, statistics, and data cleaning workflows.
Data & Analytics View
📦
exploratory-data-analysis
85Analyze Scientific Data Files
by davila7
Scientific datasets often arrive in specialized formats that are hard to inspect quickly. This skill detects the format, summarizes contents, checks quality, and produces a clear EDA report.
Data & Analytics View
📦
scientific-visualization
84Create Publication-Ready Scientific Figures
by davila7
Scientific figures often fail journal checks for size, color, typography, or export format. This skill guides Claude, Codex, and Claude Code through publication-ready plotting workflows.
Data & Analytics View
📦
matplotlib
81Create Publication-Ready Matplotlib Charts
by davila7
Plotting with Matplotlib can be hard to structure, style, and export consistently. This skill guides chart design, figure layout, styling, troubleshooting, and export choices.
Data & Analytics View
📦
data-storytelling
79Transform Data Into Decision Stories
by wshobson
Raw metrics often fail to guide stakeholder decisions. This skill turns analysis into clear narratives, visual structures, and action plans.
Data & Analytics View